Table of Contents

• Child Language Acquisition Studied with WearablesAlejandrina Cristià. [doi]
• Language Modeling and Artificial IntelligenceTomás Mikolov. [doi]
• Uncovering the Acoustic Cues of COVID-19 InfectionSriram Ganapathy. [doi]
• Learning Speech Models from Multi-Modal DataKaren Livescu. [doi]
• Towards Automatic Speech Recognition for People with Atypical SpeechHeidi Christensen. [doi]
• Ethical and Technological Challenges of Conversational AIPascale Fung. [doi]
• Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep LearningHermann Ney. [doi]
• Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/VerbatimizationGonçal V. Garcés Díaz-Munío, Joan Albert Silvestre-Cerdà, Javier Jorge, Adrià Giménez-Pastor, Javier Iranzo-Sánchez, Pau Baquero-Arnal, Nahuel Roselló, Alejandro Pérez González de Martos, Jorge Civera, Albert Sanchís, Alfons Juan. [doi]
• Adaptive Listening to Everyday SoundscapesMounya Elhilali. [doi]
• Conversion of Airborne to Bone-Conducted Speech with Deep Neural NetworksMichael Pucher, Thomas Woltron. 1-5 [doi]
• T5G2P: Using Text-to-Text Transfer Transformer for Grapheme-to-Phoneme ConversionMarkéta Rezácková, Jan Svec, Daniel Tihelka. 6-10 [doi]
• Evaluating the Extrapolation Capabilities of Neural Vocoders to Extreme Pitch ValuesOlivier Perrotin, Hussein El Amouri, Gérard Bailly, Thomas Hueber. 11-15 [doi]
• A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource LanguagesPhat Do, Matt Coler, Jelske Dijkstra, Esther Klabbers. 16-20 [doi]
• Acoustic Indicators of Speech Motor Coordination in Adults With and Without Traumatic Brain InjuryTanya Talkar, Nancy Pearl Solomon, Douglas S. Brungart, Stefanie E. Kuchinsky, Megan M. Eitel, Sara M. Lippa, Tracey A. Brickell, Louis M. French, Rael T. Lange, Thomas F. Quatieri. 21-25 [doi]
• On Modeling Glottal Source Information for Phonation Assessment in Parkinson's DiseaseJuan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss. 26-30 [doi]
• Distortion of Voiced Obstruents for Differential Diagnosis Between Parkinson's Disease and Multiple System AtrophyKhalid Daoudi, Biswajit Das, Solange Milhé de Saint Victor, Alexandra Foubert-Samier, Anne Pavy-Le Traon, Olivier Rascol, Wassilios G. Meissner, Virginie Woisard. 31-35 [doi]
• A Study into Pre-Training Strategies for Spoken Language Understanding on Dysarthric SpeechPu Wang, Bagher BabaAli, Hugo Van Hamme. 36-40 [doi]
• EasyCall Corpus: A Dysarthric Speech DatasetRosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Maura Pugliatti, Mariachiara Sensi, Luciano Fadiga, Leonardo Badino. 41-45 [doi]
• A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram ModelingXiaoyu Bie, Laurent Girin, Simon Leglaive, Thomas Hueber, Xavier Alameda-Pineda. 46-50 [doi]
• Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional MethodsMetehan Yurt, Pavan Kantharaju, Sascha Disch, Andreas Niedermeier, Alberto N. Escalante-B., Veniamin I. Morgenshtern. 51-55 [doi]
• Identification of F1 and F2 in Speech Using Modified Zero Frequency FilteringRaviShankar Prasad, Mathew Magimai-Doss. 56-60 [doi]
• Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing VoiceYann Teytaut, Axel Roebel. 61-65 [doi]
• Adaptive Convolutional Neural Network for Text-Independent Speaker RecognitionSeong-Hu Kim, Yong-Hwa Park. 66-70 [doi]
• Bidirectional Multiscale Feature Aggregation for Speaker VerificationJiajun Qi, Wu Guo, Bin Gu 0004. 71-75 [doi]
• Improving Time Delay Neural Network Based Speaker Recognition with Convolutional Block and Feature Aggregation MethodsYu-Jia Zhang, Yih-Wen Wang, Chia-Ping Chen, Chung-Li Lu, Bo-Cheng Chan. 76-80 [doi]
• Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker VerificationYanfeng Wu, Junan Zhao, Chenkai Guo, Jing Xu. 81-85 [doi]
• Binary Neural Network for Speaker VerificationTinglong Zhu, Xiaoyi Qin, Ming Li. 86-90 [doi]
• Mutual Information Enhanced Training for Speaker EmbeddingYouzhi Tu, Man-Wai Mak. 91-95 [doi]
• Y-Vector: Multiscale Waveform Encoder for Speaker EmbeddingGe Zhu, Fei Jiang, Zhiyao Duan. 96-100 [doi]
• Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker VerificationYan Liu, Zheng Li, Lin Li, Qingyang Hong. 101-105 [doi]
• Serialized Multi-Layer Multi-Head Attention for Neural Speaker EmbeddingHongning Zhu, Kong-Aik Lee, Haizhou Li 0001. 106-110 [doi]
• TacoLPCNet: Fast and Stable TTS by Conditioning LPCNet on Mel Spectrogram PredictionsCheng Gong, Longbiao Wang, Ju Zhang 0001, Shaotong Guo, Yuguang Wang, Jianwu Dang. 111-115 [doi]
• FastPitchFormant: Source-Filter Based Decomposed Modeling for Speech SynthesisTaejun Bak, Jae-Sung Bae, Hanbin Bae, Young Ik Kim, Hoon-Young Cho. 116-120 [doi]
• Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP LayerTaiki Nakamura, Tomoki Koriyama, Hiroshi Saruwatari. 121-125 [doi]
• Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-SpeechNaoto Kakegawa, Sunao Hara, Masanobu Abe, Yusuke Ijima. 126-130 [doi]
• Information Sieve: Content Leakage Reduction in End-to-End Prosody Transfer for Expressive Speech SynthesisXudong Dai, Cheng Gong, Longbiao Wang, Kaili Zhang. 131-135 [doi]
• Deliberation-Based Multi-Pass Speech SynthesisQingyun Dou, Xixin Wu, Moquan Wan, Yiting Lu, Mark J. F. Gales. 136-140 [doi]
• Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration ModelingIsaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang 0033, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu. 141-145 [doi]
• Transformer-Based Acoustic Modeling for Streaming Speech SynthesisChunyang Wu, Zhiping Xiu, Yangyang Shi, Ozlem Kalinli, Christian Fuegen, Thilo Köhler, Qing He. 146-150 [doi]
• PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTSYe Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu. 151-155 [doi]
• Speed up Training with Variable Length Inputs by Efficient Batching StrategiesZhenhao Ge, Lakshmish Kaushik, Masanori Omote, Saket Kumar. 156-160 [doi]
• Funnel Deep Complex U-Net for Phase-Aware Speech EnhancementYuhang Sun, Linju Yang, Huifeng Zhu, Jie Hao. 161-165 [doi]
• Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech EnhancementQiquan Zhang, Qi Song, Aaron Nicolson, Tian Lan, Haizhou Li 0001. 166-170 [doi]
• Perceptual Contributions of Vowels and Consonant-Vowel Transitions in Understanding Time-Compressed Mandarin SentencesChangjie Pan, Feng Yang, Fei Chen. 171-175 [doi]
• Transfer Learning for Speech Intelligibility Improvement in Noisy EnvironmentsRitujoy Biswas, Karan Nathwani, Vinayak Abrol. 176-180 [doi]
• Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech IntelligibilityAyako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani. 181-185 [doi]
• Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech EnhancementWenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li. 186-190 [doi]
• Speech Enhancement with Weakly Labelled Data from AudioSetQiuqiang Kong, Haohe Liu, Xingjian Du, Li Chen, Rui Xia, Yuxuan Wang. 191-195 [doi]
• Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech EnhancementTsun-An Hsieh, Cheng Yu, Szu-Wei Fu, Xugang Lu, Yu Tsao 0001. 196-200 [doi]
• MetricGAN+: An Improved Version of MetricGAN for Speech EnhancementSzu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao 0001. 201-205 [doi]
• A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility PredictionAmin Edraki, Wai-Yip Chan, Jesper Jensen 0001, Daniel Fogerty. 206-210 [doi]
• Self-Supervised Learning Based Phone-Fortified Speech EnhancementYuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou. 211-215 [doi]
• Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech EnhancementKhandokar Md. Nayem, Donald S. Williamson. 216-220 [doi]
• Restoring Degraded Speech via a Modified Diffusion ModelJianwei Zhang, Suren Jayasuriya, Visar Berisha. 221-225 [doi]
• User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue SystemsHoang Long Nguyen 0005, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak. 226-230 [doi]
• Self-Supervised Dialogue Learning for Spoken Conversational Question AnsweringNuo Chen, Chenyu You, Yuexian Zou. 231-235 [doi]
• Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State TrackingRuolin Su, Ting-Wei Wu, Biing-Hwang Juang. 236-240 [doi]
• Dialogue Situation Recognition for Everyday Conversation Using Multimodal InformationYuya Chiba, Ryuichiro Higashinaka. 241-245 [doi]
• Neural Spoken-Response Generation Using Prosodic and Linguistic Context for Conversational SystemsYoshihiro Yamazaki, Yuya Chiba, Takashi Nose, Akinori Ito. 246-250 [doi]
• Semantic Transportation Prototypical Network for Few-Shot Intent DetectionWeiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou. 251-255 [doi]
• Domain-Specific Multi-Agent Dialog Policy Learning in Multi-Domain Task-Oriented ScenariosLi Tang, Yuke Si, Longbiao Wang, Jianwu Dang. 256-260 [doi]
• Leveraging ASR N-Best in Deep Entity RetrievalHaoyu Wang, John Chen, Majid Laali, Kevin Durda, Jeff King, William Campbell, Yang Liu. 261-265 [doi]
• End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-Switching Speech RecognitionShuai Zhang 0014, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao, Xuefei Liu, Zhengqi Wen. 266-270 [doi]
• Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language VarietiesKathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig. 271-275 [doi]
• Speech Acoustic Modelling Using Raw Source and Filter ComponentsErfan Loweimi, Zoran Cvetkovic, Peter Bell 0001, Steve Renals. 276-280 [doi]
• Noise Robust Acoustic Modeling for Single-Channel Speech Recognition Based on a Stream-Wise Transformer ArchitectureMasakiyo Fujimoto, Hisashi Kawai. 281-285 [doi]
• IR-GAN: Room Impulse Response Generator for Far-Field Speech RecognitionAnton Ratnarajah, Zhenyu Tang, Dinesh Manocha. 286-290 [doi]
• Scaling Sparsemax Based Channel Selection for Speech Recognition with ad-hoc Microphone ArraysJunqi Chen, Xiao-lei Zhang. 291-295 [doi]
• Multi-Channel Transformer Transducer for Speech RecognitionFeng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo. 296-300 [doi]
• Data Augmentation Methods for End-to-End Speech Recognition on Distant-Talk ScenariosEmiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty, Yosuke Kashiwagi, Shinji Watanabe 0001. 301-305 [doi]
• Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech RecognitionGuodong Ma, Pengfei Hu, Jian Kang 0006, Shen Huang, Hao Huang. 306-310 [doi]
• Rethinking Evaluation in ASR: Are Our Models Robust Enough?Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve. 311-315 [doi]
• Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech RecognitionMax W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu. 316-320 [doi]
• Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video StreamsYuanbo Hou, Zhesong Yu, Xia Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Dick Botteldooren. 321-325 [doi]
• Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity DetectionUi-Hyun Kim. 326-330 [doi]
• Noisy Student-Teacher Training for Robust Keyword SpottingHyun-Jin Park, Pai Zhu, Ignacio Lopez-Moreno, Niranjan Subrahmanya. 331-335 [doi]
• Multi-Channel VAD for Transcription of Group DiscussionOsamu Ichikawa, Kaito Nakano, Takahiro Nakayama, Hajime Shirouzu. 336-340 [doi]
• Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic EnvironmentsHengshun Zhou, Jun Du, Hang Chen, Zijun Jing, Shifu Xiong, Chin-Hui Lee. 341-345 [doi]
• Enrollment-Less Training for Personalized Voice Activity DetectionNaoki Makishima, Mana Ihori, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura. 346-350 [doi]
• Voice Activity Detection for Live Speech of Baseball Game Based on Tandem Connection with Speech/Noise Separation ModelYuto Nonaka, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki. 351-355 [doi]
• FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing ApplicationsYoung D. Kwon, Jagmohan Chauhan, Cecilia Mascolo. 356-360 [doi]
• End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local AttentionBo Wei, Meirong Yang, Tao Zhang, Xiao Tang, Xing Huang, Kyuhong Kim, Jaeyun Lee, Kiho Cho, Sung Un Park. 361-365 [doi]
• Segmental Contrastive Predictive Coding for Unsupervised Word SegmentationSaurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. 366-370 [doi]
• A Lightweight Framework for Online Voice Activity Detection in the WildXuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu 0004. 371-375 [doi]
• 0 Tracking in Nasal GruntsAurélie Chlébowski, Nicolas Ballier. 376-380 [doi]
• System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice ComparisonBruce Xiao Wang, Vincent Hughes. 381-385 [doi]
• Voicing Assimilations by French Speakers of German in Stop-Fricative SequencesAnne Bonneau. 386-390 [doi]
• The Four-Way Classification of Stops with Voicing and Aspiration for Non-Native Speech EvaluationTitas Chakraborty, Vaishali Patil, Preeti Rao. 391-395 [doi]
• Acoustic and Prosodic Correlates of Emotions in Urdu SpeechSaba Urooj, Benazir Mumtaz, Sarmad Hussain, Ehsan ul Haq. 396-400 [doi]
• Voicing Contrasts in the Singleton Stops of Palestinian Arabic: Production and PerceptionNour Tamim, Silke Hamann. 401-405 [doi]
• A Comparison of the Accuracy of Dissen and Keshet's (2016) DeepFormants and Traditional LPC Methods for Semi-Automatic Speaker RecognitionThomas Coy, Vincent Hughes, Philip Harrison, Amelia Jane Gully. 406-410 [doi]
• MAP Adaptation Characteristics in Forensic Long-Term Formant AnalysisMichael Jessen. 411-415 [doi]
• Cross-Linguistic Speaker Individuality of Long-Term Formant Distributions: Phonetic and Forensic PerspectivesJustin J. H. Lo. 416-420 [doi]
• Sound Change in Spontaneous Bilingual Speech: A Corpus Study on the Cantonese n-l Merger in Cantonese-English BilingualsRachel Soo, Khia A. Johnson, Molly Babel. 421-425 [doi]
• Characterizing Voiced and Voiceless Nasals in MizoWendy Lalhminghlui, Priyankoo Sarmah. 426-430 [doi]
• The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & PrimatesBjörn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp. 431-435 [doi]
• Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19Rubén Solera-Ureña, Catarina Botelho, Francisco Teixeira, Thomas Rolland, Alberto Abad, Isabel Trancoso. 436-440 [doi]
• The Phonetic Footprint of Covid-19?Philipp Klumpp, Tobias Bocklet, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, S. P. Bayerl, Juan Rafael Orozco-Arroyave, Elmar Nöth. 441-445 [doi]
• Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021Edresson Casanova, Arnaldo Candido Jr., Ricardo Corso Fernandes Junior, Marcelo Finger, Lucas Rafael Stefanel Gris, Moacir Antonelli Ponti, Daniel Peixoto Pinto da Silva. 446-450 [doi]
• Visual Transformers for Primates Classification and Covid DetectionSteffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien. 451-455 [doi]
• Deep-Learning-Based Central African Primate Species Classification with MixUp and SpecAugmentThomas Pellegrini. 456-460 [doi]
• A Deep and Recurrent Architecture for Primate Vocalization ClassificationRobert Müller, Steffen Illium, Claudia Linnhoff-Popien. 461-465 [doi]
• Introducing a Central African Primate Vocalisation Dataset for Automated Species ClassificationJoeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot, Heysem Kaya. 466-470 [doi]
• Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) WildGeorgios Rizos, Jenna Lawson, Zhuoda Han, Duncan Butler, James Rosindell, Krystian Mikolajczyk, Cristina Banks-Leite, Björn W. Schuller. 471-475 [doi]
• Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector FeaturesJosé Vicente Egas López, Mercedes Vetráb, László Tóth 0001, Gábor Gosztolya. 476-480 [doi]
• Ensemble-Within-Ensemble Classification for Escalation Prediction from SpeechOxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina, Alena Velichko, Danila Mamontov, Wolfgang Minker, Alexey Karpov 0001. 481-485 [doi]
• Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech ClassificationDominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth André. 486-490 [doi]
• Leveraging Speaker Attribute Information Using Multi Task Learning for Speaker Verification and DiarizationChau Luu, Peter Bell 0001, Steve Renals. 491-495 [doi]
• Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker RecognitionMagdalena Rybicka, Jesús Villalba, Piotr Zelasko, Najim Dehak, Konrad Kowalczyk. 496-500 [doi]
• Speaker Embeddings by Modeling Channel-Wise CorrelationsThemos Stafylakis, Johan Rohdin, Lukás Burget. 501-505 [doi]
• Multi-Task Neural Network for Robust Multiple Speaker Embedding ExtractionWeipeng He, Petr Motlícek, Jean-Marc Odobez. 506-510 [doi]
• ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw WaveformJunyi Peng, Xiaoyang Qu, Jianzong Wang, Rongzhi Gu, Jing Xiao 0006, Lukás Burget, Jan Cernocký. 511-515 [doi]
• Prosodic Disambiguation Using Chironomic Stylization of Intonation with Native and Non-Native SpeakersXiao Xiao, Nicolas Audibert, Grégoire Locqueville, Christophe d'Alessandro, Barbara Kuhnert, Claire Pillot-Loiseau. 516-520 [doi]
• Variation in Perceptual Sensitivity and Compensation for Coarticulation Across Adult and Child Naturally-Produced and TTS VoicesAleese Block, Michelle Cohn, Georgia Zellou. 521-525 [doi]
• Extracting Different Levels of Speech Information from EEG Using an LSTM-Based ModelMohammad Jalilpour-Monesi, Bernd Accou, Tom Francart, Hugo Van Hamme. 526-530 [doi]
• Word Competition: An Entropy-Based Approach in the DIANA Model of Human Word ComprehensionLouis ten Bosch, Lou Boves. 531-535 [doi]
• Time-to-Event Models for Analyzing Reaction Time SequencesLouis ten Bosch, Lou Boves. 536-540 [doi]
• Models of Reaction Times in Auditory Lexical Decision: RTonset versus RToffsetSophie Brand, Kimberley Mulder, Louis ten Bosch, Lou Boves. 541-545 [doi]
• SpecMix : A Mixed Sample Data Augmentation Method for Training with Time-Frequency Domain FeaturesGwantae Kim, David K. Han, Hanseok Ko. 546-550 [doi]
• SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene ClassificationHelin Wang, Yuexian Zou, Wenwu Wang. 551-555 [doi]
• An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event DetectionXu Zheng, Yan Song 0001, Li-Rong Dai 0001, Ian McLoughlin, Lin Liu. 556-560 [doi]
• Acoustic Scene Classification Using Kervolution-Based SubSpectralNetRitika Nandi, Shashank Shekhar, Manjunath Mulimani. 561-565 [doi]
• Event Specific Attention for Polyphonic Sound Event DetectionHarshavardhan Sundar, Ming Sun, Chao Wang. 566-570 [doi]
• AST: Audio Spectrogram TransformerYuan Gong, Yu-An Chung, James R. Glass. 571-575 [doi]
• Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic SceneSoonshin Seo, Donghyun Lee, Ji-Hwan Kim. 576-580 [doi]
• An Evaluation of Data Augmentation Methods for Sound Scene GeotaggingHelen L. Bear, Veronica Morfi, Emmanouil Benetos. 581-585 [doi]
• Optimizing Latency for Online Video Captioning Using Audio-Visual TransformersChiori Hori, Takaaki Hori, Jonathan Le Roux. 586-590 [doi]
• Variational Information Bottleneck for Effective Low-Resource Audio ClassificationShijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao. 591-595 [doi]
• Improving Weakly Supervised Sound Event Detection with Self-Supervised Auxiliary TasksSoham Deshmukh, Bhiksha Raj, Rita Singh. 596-600 [doi]
• Acoustic Event Detection with Classifier ChainsTatsuya Komatsu, Shinji Watanabe 0001, Koichi Miyazaki, Tomoki Hayashi. 601-605 [doi]
• Segment and Tone Production in Continuous Speech of Hearing and Hearing-Impaired ChildrenShu-Chuan Tseng, Yi-Fen Liu. 606-610 [doi]
• Effect of Carrier Bandwidth on Understanding Mandarin Sentences in Simulated Electric-Acoustic HearingFeng Wang, Jing Chen, Fei Chen. 611-615 [doi]
• A Comparative Study of Different EMG Features for Acoustics-to-EMG MappingManthan Sharma, Navaneetha Gaddam, Tejas Umesh, Aditya Murthy, Prasanta Kumar Ghosh. 616-620 [doi]
• Image-Based Assessment of Jaw Parameters and Jaw Kinematics for Articulatory Simulation: Preliminary ResultsAjish K. Abraham, V. Sivaramakrishnan, N. Swapna, N. Manohar. 621-625 [doi]
• An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued SpeechJianrong Wang, Nan Gu, Mei Yu, Xuewei Li, Qiang Fang, Li Liu. 626-630 [doi]
• Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive DisorderJudith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Amos A. Folarin, Josep Maria Haro, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins, RADAR-CNS Consortium. 631-635 [doi]
• An Automatic, Simple Ultrasound Biofeedback Parameter for Distinguishing Accurate and Misarticulated Rhotic SyllablesSarah R. Li, Colin T. Annand, Sarah Dugan, Sarah M. Schwab, Kathryn J. Eary, Michael Swearengen, Sarah Stack, Suzanne Boyce, Michael A. Riley, T. Douglas Mast. 636-640 [doi]
• Silent versus Modal Multi-Speaker Speech Recognition from Ultrasound and VideoManuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals. 641-645 [doi]
• RaSSpeR: Radar-Based Silent Speech RecognitionDavid Ferreira, Samuel S. Silva, Francisco Curado, António J. S. Teixeira. 646-650 [doi]
• Investigating Speech Reconstruction for Laryngectomees for Silent Speech InterfacesBeiming Cao, Nordine Sebkhi, Arpan Bhavsar, Omer T. Inan, Robin Samlan, Ted Mau, Jun Wang 0037. 651-655 [doi]
• LACOPE: Latency-Constrained Pitch Estimation for Speech EnhancementHendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas K. Maier. 656-660 [doi]
• Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and DereverberationMathieu Fontaine 0002, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii. 661-665 [doi]
• Microphone Array Generalization for Multichannel Narrowband Deep Speech EnhancementSiyuan Zhang, Xiaofei Li. 666-670 [doi]
• Multiple Sound Source Localization Based on Interchannel Phase Differences in All Frequencies with Spectral MasksHyungchan Song, Jong Won Shin. 671-675 [doi]
• Cancellation of Local Competing Speaker with Near-Field Localization for Distributed ad-hoc Sensor NetworkPablo Pérez Zarazaga, Mariem Bouafif Mansali, Tom Bäckström, Zied Lachiri. 676-680 [doi]
• A Deep Learning Method to Multi-Channel Active Noise ControlHao Zhang, DeLiang Wang. 681-685 [doi]
• Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid ProcessingSimone Graetzer, Jon Barker, Trevor J. Cox, Michael Akeroyd, John F. Culling, Graham Naylor, Eszter Porter, Rhoddy Viveros Muñoz. 686-690 [doi]
• Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss ModelZehai Tu, Ning Ma 0002, Jon Barker. 691-695 [doi]
• Explaining Deep Learning Models for Speech EnhancementSunit Sivasankaran, Emmanuel Vincent 0001, Dominique Fohr. 696-700 [doi]
• Minimum-Norm Differential Beamforming for Linear Array with Directional MicrophonesWeilong Huang, Jinwei Feng. 701-705 [doi]
• Improving Streaming Transformer Based ASR Under a Framework of Self-Supervised LearningSongjun Cao, Yueteng Kang, Yanzhe Fu, Xiaoshuo Xu, Sining Sun, Yike Zhang, Long Ma. 706-710 [doi]
• wav2vec-C: A Self-Supervised Model for Speech Representation LearningSamik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas. 711-715 [doi]
• On the Learning Dynamics of Semi-Supervised Training for ASRElectra Wallington, Benji Kershenbaum, Ondrej Klejch, Peter Bell 0001. 716-720 [doi]
• Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-TrainingWei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee 0001, Ronan Collobert, Gabriel Synnaeve, Michael Auli. 721-725 [doi]
• Momentum Pseudo-Labeling for Semi-Supervised Speech RecognitionYosuke Higuchi, Niko Moritz, Jonathan Le Roux, Takaaki Hori. 726-730 [doi]
• A Comparison of Supervised and Unsupervised Pre-Training of End-to-End ModelsAnanya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim. 731-735 [doi]
• Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based AugmentationZhehuai Chen, Andrew Rosenberg, Yu Zhang, Heiga Zen, Mohammadreza Ghodsi, Yinghui Huang, Jesse Emond, Gary Wang, Bhuvana Ramabhadran, Pedro J. Moreno. 736-740 [doi]
• slimIPL: Language-Model-Free Iterative Pseudo-LabelingTatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert. 741-745 [doi]
• Phonetically Motivated Self-Supervised Speech Representation LearningXianghu Yue, Haizhou Li 0001. 746-750 [doi]
• Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTSYan Deng, Rui Zhao, Zhong Meng, Xie Chen, Bing Liu, Jinyu Li, Yifan Gong 0001, Lei He. 751-755 [doi]
• Speaker-Conversation Factorial Designs for Diarization Error AnalysisScott Seyfarth, Sundararajan Srinivasan, Katrin Kirchhoff. 756-760 [doi]
• SmallER: Scaling Neural Entity Resolution for Edge DevicesRoss McGowan, Jinru Su, Vince DiCocco, Thejaswi Muniyappa, Grant P. Strimel. 761-765 [doi]
• Disfluency Detection with Unlabeled Data and Small BERT ModelsJohann C. Rocholl, Vicky Zayats, Daniel D. Walker, Noah B. Murad, Aaron Schneider, Daniel J. Liebling. 766-770 [doi]
• Discriminative Self-Training for Punctuation PredictionQian Chen 0003, Wen Wang, Mengzhe Chen, Qinglin Zhang. 771-775 [doi]
• Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks Using Switching TokensMana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura. 776-780 [doi]
• A Noise Robust Method for Word-Level Pronunciation AssessmentBinghuai Lin, Liyuan Wang. 781-785 [doi]
• Targeted Keyword Filtering for Accelerated Spoken Topic IdentificationJonathan Wintrode. 786-790 [doi]
• Multimodal Speech Summarization Through Semantic Concept LearningShruti Palaskar, Ruslan Salakhutdinov, Alan W. Black, Florian Metze. 791-795 [doi]
• Enhancing Semantic Understanding with Self-Supervised Methods for Abstractive Dialogue SummarizationHyunjae Lee, Jaewoong Yun, Hyunjin Choi, Seongho Joe, Youngjune L. Gwon. 796-800 [doi]
• Speaker Transition Patterns in Three-Party Conversation: Evidence from English, Estonian and SwedishMarcin Wlodarczak, Emer Gilmartin. 801-805 [doi]
• Investigating Deep Neural Structures and their Interpretability in the Domain of Voice ConversionSamuel J. Broughton, Md. Asif Jalal, Roger K. Moore. 806-810 [doi]
• Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence TrainingKun Zhou, Berrak Sisman, Haizhou Li. 811-815 [doi]
• Adversarial Voice Conversion Against Neural Spoofing DetectorsYi-Yang Ding, Li-juan Liu, Yu Hu, Zhen-Hua Ling. 816-820 [doi]
• An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationXiangheng He, Junjie Chen, Georgios Rizos, Björn W. Schuller. 821-825 [doi]
• TVQVC: Transformer Based Vector Quantized Variational Autoencoder with CTC Loss for Voice ConversionZiyi Chen, Pengyuan Zhang. 826-830 [doi]
• Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice ConversionZhichao Wang, Xinyong Zhou, Fengyu Yang, Tao Li, Hongqiang Du, Lei Xie, Wendong Gan, Haitao Chen, Hai Li. 831-835 [doi]
• S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained RepresentationsJheng-Hao Lin, Yist Y. Lin, Chung-Ming Chien, Hung-yi Lee. 836-840 [doi]
• An Exemplar Selection Algorithm for Native-Nonnative Voice ConversionChristopher Liberatore, Ricardo Gutierrez-Osuna. 841-845 [doi]
• Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice ConversionJie Wang, Jingbei Li, Xintao Zhao, Zhiyong Wu 0001, Shiyin Kang, Helen Meng. 846-850 [doi]
• Many-to-Many Voice Conversion Based Feature Disentanglement Using Variational AutoencoderManh Luong, Viet-Anh Tran. 851-855 [doi]
• Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party ComputationOubaïda Chouchane, Baptiste Brossier, Jorge Esteban Gamboa Gamboa, Thomas Lardy, Hemlata Tak, Orhan Ermis, Madhu R. Kamble, Jose Patino 0001, Nicholas Evans, Melek Önen, Massimiliano Todisco. 856-860 [doi]
• Configurable Privacy-Preserving Automatic Speech RecognitionRanya Aloufi, Hamed Haddadi, David Boyle. 861-865 [doi]
• Adjunct-Emeritus Distillation for Semi-Supervised Language Model AdaptationScott Novotney, Yile Gu, Ivan Bulyko. 866-870 [doi]
• Communication-Efficient Agnostic Federated AveragingJae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh. 871-875 [doi]
• Privacy-Preserving Feature Extraction for Cloud-Based Wake Word VerificationTimm Koppelmann, Alexandru Nelus, Lea Schönherr, Dorothea Kolossa, Rainer Martin 0001. 876-880 [doi]
• PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command ClassificationChao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee. 881-885 [doi]
• Continual Learning for Fake Audio DetectionHaoxin Ma, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Chenglong Wang. 886-890 [doi]
• Evaluating the Vulnerability of End-to-End Automatic Speech Recognition Models to Membership Inference AttacksMuhammad A. Shah, Joseph Szurley, Markus Müller, Athanasios Mouchtaris, Jasha Droppo. 891-895 [doi]
• SynthASR: Unlocking Synthetic Data for Speech RecognitionAmin Fazel, Wei Yang, Yulan Liu, Roberto Barra-Chicote, YiXiong Meng, Roland Maas, Jasha Droppo. 896-900 [doi]
• DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using AcousticsAnanya Muguli, Lancelot Pinto, Nirmala R., Neeraj Sharma, Prashant Krishnan V, Prasanta Kumar Ghosh, Rohit Kumar, Shrirama Bhat, Srikanth Raj Chetupalli, Sriram Ganapathy, Shreyas Ramoji, Viral Nanda. 901-905 [doi]
• PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 ChallengeMadhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli, Yiqing Huang, Alejandro Gomez-Alanis, Jose Patino 0001, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas Evans, Maria A. Zuluaga, Massimiliano Todisco. 906-910 [doi]
• Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio FeaturesVincent Karas, Björn W. Schuller. 911-915 [doi]
• Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector MachinesIsabella Södergren, Maryam Pahlavan Nodeh, Prakash Chandra Chhipa, Konstantina Nikolaidou, György Kovács. 916-920 [doi]
• Diagnosis of COVID-19 Using Auditory Acoustic CuesRohan Kumar Das, Maulik C. Madhavi, Haizhou Li 0001. 921-925 [doi]
• Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data AugmentationJohn B. Harvill, Yash R. Wani, Mark Hasegawa-Johnson, Narendra Ahuja, David Beiser, David Chestek. 926-930 [doi]
• The DiCOVA 2021 Challenge - An Encoder-Decoder Approach for COVID-19 Recognition from Coughing AudioGauri Deshpande, Björn W. Schuller. 931-935 [doi]
• COVID-19 Detection from Spectral Features on the DiCOVA DatasetKotra Venkata Sai Ritwik, Shareef Babu Kalluri, Deepu Vijayasenan. 936-940 [doi]
• Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender InformationAdria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller. 941-945 [doi]
• Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary DiagnosisSwapnil Bhosale, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu. 946-950 [doi]
• Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough SoundsFlávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh 0001. 951-955 [doi]
• Application for Detecting Depression, Parkinson's Disease and Dysphonic SpeechGábor Kiss, Dávid Sztahó, Miklós Gábriel Tulics. 956-957 [doi]
• Beey: More Than a Speech-to-Text EditorLenka Weingartová, Veronika Volna, Ewa Balejová. 958-959 [doi]
• Downsizing of Vocal-Tract Models to Line up Variations and Reduce Manufacturing CostsTakayuki Arai. 960-961 [doi]
• ROXANNE Research Platform: Automate Criminal InvestigationsMaël Fabien, Shantipriya Parida, Petr Motlícek, Dawei Zhu, Aravind Krishnan, Hoang H. Nguyen. 962-964 [doi]
• The LIUM Human Active Correction Platform for Speaker DiarizationAlexandre Flucha, Anthony Larcher, Ambuj Mehrish, Sylvain Meignier, Florian Plaut, Nicolas Poupon, Yevhenii Prokopalo, Adrien Puertolas, Meysam Shamsi, Marie Tahon. 965-966 [doi]
• On-Device Streaming Transformer-Based End-to-End Speech RecognitionYoo Rhee Oh, Kiyoung Park. 967-968 [doi]
• Advanced Semi-Blind Speaker Extraction and Tracking Implemented in Experimental Device with Revolving Dense Microphone ArrayJaroslav Cmejla, Tomás Kounovský, Jakub Janský, Jirí Málek, M. Rozkovec, Zbynek Koldovský. 969-970 [doi]
• Information Retrieval for ZeroSpeech 2021: The Submission by University of WroclawJan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski. 971-975 [doi]
• Aligned Contrastive Predictive CodingJan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski. 976-980 [doi]
• Neural Text Denormalization for Speech TranscriptsBenjamin Suter, Josef Novák. 981-985 [doi]
• Fearless Steps Challenge Phase-3 (FSC P3): Advancing SLT for Unseen Channel and Mission Data Across NASA Apollo AudioAditya Joglekar, Seyed Omid Sadjadi, Meena Chandra Shekar, Christopher Cieri, John H. L. Hansen. 986-990 [doi]
• Voice Quality in Verbal Irony: Electroglottographic Analyses of Ironic Utterances in Standard Austrian GermanHannah Leykum. 991-995 [doi]
• Synchronic Fortition in Five Romance Languages? A Large Corpus-Based Study of Word-Initial DevoicingMathilde Hutin, Yaru Wu, Adèle Jatteau, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker. 996-1000 [doi]
• Glottal Stops in Upper Sorbian: A Data-Driven ApproachIvan Kraljevski, Maria Paola Bissiri, Frank Duckhorn, Constanze Tschöpe, Matthias Wolff. 1001-1005 [doi]
• Cue Interaction in the Perception of Prosodic Prominence: The Role of Voice QualityBogdan Ludusan, Petra Wagner, Marcin Wlodarczak. 1006-1010 [doi]
• Glottal Sounds in KorebajuJenifer Vega Rodríguez, Nathalie Vallée. 1011-1014 [doi]
• Automatic Classification of Phonation Types in Spontaneous Speech: Towards a New Workflow for the Characterization of Speakers' Voice QualityAnaïs Chanclu, Imen Ben Amor, Cédric Gendrot, Emmanuel Ferragne, Jean-François Bonastre. 1015-1018 [doi]
• Measuring Voice Quality Parameters After Speaker PseudonymizationRob J. J. H. van Son. 1019-1023 [doi]
• Audio-Visual Recognition of Emotional Engagement of People with DementiaLars Steinert, Felix Putze, Dennis Küster, Tanja Schultz. 1024-1028 [doi]
• Speaking Corona? Human and Machine Recognition of COVID-19 from VoicePascal Hecker, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Uwe Reichel, Zhao Ren, Simone Hantke, Florian Eyben, Dagmar M. Schuller, Bert Arnrich, Björn W. Schuller. 1029-1033 [doi]
• Acoustic-Prosodic, Lexical and Demographic Cues to Persuasiveness in Competitive Debate SpeechesHuyen Nguyen, Ralph Vente, David Lupea, Sarah Ita Levitan, Julia Hirschberg. 1034-1038 [doi]
• Unsupervised Bayesian Adaptation of PLDA for Speaker VerificationBengt J. Borgström. 1039-1043 [doi]
• The DKU-Duke-Lenovo System Description for the Fearless Steps Challenge Phase IIIWeiqing Wang, Danwei Cai, Jin Wang, Qingjian Lin, Xuyang Wang, Mi Hong, Ming Li. 1044-1048 [doi]
• Improved Meta-Learning Training for Speaker VerificationYafeng Chen, Wu Guo, Bin Gu. 1049-1053 [doi]
• Variational Information Bottleneck Based Regularization for Speaker RecognitionDan Wang, Yuanjie Dong, Yaxing Li, Yunfei Zi, Zhihui Zhang, Xiaoqi Li 0011, Shengwu Xiong. 1054-1058 [doi]
• Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make?Niko Brümmer, Luciana Ferrer, Albert Swart. 1059-1063 [doi]
• SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification SystemRoza Chojnacka, Jason Pelecanos, Quan Wang, Ignacio Lopez-Moreno. 1064-1068 [doi]
• AntVoice Neural Speaker Embedding System for FFSVC 2020Zhiming Wang, Furong Xu, Kaisheng Yao, Yuan Cheng, Tao Xiong, Huijia Zhu. 1069-1073 [doi]
• Gradient Regularization for Noise-Robust Speaker VerificationJianchen Li, Jiqing Han, Hongwei Song. 1074-1078 [doi]
• Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker VerificationSaurabh Kataria, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. 1079-1083 [doi]
• Scaling Effect of Self-Supervised Speech ModelsJie Pu, Yuguang Yang 0004, Ruirui Li, Oguz Elibol, Jasha Droppo. 1084-1088 [doi]
• Joint Feature Enhancement and Speaker Recognition with Multi-Objective Task-Oriented NetworkYibo Wu, Longbiao Wang, Kong-Aik Lee, Meng Liu, Jianwu Dang. 1089-1093 [doi]
• Multi-Level Transfer Learning from Near-Field to Far-Field Speaker VerificationLi Zhang, Qing Wang, Kong-Aik Lee, Lei Xie, Haizhou Li 0001. 1094-1098 [doi]
• Speaker Anonymisation Using the McAdams CoefficientJose Patino 0001, Natalia A. Tomashenko, Massimiliano Todisco, Andreas Nautsch, Nicholas Evans. 1099-1103 [doi]
• Multi-Stream Gated and Pyramidal Temporal Convolutional Neural Networks for Audio-Visual Speech Separation in Multi-Talker EnvironmentsYiyu Luo, Jing Wang, Liang Xu, Lidong Yang. 1104-1108 [doi]
• TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech DereverberationHelin Wang, Bo Wu, LianWu Chen, Meng Yu 0003, Jianwei Yu, Yong Xu, Shi-Xiong Zhang, Chao Weng, Dan Su, Dong Yu. 1109-1113 [doi]
• Residual Echo and Noise Cancellation with Feature Attention Module and Multi-Domain Loss FunctionJianjun Gu, Longbiao Cheng, Xingwei Sun, Junfeng Li, Yonghong Yan 0002. 1114-1118 [doi]
• MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech SeparationXiyun Li, Yong Xu, Meng Yu 0003, Shi-Xiong Zhang, Jiaming Xu 0001, Bo Xu 0002, Dong Yu 0001. 1119-1123 [doi]
• Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and EnhancementRitwik Giri, Shrikant Venkataramani, Jean-Marc Valin, Umut Isik, Arvindh Krishnaswamy. 1124-1128 [doi]
• Scene-Agnostic Multi-Microphone Speech DereverberationYochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot. 1129-1133 [doi]
• Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular SimplexKeitaro Tanaka, Ryosuke Sawata, Shusuke Takahashi. 1134-1138 [doi]
• A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo CancellationHao Zhang, DeLiang Wang. 1139-1143 [doi]
• Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source SeparationYueyue Na, Ziteng Wang, Zhang Liu, Biao Tian, Qiang Fu. 1144-1148 [doi]
• Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech RecognitionHiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Takafumi Moriya, Naoyuki Kamo. 1149-1153 [doi]
• Estimating Articulatory Movements in Speech Production with Transformer NetworksSathvik Udupa, Anwesha Roy, Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh. 1154-1158 [doi]
• Unsupervised Multi-Target Domain Adaptation for Acoustic Scene ClassificationDongchao Yang, Helin Wang, Yuexian Zou. 1159-1163 [doi]
• Speech Decomposition Based on a Hybrid Speech Model and Optimal SegmentationAlfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen. 1164-1168 [doi]
• Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech RepresentationJian Luo, Jianzong Wang, Ning Cheng, Jing Xiao. 1169-1173 [doi]
• Noise Robust Pitch Stylization Using Minimum Mean Absolute Error CriterionChiranjeevi Yarra, Prasanta Kumar Ghosh. 1174-1178 [doi]
• An Attribute-Aligned Strategy for Learning Speech RepresentationYu-Lin Huang, Bo-Hao Su, Y.-W. Peter Hong, Chi-Chun Lee. 1179-1183 [doi]
• Raw Speech-to-Articulatory Inversion by Temporal Filtering and DecimationAbdolreza Sabzi Shahrebabaki, Sabato Marco Siniscalchi, Torbjørn Svendsen. 1184-1188 [doi]
• Unsupervised Training of a DNN-Based Formant TrackerJason Lilley, H. Timothy Bunnell. 1189-1193 [doi]
• SUPERB: Speech Processing Universal PERformance BenchmarkShu-Wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Jeff Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Guan-Ting Lin, Tzu-hsien Huang, Wei-Cheng Tseng, Ko-tik Lee, Da-Rong Liu, Zili Huang, Shuyan Dong, Shang-wen Li 0001, Shinji Watanabe 0001, Abdelrahman Mohamed, Hung-yi Lee. 1194-1198 [doi]
• Synchronising Speech Segments with Musical Beats in Mandarin and English SingingCong Zhang, Jian Zhu. 1199-1203 [doi]
• FRILL: A Non-Semantic Speech Embedding for Mobile DevicesJacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel. 1204-1208 [doi]
• Pitch Contour Separation from Overlapping SpeechHiroki Mori. 1209-1213 [doi]
• Do Sound Event Representations Generalize to Other Audio Tasks? A Case Study in Audio Transfer LearningAnurag Kumar 0003, Yun Wang, Vamsi Krishna Ithapu, Christian Fuegen. 1214-1218 [doi]
• Data Augmentation for Spoken Language Understanding via Pretrained Language ModelsBaolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao. 1219-1223 [doi]
• FANS: Fusing ASR and NLU for On-Device SLUMartin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann, Ariya Rastrow. 1224-1228 [doi]
• Sequential End-to-End Intent and Slot Label Classification and LocalizationYiran Cao, Nihal Potdar, Anderson R. Avila. 1229-1233 [doi]
• DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual AssistantsDeepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason D. Williams, Alex Acero. 1234-1238 [doi]
• A Context-Aware Hierarchical BERT Fusion Network for Multi-Turn Dialog Act DetectionTing-Wei Wu, Ruolin Su, Biing-Hwang Juang. 1239-1243 [doi]
• Pre-Training for Spoken Language Understanding with Joint Textual and Phonetic Representation LearningQian Chen 0003, Wen Wang, Qinglin Zhang. 1244-1248 [doi]
• Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding ModelsQuynh Do, Judith Gaspers, Daniil Sorokin, Patrick Lehnen. 1249-1253 [doi]
• Integrating Dialog History into End-to-End Spoken Language Understanding SystemsJatin Ganhotra, Samuel Thomas 0001, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury. 1254-1258 [doi]
• Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State TrackingTing Han, Chongxuan Huang, Wei Peng. 1259-1263 [doi]
• Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language UnderstandingSiddhant Arora, Alissa Ostapenko, Vijay Viswanathan 0002, Siddharth Dalmia, Florian Metze, Shinji Watanabe 0001, Alan W. Black. 1264-1268 [doi]
• Semantic Data Augmentation for End-to-End Mandarin Speech RecognitionJianwei Sun, Zhiyuan Tang, Hengxin Yin, Wei Wang, Xi Zhao, Shuaijiang Zhao, Xiaoning Lei, Wei Zou, Xiangang Li. 1269-1273 [doi]
• Layer-Wise Fast Adaptation for End-to-End Multi-Accent Speech RecognitionXun Gong, Yizhou Lu, Zhikai Zhou, Yanmin Qian. 1274-1278 [doi]
• Low Resource German ASR with Untranscribed Data Spoken by Non-Native Children - INTERSPEECH 2021 Shared Task SPAPL SystemJinhan Wang, Yunzheng Zhu, Ruchao Fan, Wei Chu, Abeer Alwan. 1279-1283 [doi]
• Robust Continuous On-Device Personalization for Automatic Speech RecognitionKhe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays. 1284-1288 [doi]
• Speaker Normalization Using Joint Variational AutoencoderShashi Kumar, Shakti P. Rath, Abhishek Pandey. 1289-1293 [doi]
• The TAL System for the INTERSPEECH2021 Shared Task on Automatic Speech Recognition for Non-Native Childrens SpeechGaopeng Xu, Song Yang, Lu Ma, Chengfei Li, Zhongqin Wu. 1294-1298 [doi]
• On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASRTsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni, Stefan Riezler. 1299-1303 [doi]
• Zero-Shot Cross-Lingual Phonetic Recognition with External Language EmbeddingHeting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson. 1304-1308 [doi]
• Rapid Speaker Adaptation for Conformer Transducer: Attention and Bias Are All You NeedYan Huang 0028, Guoli Ye, Jinyu Li 0001, Yifan Gong 0001. 1309-1313 [doi]
• Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer LearningNilaksh Das, Sravan Bodapati, Monica Sunkara, Sundararajan Srinivasan, Duen Horng Chau. 1314-1318 [doi]
• Extending Pronunciation Dictionary with Automatically Detected Word Mispronunciations to Improve PAII's System for Interspeech 2021 Non-Native Child English Close Track ASR ChallengeWei Chu, Peng Chang 0002, Jing Xiao 0006. 1319-1323 [doi]
• CVC: Contrastive Learning for Non-Parallel Voice ConversionTingle Li, Yichen Liu, Chenxu Hu, Hang Zhao. 1324-1328 [doi]
• A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice ConversionWen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Ching-Feng Liu, Yu Tsao, Hsin-Min Wang, Tomoki Toda. 1329-1333 [doi]
• One-Shot Voice Conversion with Speaker-Agnostic StarGANSefik Emre Eskimez, Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr. 1334-1338 [doi]
• Fine-Tuning Pre-Trained Voice Conversion Model for Adding New Target Speakers with Limited DataTakeshi Koshizuka, Hidefumi Ohmura, Kouichi Katsurada. 1339-1343 [doi]
• VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-Shot Voice ConversionDisong Wang, Liqun Deng, Yu Ting Yeung, Xiao Chen, Xunying Liu, Helen Meng. 1344-1348 [doi]
• StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice ConversionYinghao Aaron Li, Ali Zare, Nima Mesgarani. 1349-1353 [doi]
• Normalization Driven Zero-Shot Multi-Speaker Speech SynthesisNeeraj Kumar 0010, Srishti Goel, Ankur Narang, Brejesh Lall. 1354-1358 [doi]
• StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech RecognitionShoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi, Hirokazu Kameoka. 1359-1363 [doi]
• Two-Pathway Style Embedding for Arbitrary Voice ConversionXuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock. 1364-1368 [doi]
• Non-Parallel Any-to-Many Voice Conversion by Replacing Speaker StatisticsYufei Liu, Chengzhu Yu, Wang Shuai, Zhenchuan Yang, Yang Chao, Weibin Zhang. 1369-1373 [doi]
• Cross-Lingual Voice Conversion with a Cycle Consistency Loss on Linguistic RepresentationYi Zhou, Xiaohai Tian, Zhizheng Wu, Haizhou Li 0001. 1374-1378 [doi]
• Improving Robustness of One-Shot Voice Conversion with Deep Discriminative Speaker EncoderHongqiang Du, Lei Xie. 1379-1383 [doi]
• Optimizing an Automatic Creaky Voice Detection Method for Australian English Speaking FemalesHannah White, Joshua Penney, Andy Gibson, Anita Szakay, Felicity Cox. 1384-1388 [doi]
• A Comparison of Acoustic Correlates of Voice Quality Across Different Recording Devices: A Cautionary TaleJoshua Penney, Andy Gibson, Felicity Cox, Michael I. Proctor, Anita Szakay. 1389-1393 [doi]
• Investigating Voice Function Characteristics of Greek Speakers with Hearing Loss Using Automatic Glottal Source Feature ExtractionAnna Sfakianaki, George P. Kafentzis. 1394-1398 [doi]
• Automated Detection of Voice Disorder in the Saarbrücken Voice Database: Effects of Pathology Subset and Audio MaterialsMark A. Huckvale, Catinca Buciuleac. 1399-1403 [doi]
• Accelerometer-Based Measurements of Voice Quality in Children During Semi-Occluded Vocal Tract Exercise with a Narrow Straw in AirSteven M. Lulich, Rita R. Patel. 1404-1408 [doi]
• Articulatory Coordination for Speech Motor Tracking in Huntington DiseaseMatthew Perez, Amrit Romana, Angela Roberts, Noelle Carlozzi, Jennifer Ann Miner, Praveen Dayalu, Emily Mower Provost. 1409-1413 [doi]
• Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS ScaleCarlos A. Ferrer, Efren Aragón, María E. Hdez-Díaz, Marc S. De Bodt, Roman Cmejla, Marina Englert, Mara Behlau, Elmar Nöth. 1414-1418 [doi]
• Golos: Russian Dataset for Speech ResearchNikolay Karpov, Alexander Denisenko, Fedor Minkin. 1419-1423 [doi]
• Radically Old Way of Computing Spectra: Applications in End-to-End ASRSamik Sadhu, Hynek Hermansky. 1424-1428 [doi]
• Self-Supervised End-to-End ASR for Low Resource L2 SwedishRagheb Al-Ghezi, Yaroslav Getman, Aku Rouhe, Raili Hildén, Mikko Kurimo. 1429-1433 [doi]
• SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech RecognitionPatrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe 0001, Georg Kucsko. 1434-1438 [doi]
• LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechSolène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier. 1439-1443 [doi]
• Prosodic Accommodation in Face-to-Face and Telephone DialoguesPavel Sturm, Radek Skarnitzl, Tomás Nechanský. 1444-1448 [doi]
• Dialect Features in Heterogeneous and Homogeneous Gheg Speaking CommunitiesJosiane Riverin-Coutlée, Conceição Cunha, Enkeleida Kapia, Jonathan Harrington. 1449-1453 [doi]
• An Exploration of the Acoustic Space of Rhotics and Laterals in RuruuliMargaret Zellers, Alena Witzlack-Makarevich, Lilja Saeboe, Saudah Namyalo. 1454-1458 [doi]
• Domain-Initial Strengthening in Turkish: Acoustic Cues to Prosodic Hierarchy in Stop ConsonantsKubra Bodur, Sweeney Branje, Morgane Peirolo, Ingrid Tiscareno, James Sneed German. 1459-1463 [doi]
• Auxiliary Loss Function for Target Speech Extraction and Recognition with Weak Supervision Based on Speaker CharacteristicsKaterina Zmolíková, Marc Delcroix, Desh Raj, Shinji Watanabe 0001, Jan Cernocký. 1464-1468 [doi]
• Universal Speaker Extraction in the Presence and Absence of Target Speakers for Speech of One and Two TalkersMarvin Borsdorf, Chenglin Xu, Haizhou Li 0001, Tanja Schultz. 1469-1473 [doi]
• Using X-Vectors for Speech Activity Detection in Broadcast StreamsLukás Mateju, Frantisek Kynych, Petr Cerva, Jindrich Zdánský, Jirí Málek. 1474-1478 [doi]
• Time Delay Estimation for Speaker Localization Using CNN-Based Parametrized GCC-PHAT FeaturesDaniele Salvati, Carlo Drioli, Gian Luca Foresti. 1479-1483 [doi]
• Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural NetworkMidia Yousefi, John H. L. Hansen. 1484-1488 [doi]
• End-to-End Language Diarization for Bilingual Code-Switching SpeechHexin Liu, Leibny Paola García-Perera, Xinyi Zhang, Justin Dauwels, Andy W. H. Khong, Sanjeev Khudanpur, Suzy J. Styles. 1489-1493 [doi]
• Modeling and Training Strategies for Language Recognition SystemsRaphaël Duroselle, Md. Sahidullah, Denis Jouvet, Irina Illina. 1494-1498 [doi]
• A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language IdentificationHui Wang, Lin Liu, Yan Song, Lei Fang, Ian McLoughlin 0001, Li-Rong Dai 0001. 1499-1503 [doi]
• Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised LearningKeqi Deng, Songjun Cao, Long Ma. 1504-1508 [doi]
• Exploring wav2vec 2.0 on Speaker Verification and Language IdentificationZhiyun Fan, Meng Li, Shiyu Zhou, Bo Xu. 1509-1513 [doi]
• Self-Supervised Phonotactic Representations for Language IdentificationG. Ramesh, C. Shiva Kumar, K. Sri Rama Murty. 1514-1518 [doi]
• E2E-Based Multi-Task Learning Approach to Joint Speech and Accent RecognitionJicheng Zhang, Yizhou Peng, Van Tung Pham, Haihua Xu, Hao Huang, Eng Siong Chng. 1519-1523 [doi]
• Excitation Source Feature Based Dialect Identification in Ao - A Low Resource LanguageMoakala Tzudir, Shikha Baghel, Priyankoo Sarmah, S. R. Mahadeva Prasanna. 1524-1528 [doi]
• Low Resource ASR: The Surprising Effectiveness of High Resource TransliterationShreya Khare, Ashish R. Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj. 1529-1533 [doi]
• Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature RepresentationSiyuan Feng, Piotr Zelasko, Laureano Moro-Velázquez, Odette Scharenborg. 1534-1538 [doi]
• Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural NetworksHerman Kamper, Benjamin van Niekerk. 1539-1543 [doi]
• Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation LearningDongwei Jiang, Wubo Li, Miao Cao, Wei Zou, Xiangang Li. 1544-1548 [doi]
• Multilingual Transfer of Acoustic Word Embeddings Improves When Training on Languages Related to the Target Zero-Resource LanguageChristiaan Jacobs, Herman Kamper. 1549-1553 [doi]
• Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech ProcessingBenjamin van Niekerk, Leanne Nortje, Matthew Baas, Herman Kamper. 1554-1558 [doi]
• Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource LanguagesShun Takahashi, Sakriani Sakti, Satoshi Nakamura. 1559-1563 [doi]
• Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021Takashi Maekaku, Xuankai Chang, Yuya Fujita, Li-Wei Chen, Shinji Watanabe, Alexander I. Rudnicky. 1564-1568 [doi]
• Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual FeaturesXia Cui, Amila Gamage, Terry Hanley, Tingting Mu. 1569-1573 [doi]
• The Zero Resource Speech Challenge 2021: Spoken Language ModellingEwan Dunbar, Mathieu Bernard, Nicolas Hamilakis, Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Eugene Kharitonov, Emmanuel Dupoux. 1574-1578 [doi]
• Zero-Shot Federated Learning with New Classes for Audio ClassificationGautham Krishna Gudur, Satheesh Kumar Perepu. 1579-1583 [doi]
• AVLnet: Learning Audio-Visual Language Representations from Instructional VideosAndrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas 0001, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba 0001, James R. Glass. 1584-1588 [doi]
• N-Singer: A Non-Autoregressive Korean Singing Voice Synthesis System for Pronunciation EnhancementGyeong-Hoon Lee, Tae-Woo Kim, Hanbin Bae, Min-Ji Lee, Young Ik Kim, Hoon-Young Cho. 1589-1593 [doi]
• Cross-Lingual Low Resource Speaker Adaptation Using Phonological FeaturesGeorgia Maniati, Nikolaos Ellinas, Konstantinos Markopoulos, Georgios Vamvoukakis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis. 1594-1598 [doi]
• Improve Cross-Lingual Text-To-Speech Synthesis on Monolingual Corpora with Pitch Contour InformationHaoyue Zhan, Haitong Zhang, Wenjie Ou, Yue Lin. 1599-1603 [doi]
• Cross-Lingual Voice Conversion with Disentangled Universal Linguistic RepresentationsZhenchuan Yang, Weibin Zhang, Yufei Liu, Xiaofen Xing. 1604-1608 [doi]
• EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN VocoderZhengchen Liu, Chenfeng Miao, Qingying Zhu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao. 1609-1613 [doi]
• Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech SynthesisDetai Xin, Yuki Saito, Shinnosuke Takamichi, Tomoki Koriyama, Hiroshi Saruwatari. 1614-1618 [doi]
• Incorporating Cross-Speaker Style Transfer for Multi-Language Text-to-SpeechZengqiang Shang, Zhihua Huang, Haozhe Zhang, Pengyuan Zhang, Yonghong Yan 0002. 1619-1623 [doi]
• Investigating Contributions of Speech and Facial Landmarks for Talking Head GenerationEge Kesim, Engin Erzin. 1624-1628 [doi]
• Speech2Video: Cross-Modal Distillation for Speech to Video GenerationShijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao. 1629-1633 [doi]
• NU-Wave: A Diffusion Probabilistic Model for Neural Audio UpsamplingJunhyeok Lee, Seungu Han. 1634-1638 [doi]
• QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm MinimizationGang-Xuan Lin, Shih-Wei Hu, Yen-Ju Lu, Yu Tsao 0001, Chun-Shien Lu. 1639-1643 [doi]
• X-net: A Joint Scale Down and Scale Up Method for Voice CallLiang Wen, Lizhong Wang, Xue Wen, Yuxing Zheng, Youngo Park, Kwang-Pyo Choi. 1644-1648 [doi]
• WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-ResolutionKexun Zhang, Yi Ren 0006, Changliang Xu, Zhou Zhao. 1649-1653 [doi]
• Half-Truth: A Partially Fake Audio Detection DatasetJiangyan Yi, Ye Bai, Jianhua Tao, Haoxin Ma, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu. 1654-1658 [doi]
• Data Quality as Predictor of Voice Anti-Spoofing GeneralizationBhusan Chettri, Rosa González Hautamäki, Md. Sahidullah, Tomi Kinnunen. 1659-1663 [doi]
• Coded Speech Enhancement Using Neural Network-Based Vector-Quantized Residual FeaturesYoungju Cheon, Soojoong Hwang, Sangwook Han, Inseon Jang, Jong Won Shin. 1664-1668 [doi]
• Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate BudgetLukas Drude, Jahn Heymann, Andreas Schwarz, Jean-Marc Valin. 1669-1673 [doi]
• Effects of Prosodic Variations on Accidental Triggers of a Commercial Voice AssistantIngo Siegert. 1674-1678 [doi]
• Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing FlowsAdam Gabrys, Yunlong Jiao, Viacheslav Klimkov, Daniel Korzekwa, Roberto Barra-Chicote. 1679-1683 [doi]
• Voice Privacy Through x-Vector and CycleGAN-Based AnonymizationGauri P. Prajapati, Dipesh K. Singh, Preet P. Amin, Hemant A. Patil. 1684-1688 [doi]
• A Two-Stage Approach to Speech Bandwidth ExtensionJu Lin, Yun Wang, Kaustubh Kalgaonkar, Gil Keren, Didi Zhang, Christian Fuegen. 1689-1693 [doi]
• Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech CoderJoon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack. 1694-1698 [doi]
• Protecting Gender and Identity with Disentangled Speech RepresentationsDimitrios Stoidis, Andrea Cavallaro. 1699-1703 [doi]
• Perception of Standard Arabic Synthetic Speech RateYahya Aldholmi, Rawan Aldhafyan, Asma Alqahtani. 1704-1707 [doi]
• The Influence of Parallel Processing on Illusory VowelsTakeshi Kishiyama. 1708-1712 [doi]
• Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension ErrorsAnupama Chingacham, Vera Demberg, Dietrich Klakow. 1713-1717 [doi]
• SpeechAdjuster: A Tool for Investigating Listener Preferences and Speech IntelligibilityOlympia Simantiraki, Martin Cooke. 1718-1722 [doi]
• VocalTurk: Exploring Feasibility of Crowdsourced Speaker IdentificationSusumu Saito, Yuta Ide, Teppei Nakano, Tetsuji Ogawa. 1723-1727 [doi]
• Effects of Aging and Age-Related Hearing Loss on Talker DiscriminationMin Xu, Jing Shao, Lan Wang. 1728-1732 [doi]
• Relationships Between Perceptual Distinctiveness, Articulatory Complexity and Functional Load in Speech CommunicationYuqing Zhang, Zhu Li, Bin Wu, Yanlu Xie, Binghuai Lin, Jinsong Zhang. 1733-1737 [doi]
• Human Spoofing Detection Performance on Degraded SpeechCamryn Terblanche, Philip Harrison, Amelia Jane Gully. 1738-1742 [doi]
• Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic ResearchMarieke Einfeldt, Rita Sevastjanova, Katharina Zahner-Ritter, Ekaterina Kazak, Bettina Braun. 1743-1747 [doi]
• Towards the Explainability of Multimodal Speech Emotion RecognitionPuneet Kumar 0003, Vishesh Kaushik, Balasubramanian Raman. 1748-1752 [doi]
• Primacy of Mouth over Eyes: Eye Movement Evidence from Audiovisual Mandarin Lexical Tones and VowelsBiao Zeng, Rui Wang, Guoxing Yu, Christian Dobel. 1753-1756 [doi]
• Investigating the Impact of Spectral and Temporal Degradation on End-to-End Automatic Speech Recognition PerformanceTakanori Ashihara, Takafumi Moriya, Makio Kashino. 1757-1761 [doi]
• Super-Human Performance in Online Low-Latency Recognition of Conversational SpeechThai Son Nguyen, Sebastian Stüker, Alex Waibel. 1762-1766 [doi]
• Multiple Softmax Architecture for Streaming Multilingual End-to-End ASR SystemsVikas Joshi, Amit Das, Eric Sun, Rupesh R. Mehta, Jinyu Li 0001, Yifan Gong 0001. 1767-1771 [doi]
• Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow FusionDuc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer. 1772-1776 [doi]
• An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word ModelingTara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Ruoming Pang, David Rybach, Cyril Allauzen, Ehsan Variani, James Qin, Quoc-Nam Le-The, Shuo-Yiin Chang, Bo Li 0028, Anmol Gulati, Jiahui Yu, Chung-Cheng Chiu, Diamantino Caseiro, Wei Li, Qiao Liang, Pat Rondon. 1777-1781 [doi]
• Streaming Multi-Talker Speech Recognition with Joint Speaker IdentificationLiang Lu 0001, Naoyuki Kanda, Jinyu Li 0001, Yifan Gong 0001. 1782-1786 [doi]
• Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention ArchitectureTakafumi Moriya, Tomohiro Tanaka, Takanori Ashihara, Tsubasa Ochiai, Hiroshi Sato, Atsushi Ando, Ryo Masumura, Marc Delcroix, Taichi Asami. 1787-1791 [doi]
• Improving RNN-T ASR Accuracy Using Context AudioAndreas Schwarz, Ilya Sklyar, Simon Wiesler. 1792-1796 [doi]
• HMM-Free Encoder Pre-Training for Streaming RNN TransducerLu Huang, Jingyu Sun, Yufeng Tang, Junfeng Hou, Jinkun Chen, Jun Zhang, Zejun Ma. 1797-1801 [doi]
• Reducing Exposure Bias in Training Recurrent Neural Network TransducersXiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske. 1802-1806 [doi]
• Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T ModelsThibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao. 1807-1811 [doi]
• Mixture Model Attention: Flexible Streaming and Non-Streaming Automatic Speech RecognitionKartik Audhkhasi, Tongzhou Chen, Bhuvana Ramabhadran, Pedro J. Moreno. 1812-1816 [doi]
• StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASRHirofumi Inaguma, Tatsuya Kawahara. 1817-1821 [doi]
• Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech RecognitionNiko Moritz, Takaaki Hori, Jonathan Le Roux. 1822-1826 [doi]
• Multi-Mode Transformer Transducer with Stochastic Future ContextKwangyoun Kim, Felix Wu, Prashant Sridhar, Kyu J. Han, Shinji Watanabe. 1827-1831 [doi]
• A Causal U-Net Based Neural Beamforming Network for Real-Time Multi-Channel Speech EnhancementXinlei Ren, Xu Zhang, LianWu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu. 1832-1836 [doi]
• A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo CancellationRui Zhu, Feiran Yang, Yuepeng Li, Shidong Shang. 1837-1841 [doi]
• Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source ModelTaihui Wang, Feiran Yang, Rui Zhu, Jun Yang. 1842-1846 [doi]
• Improving Channel Decorrelation for Multi-Channel Target Speech ExtractionJiangyu Han, Wei Rao, Yannan Wang, Yanhua Long. 1847-1851 [doi]
• Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech EnhancementJinjiang Liu, Xueliang Zhang. 1852-1856 [doi]
• SRIB-LEAP Submission to Far-Field Multi-Channel Speech Enhancement Challenge for Video ConferencingR. G. Prithvi Raj, Rohit Kumar, M. K. Jayesh, Anurenjan Purushothaman, Sriram Ganapathy, M. A. Basha Shaik. 1857-1861 [doi]
• Real-Time Multi-Channel Speech Enhancement Based on Neural Network Masking with Attention ModelCheng Xue, Weilong Huang, Weiguang Chen, Jinwei Feng. 1862-1866 [doi]
• BERT-Based Semantic Model for Rescoring N-Best Speech Recognition ListDominique Fohr, Irina Illina. 1867-1871 [doi]
• Text Augmentation for Language Models in High Error Recognition ScenarioKarel Benes, Lukás Burget. 1872-1876 [doi]
• On Sampling-Based Training Criteria for Neural Language ModelingYingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney. 1877-1881 [doi]
• Fast Text-Only Domain Adaptation of RNN-Transducer Prediction NetworkJanne Pylkkönen, Antti Ukkonen, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo. 1882-1886 [doi]
• Using Games to Augment Corpora for Language Recognition and ConfusabilityChristopher Cieri, James Fiumara, Jonathan Wright. 1887-1891 [doi]
• Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker RecognitionGianni Fenu, Mirko Marras, Giacomo Medda, Giacomo Meloni. 1892-1896 [doi]
• Knowledge Distillation from Multi-Modality to Single-Modality for Person VerificationLeying Zhang, Zhengyang Chen, Yanmin Qian. 1897-1901 [doi]
• Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationPaul-Gauthier Noé, Mohammad MohammadAmini, Driss Matrouf, Titouan Parcollet, Andreas Nautsch, Jean-François Bonastre. 1902-1906 [doi]
• Automatically Detecting Errors and Disfluencies in Read Speech to Predict Cognitive Impairment in People with Parkinson's DiseaseAmrit Romana, John Bandon, Matthew Perez, Stephanie Gutierrez, Richard Richter, Angela Roberts, Emily Mower Provost. 1907-1911 [doi]
• Automatic Extraction of Speech Rhythm Descriptors for Speech Intelligibility Assessment in the Context of Head and Neck CancersRobin Vaysse, Jérôme Farinas, Corine Astésano, Régine André-Obrecht. 1912-1916 [doi]
• Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-EncodersJinzi Qi, Hugo Van Hamme. 1917-1921 [doi]
• The Impact of Forced-Alignment Errors on Automatic Pronunciation EvaluationVikram C. Mathad, Tristan J. Mahr, Nancy Scherer, Kathy Chapman, Katherine C. Hustad, Julie Liss, Visar Berisha. 1922-1926 [doi]
• Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia RecognitionEsaú Villatoro-Tello, S. Pavankumar Dubagunta, Julian Fritsch, Gabriela Ramírez-de-la-Rosa, Petr Motlícek, Mathew Magimai-Doss. 1927-1931 [doi]
• Neural Speaker Embeddings for Ultrasound-Based Silent Speech InterfacesAmin Honarmandi Shandiz, László Tóth 0001, Gábor Gosztolya, Alexandra Markó, Tamás Gábor Csapó. 1932-1936 [doi]
• Cross-Modal Learning for Audio-Visual Video ParsingJatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan. 1937-1941 [doi]
• A Psychology-Driven Computational Analysis of Political InterviewsDarren Cook, Miri Zilka, Simon Maskell, Laurence Alison. 1942-1946 [doi]
• Speech Emotion Recognition Based on Attention Weight Correction Using Word-Level Confidence MeasureJennifer Santoso, Takeshi Yamada, Shoji Makino, Kenkichi Ishizuka, Takekatsu Hiramura. 1947-1951 [doi]
• Effects of Voice Type and Task on L2 Learners' Awareness of Pronunciation ErrorsAlif Silpachai, Ivana Rehman, Taylor Anne Barriuso, John Levis, Evgeny Chukharev-Hudilainen, Guanlong Zhao, Ricardo Gutierrez-Osuna. 1952-1956 [doi]
• Lexical Entrainment and Intra-Speaker Variability in Cooperative DialoguesAlla Menshikova, Daniil Kocharov, Tatiana Kachkovskaia. 1957-1961 [doi]
• Detecting Alzheimer's Disease Using Interactional and Acoustic Features from Spontaneous SpeechShamila Nasreen, Julian Hough, Matthew Purver. 1962-1966 [doi]
• Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue AgentHardik Kothare, Vikram Ramanarayanan, Oliver Roesler, Michael Neumann, Jackson Liscombe, William Burke, Andrew Cornish, Doug Habberstad, Alaa Sakallah, Sara Markuson, Seemran Kansara, Afik Faerman, Yasmine Bensidi-Slimane, Laura Fry, Saige Portera, David Suendermann-Oeft, David Pautler, Carly Demopoulos. 1967-1971 [doi]
• Analysis of Eye Gaze Reasons and Gaze Aversions During Three-Party ConversationsCarlos Toshinori Ishi, Taiken Shintani. 1972-1976 [doi]
• Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language UnderstandingSuyoun Kim, Abhinav Arora, Duc Le, Ching-feng Yeh, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer. 1977-1981 [doi]
• A Light-Weight Contextual Spelling Correction Model for Customizing Transducer-Based Speech Recognition SystemsXiaoqiang Wang, Yanqing Liu, Sheng Zhao, Jinyu Li 0001. 1982-1986 [doi]
• Incorporating External POS Tagger for Punctuation RestorationNing Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin. 1987-1991 [doi]
• Phonetically Induced Subwords for End-to-End Speech RecognitionVasileios Papadourakis, Markus Müller, Jing Liu, Athanasios Mouchtaris, Maurizio Omologo. 1992-1996 [doi]
• Revisiting Parity of Human vs. Machine Conversational Speech TranscriptionCourtney Mansfield, Sara Ng, Gina-Anne Levow, Richard A. Wright, Mari Ostendorf. 1997-2001 [doi]
• Lookup-Table Recurrent Language Models for Long Tail Speech RecognitionW. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman. 2002-2006 [doi]
• Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR SystemsJesús Andrés-Ferrer, Dario Albesano, Puming Zhan, Paul Vozila. 2007-2011 [doi]
• Token-Level Supervised Contrastive Learning for Punctuation RestorationQiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu 0018. 2012-2016 [doi]
• BART Based Semantic Correction for Mandarin Automatic Speech Recognition SystemYun Zhao, Xuerui Yang, Jinchao Wang, Yongyu Gao, Chao Yan, Yuanfu Zhou. 2017-2021 [doi]
• Class-Based Neural Network Language Model for Second-Pass Rescoring in ASRLingfeng Dai, Qi Liu, Kai Yu. 2022-2026 [doi]
• Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized AudioGakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske. 2027-2031 [doi]
• A Discriminative Entity-Aware Language Model for Virtual AssistantsMandana Saebi, Ernest Pusateri, Aaksha Meghawat, Christophe Van Gysel. 2032-2036 [doi]
• Correcting Automated and Manual Speech Transcription Errors Using Warped Language ModelsMahdi Namazifar, John Malik, Li Erran Li, Gökhan Tür, Dilek Hakkani-Tür. 2037-2041 [doi]
• Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for LatencyYangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer. 2042-2046 [doi]
• Domain-Aware Self-Attention for Multi-Domain Neural Machine TranslationShiQi Zhang, Yan Liu, Deyi Xiong, Pei Zhang, Boxing Chen. 2047-2051 [doi]
• Librispeech Transducer Model with Internal Language Model Prior CorrectionAlbert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney. 2052-2056 [doi]
• A Deliberation-Based Joint Acoustic and Text DecoderSepand Mavandadi, Tara N. Sainath, Ke Hu, Zelin Wu. 2057-2061 [doi]
• On the Limit of English Conversational Speech RecognitionZoltán Tüske, George Saon, Brian Kingsbury. 2062-2066 [doi]
• Deformable TDNN with Adaptive Receptive Fields for Speech RecognitionKeyu An, Yi Zhang, Zhijian Ou. 2067-2071 [doi]
• SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of ExpertsZhao You, Shulin Feng, Dan Su, Dong Yu. 2077-2081 [doi]
• Online Compressive Transformer for End-to-End Speech RecognitionChi-Hang Leong, Yu-Han Huang, Jen-Tzung Chien. 2082-2086 [doi]
• End to End Transformer-Based Contextual Speech Recognition Based on Pointer NetworkBinghuai Lin, Liyuan Wang. 2087-2091 [doi]
• A Comparative Study on Neural Architectures and Training Methods for Japanese Speech RecognitionShigeki Karita, Yotaro Kubo, Michiel Adriaan Unico Bacchiani, Llion Jones. 2092-2096 [doi]
• Advanced Long-Context End-to-End Speech Recognition Using Context-Expanded TransformersTakaaki Hori, Niko Moritz, Chiori Hori, Jonathan Le Roux. 2097-2101 [doi]
• Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge DistillationMd. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh. 2102-2106 [doi]
• Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device ScenariosJay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer. 2107-2111 [doi]
• Difference in Perceived Speech Signal Quality Assessment Among Monolingual and Bilingual Teenage StudentsPrzemyslaw Falkowski-Gilski. 2112-2116 [doi]
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• Addressing Compliance in Call Centers with Entity ExtractionSai Guruju, Jithendra Vepa. 2347-2348 [doi]
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• It's Not What You Said, it's How You Said it: Discriminative Perception of Speech as a Multichannel Communication SystemSarenne Wallbridge, Peter Bell 0001, Catherine Lai. 2386-2390 [doi]
• Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational DegradationsThilo Michael, Gabriel Mittag, Andreas Bütow, Sebastian Möller. 2391-2395 [doi]
• ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type IdentificationChristian Bergler, Manuel Schmitt, Andreas K. Maier, Helena Symonds, Paul Spong, Steven R. Ness, George Tzanetakis, Elmar Nöth. 2396-2400 [doi]
• Audiovisual Transfer Learning for Audio Tagging and Sound Event DetectionWim Boes, Hugo Van Hamme. 2401-2405 [doi]
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• Using Large Self-Supervised Models for Low-Resource Speech RecognitionKrishna D. N, Pinyi Wang, Bruno Bozza. 2436-2440 [doi]
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• MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian LanguagesAnuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan. 2446-2450 [doi]
• Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech RecognitionGenta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi. 2451-2455 [doi]
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• Hierarchical Phone Recognition with Compositional PhoneticsXinjian Li, Juncheng Li 0001, Florian Metze, Alan W. Black. 2461-2465 [doi]
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