Abstract is missing.
- Statistical Approach to Speech Synthesis: Past, Present and FutureKeiichi Tokuda. [doi]
- Survey Talk: Multimodal Processing of Speech and LanguageFlorian Metze. [doi]
- The I2R's ASR System for the VOiCES from a Distance Challenge 2019Tze Yuang Chong, Kye Min Tan, Kah Kuan Teh, Chang Huai You, Hanwu Sun, Tran Huy Dat. [doi]
- Survey Talk: Prosody Research and Applications: The State of the ArtNigel G. Ward. [doi]
- Survey Talk: Reaching Over the Gap: Cross- and Interdisciplinary Research on Human and Automatic Speech ProcessingOdette Scharenborg. [doi]
- Survey Talk: Recognition of Foreign-Accented Speech: Challenges and Opportunities for Human and Computer Speech CommunicationAnn R. Bradlow. [doi]
- Survey Talk: Preserving Privacy in Speaker and Speech CharacterisationAndreas Nautsch. [doi]
- Survey Talk: End-to-End Deep Neural Network Based Speaker and Language RecognitionMing Li, Weicheng Cai, Danwei Cai. [doi]
- STC Speaker Recognition Systems for the VOiCES from a Distance ChallengeSergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Galina Lavrentyeva, Vladimir Volokhov, Alexandr Kozlov. [doi]
- Learning Natural Language Interfaces with Neural ModelsMirella Lapata. [doi]
- The VOiCES from a Distance Challenge 2019Mahesh Kumar Nandwana, Julien van Hout, Colleen Richey, Mitchell McLaren, Maria Alejandra Barrios, Aaron Lawson. [doi]
- Survey Talk: A Survey on Speech TranslationJan Niehues. [doi]
- Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 ChallengePavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek. [doi]
- Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov ModelsRalf Schlüter. [doi]
- Physiology and Physics of Voice ProductionManfred Kaltenbacher. [doi]
- Survey Talk: When Attention Meets Speech Applications: Speech & Speaker Recognition PerspectiveKyu J. Han, Ramon Prieto, Tao Ma. [doi]
- Survey Talk: Realistic Physics-Based Computational Voice ProductionOriol Guasch. [doi]
- The STC ASR System for the VOiCES from a Distance Challenge 2019Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Ivan Sorokin, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Oleg Petrov, Alexander Zatvornitskiy. [doi]
- Biosignal Processing for Human-Machine InteractionTanja Schultz. [doi]
- Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural NetworkFei Wu, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur. 1-5 [doi]
- o in Vowel PerceptionGary Yeung, Abeer Alwan. 6-10 [doi]
- Improving ASR Systems for Children with Autism and Language Impairment Using Domain-Focused DNN Transfer TechniquesRobert Gale, Liu Chen, Jill Dolata, Jan P. H. van Santen, Meysam Asgari. 11-15 [doi]
- Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy SessionsManuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals. 16-20 [doi]
- Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToReadAnastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Yao Qian, Binod Gyawali, Nitin Madnani, Abhinav Misra, Klaus Zechner, Zuowei Wang, John Sabatini. 21-25 [doi]
- Sustained Vowel Game: A Computer Therapy Game for Children with DysphoniaVanessa Lopes, João Magalhães, Sofia Cavaco. 26-30 [doi]
- The Dependability of Voice on Elders' Acceptance of Humanoid AgentsAnna Esposito, Terry Amorese, Marialucia Cuciniello, Maria Teresa Riviello, Antonietta Maria Esposito, Alda Troncone, Gennaro Cordasco. 31-35 [doi]
- God as Interlocutor - Real or Imaginary? Prosodic Markers of Dialogue Speech and Expected Efficacy in Spoken PrayerOliver Niebuhr, Uffe Schjoedt. 36-40 [doi]
- Expressiveness Influences Human Vocal Alignment Toward voice-AIMichelle Cohn, Georgia Zellou. 41-45 [doi]
- Detecting Topic-Oriented Speaker Stance in Conversational SpeechCatherine Lai, Beatrice Alex, Johanna D. Moore, Leimin Tian, Tatsuro Hori, Gianpiero Francesca. 46-50 [doi]
- Fusion Techniques for Utterance-Level Emotion Recognition Combining Speech and TranscriptsJilt Sebastian, Piero Pierucci. 51-55 [doi]
- Explaining Sentiment ClassificationMarvin Rajwadi, Cornelius Glackin, Julie A. Wall, Gérard Chollet, Nigel Cannings. 56-60 [doi]
- Predicting Group-Level Skin Attention to Short Movies from Audio-Based LSTM-Mixture of Experts ModelsRicardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, Zoraida Callejas, Fernando Fernández-Martínez. 61-65 [doi]
- Very Deep Self-Attention Networks for End-to-End Speech RecognitionNgoc-Quan Pham, Thai Son Nguyen, Jan Niehues, Markus Müller 0001, Alex Waibel. 66-70 [doi]
- Jasper: An End-to-End Convolutional Neural Acoustic ModelJason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde. 71-75 [doi]
- Unidirectional Neural Network Architectures for End-to-End Automatic Speech RecognitionNiko Moritz, Takaaki Hori, Jonathan Le Roux. 76-80 [doi]
- Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech RecognitionYonatan Belinkov, Ahmed Ali 0002, James R. Glass. 81-85 [doi]
- Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising AutoencoderNaohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa. 86-90 [doi]
- On Nonlinear Spatial Filtering in Multichannel Speech EnhancementKristina Tesch, Robert Rehr, Timo Gerkmann. 91-95 [doi]
- Multi-Channel Block-Online Source Extraction Based on Utterance AdaptationJuan M. Martín-Doñas, Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, Antonio M. Peinado. 96-100 [doi]
- Exploiting Multi-Channel Speech Presence Probability in Parametric Multi-Channel Wiener FilterSaeed Bagheri, Daniele Giacobello. 101-105 [doi]
- Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer FunctionMasahito Togami, Tatsuya Komatsu. 106-110 [doi]
- Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional BeamformerTomohiro Nakatani, Keisuke Kinoshita. 111-115 [doi]
- Individual Variation in Cognitive Processing Style Predicts Differences in Phonetic Imitation of Device and Human VoicesCathryn Snyder, Michelle Cohn, Georgia Zellou. 116-120 [doi]
- An Investigation on Speaker Specific Articulatory Synthesis with Speaker Independent Articulatory InversionAravind Illa, Prasanta Kumar Ghosh. 121-125 [doi]
- Individual Difference of Relative Tongue Size and its Acoustic EffectsXiaohan Zhang, Chongke Bi, Kiyoshi Honda, Wenhuan Lu, Jianguo Wei. 126-130 [doi]
- Individual Differences of Airflow and Sound Generation in the Vocal Tract of Sibilant /s/Tsukasa Yoshinaga, Kazunori Nozaki, Shigeo Wada. 131-135 [doi]
- Hush-Hush Speak: Speech Reconstruction Using Silent VideosShashwat Uttam, Yaman Kumar, Dhruva Sahrawat, Mansi Aggarwal, Rajiv Ratn Shah, Debanjan Mahata, Amanda Stent. 136-140 [doi]
- SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep LearningPramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels. 141-145 [doi]
- An Unsupervised Autoregressive Model for Speech Representation LearningYu-An Chung, Wei-Ning Hsu, Hao Tang, James R. Glass. 146-150 [doi]
- Harmonic-Aligned Frame Mask Based on Non-Stationary Gabor Transform with Application to Content-Dependent Speaker ComparisonFeng Huang 0002, Péter Balázs. 151-155 [doi]
- Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction ResidualGurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das. 156-160 [doi]
- Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised TasksSantiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte, Yoshua Bengio. 161-165 [doi]
- Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous SpeechBhanu Teja Nellore, Sri Harsha Dumpala, Karan Nathwani, Suryakanth V. Gangashetty. 166-170 [doi]
- Data Augmentation Using GANs for Speech Emotion RecognitionAggelina Chatziagapi, Georgios Paraskevopoulos, Dimitris Sgouropoulos, Georgios Pantazopoulos, Malvina Nikandrou, Theodoros Giannakopoulos, Athanasios Katsamanis, Alexandros Potamianos, Shrikanth Narayanan. 171-175 [doi]
- High Quality, Lightweight and Adaptable TTS Using LPCNetZvi Kons, Slava Shechtman, Alexander Sorin, Carmel Rabinovitz, Ron Hoory. 176-180 [doi]
- Towards Achieving Robust Universal Neural VocodingJaime Lorenzo-Trueba, Thomas Drugman, Javier Latorre, Thomas Merritt, Bartosz Putrycz, Roberto Barra-Chicote, Alexis Moinet, Vatsal Aggarwal. 181-185 [doi]
- Expediting TTS Synthesis with Adversarial VocodingPaarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley. 186-190 [doi]
- Analysis by Adversarial Synthesis - A Novel Approach for Speech VocodingAhmed Mustafa, Arijit Biswas, Christian Bergler, Julia Schottenhamml, Andreas K. Maier. 191-195 [doi]
- Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech GenerationYi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda. 196-200 [doi]
- A Speaker-Dependent WaveNet for Voice Conversion with Non-Parallel DataXiaohai Tian, Eng Siong Chng, Haizhou Li 0001. 201-205 [doi]
- Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion RecognitionZiping Zhao, Zhongtian Bao, Zixing Zhang 0001, Nicholas Cummins, Haishuai Wang, Björn W. Schuller. 206-210 [doi]
- Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention ProfileJeng-Lin Li, Chi-Chun Lee. 211-215 [doi]
- A Saliency-Based Attention LSTM Model for Cognitive Load Classification from SpeechAscensión Gallardo-Antolín, Juan Manuel Montero. 216-220 [doi]
- A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical InterviewsAdria Mallol-Ragolta, Ziping Zhao, Lukas Stappen, Nicholas Cummins, Björn W. Schuller. 221-225 [doi]
- Untranscribed Web Audio for Low Resource Speech RecognitionAndrea Carmantini, Peter Bell 0001, Steve Renals. 226-230 [doi]
- RWTH ASR Systems for LibriSpeech: Hybrid vs AttentionChristoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney. 231-235 [doi]
- Auxiliary Interference Speaker Loss for Target-Speaker Speech RecognitionNaoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe. 236-240 [doi]
- Speaker Adaptation for Attention-Based End-to-End Speech RecognitionZhong Meng, Yashesh Gaur, Jinyu Li, Yifan Gong. 241-245 [doi]
- Large Margin Training for Attention Based End-to-End Speech RecognitionPeidong Wang, Jia Cui, Chao Weng, Dong Yu 0001. 246-250 [doi]
- Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech RecognitionKhoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny. 251-255 [doi]
- SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence AutoencodersBenjamin Milde, Chris Biemann. 256-260 [doi]
- Bayesian Subspace Hidden Markov Model for Acoustic Unit DiscoveryLucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký. 261-265 [doi]
- Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource LanguagesYosuke Higuchi, Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa. 266-270 [doi]
- Building Large-Vocabulary ASR Systems for Languages Without Any Audio Training DataManasa Prasad, Daan van Esch, Sandy Ritchie, Jonas Fromseier Mortensen. 271-275 [doi]
- Towards Bilingual Lexicon Discovery From Visually Grounded Speech AudioEmmanuel Azuh, David Harwath, James R. Glass. 276-280 [doi]
- Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and TransformationSiyuan Feng, Tan Lee. 281-285 [doi]
- Listeners' Ability to Identify the Gender of Preadolescent Children in Different Linguistic ContextsShawn L. Nissen, Sharalee Blunck, Anita Dromey, Christopher Dromey. 286-290 [doi]
- Sibilant Variation in New Englishes: A Comparative Sociophonetic Study of Trinidadian and American English /s(tr)/-RetractionWiebke Ahlers, Philipp Meer. 291-295 [doi]
- Tracking the New Zealand English NEAR/SQUARE Merger Using Functional Principal Components AnalysisMichele Gubian, Jonathan Harrington, Mary Stevens, Florian Schiel, Paul Warren. 296-300 [doi]
- Phonetic Accommodation in a Wizard-of-Oz Experiment: Intonation and SegmentsIona Gessinger, Bernd Möbius, Bistra Andreeva, Eran Raveh, Ingmar Steiner. 301-305 [doi]
- PASCAL and DPA: A Pilot Study on Using Prosodic Competence Scores to Predict Communicative Skills for Team Working and Public SpeakingOliver Niebuhr, Jan Michalsky. 306-310 [doi]
- Towards the Prosody of Persuasion in Competitive Negotiation. The Relationship Between f0 and Negotiation Success in Same Sex Sales TasksJan Michalsky, Heike Schoormann, Thomas Schultze. 311-315 [doi]
- VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken EnglishJacob Sager, Ravi Shankar, Jacob Reinhold, Archana Venkataraman. 316-320 [doi]
- Building the Singapore English National Speech CorpusJia Xin Koh, Aqilah Mislan, Kevin Khoo, Brian Ang, Wilson Ang, Charmaine Ng, Ying-Ying Tan. 321-325 [doi]
- Challenging the Boundaries of Speech Recognition: The MALACH CorpusMichael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon. 326-330 [doi]
- NITK Kids' Speech CorpusPravin Bhaskar Ramteke, Sujata Supanekar, Pradyoth Hegde, Hanna Nelson, Venkataraja Aithal, Shashidhar G. Koolagudi. 331-335 [doi]
- Towards Variability Resistant Dialectal Speech EvaluationAhmed Ali, Salam Khalifa, Nizar Habash. 336-340 [doi]
- How to Annotate 100 Hours in 45 MinutesPer Fallgren, Zofia Malisz, Jens Edlund. 341-345 [doi]
- Bayesian HMM Based x-Vector Clustering for Speaker DiarizationMireia Díez, Lukás Burget, Shuai Wang, Johan Rohdin, Jan Cernocký. 346-350 [doi]
- Unleashing the Unused Potential of i-Vectors Enabled by GPU AccelerationVille Vestman, Kong-Aik Lee, Tomi H. Kinnunen, Takafumi Koshinaka. 351-355 [doi]
- MCE 2018: The 1st Multi-Target Speaker Detection and Identification Challenge EvaluationSuwon Shon, Najim Dehak, Douglas A. Reynolds, James R. Glass. 356-360 [doi]
- Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification SystemZhifu Gao, Yan Song, Ian McLoughlin, Pengcheng Li, Yiheng Jiang, Li-Rong Dai. 361-365 [doi]
- LSTM Based Similarity Measurement with Spectral Clustering for Speaker DiarizationQingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras. 366-370 [doi]
- Who Said That?: Audio-Visual Speaker Diarisation of Real-World MeetingsJoon Son Chung, Bong-Jin Lee, Icksang Han. 371-375 [doi]
- Multi-PLDA Diarization on Children's SpeechJiamin Xie, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur. 376-380 [doi]
- Speaker Diarization Using Leave-One-Out Gaussian PLDA Clustering of DNN EmbeddingsAlan McCree, Gregory Sell, Daniel Garcia-Romero. 381-385 [doi]
- Speaker-Corrupted Embeddings for Online Speaker DiarizationOmid Ghahabi, Volker Fischer. 386-390 [doi]
- Speaker Diarization with Lexical InformationTae-Jin Park, Kyu J. Han, Jing Huang 0019, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan. 391-395 [doi]
- Joint Speech Recognition and Speaker Diarization via Sequence TransductionLaurent El Shafey, Hagen Soltau, Izhak Shafran. 396-400 [doi]
- Normal Variance-Mean Mixtures for Unsupervised Score CalibrationSandro Cumani. 401-405 [doi]
- Speaker Augmentation and Bandwidth Extension for Deep Speaker EmbeddingHitoshi Yamamoto, Kong-Aik Lee, Koji Okabe, Takafumi Koshinaka. 406-410 [doi]
- Large-Scale Speaker Diarization of Radio Broadcast ArchivesEmre Yilmaz, Adem Derinel, Kun Zhou, Henk van den Heuvel, Niko Brummer, Haizhou Li 0001, David A. van Leeuwen. 411-415 [doi]
- Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio StreamsHarishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen. 416-420 [doi]
- Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech RecognitionGyörgy Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki. 421-425 [doi]
- Label Driven Time-Frequency Masking for Robust Continuous Speech RecognitionMeet H. Soni, Ashish Panda. 426-430 [doi]
- Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student LearningLong Wu, Hangting Chen, Li Wang, Pengyuan Zhang, Yonghong Yan 0002. 431-435 [doi]
- Full-Sentence Correlation: A Method to Handle Unpredictable Noise for Robust Speech RecognitionJi Ming, Danny Crookes. 436-440 [doi]
- Generative Noise Modeling and Channel Simulation for Robust Speech Recognition in Unseen ConditionsMeet H. Soni, Sonal Joshi, Ashish Panda. 441-445 [doi]
- Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech RecognitionShashi Kumar, Shakti P. Rath. 446-450 [doi]
- End-to-End SpeakerBeam for Single Channel Target Speech RecognitionMarc Delcroix, Shinji Watanabe, Tsubasa Ochiai, Keisuke Kinoshita, Shigeki Karita, Atsunori Ogawa, Tomohiro Nakatani. 451-455 [doi]
- NIESR: Nuisance Invariant End-to-End Speech RecognitionI-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan. 456-460 [doi]
- Knowledge Distillation for Throat Microphone Speech RecognitionTakahito Suzuki, Jun Ogata, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura. 461-465 [doi]
- Improved Speaker-Dependent Separation for CHiME-5 ChallengeJian Wu, Yong Xu, Shi-Xiong Zhang, LianWu Chen, Meng Yu, Lei Xie, Dong Yu 0001. 466-470 [doi]
- Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic ModelingPeidong Wang, Ke Tan, DeLiang Wang. 471-475 [doi]
- Enhanced Spectral Features for Distortion-Independent Acoustic ModelingPeidong Wang, DeLiang Wang. 476-480 [doi]
- Universal Adversarial Perturbations for Speech Recognition SystemsPaarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar. 481-485 [doi]
- One-Pass Single-Channel Noisy Speech Recognition Using a Combination of Noisy and Enhanced FeaturesMasakiyo Fujimoto, Hisashi Kawai. 486-490 [doi]
- Jointly Adversarial Enhancement Training for Robust End-to-End Speech RecognitionBin Liu, Shuai Nie, Shan Liang, Wenju Liu, Meng Yu, LianWu Chen, Shouye Peng, Changliang Li. 491-495 [doi]
- Predicting Humor by Learning from Time-Aligned CommentsZixiaofan Yang, Bingyan Hu, Julia Hirschberg. 496-500 [doi]
- Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata InformationYoan Dinkov, Ahmed Ali 0002, Ivan Koychev, Preslav Nakov. 501-505 [doi]
- Mitigating Gender and L1 Differences to Improve State and Trait RecognitionGuozhen An, Rivka Levitan. 506-509 [doi]
- Deep Learning Based Mandarin Accent Identification for Accent Robust ASRFelix Weninger, Yang Sun, Junho Park, Daniel Willett, Puming Zhan. 510-514 [doi]
- Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio DataGábor Gosztolya, László Tóth. 515-519 [doi]
- Conversational and Social Laughter Synthesis with WaveNetHiroki Mori, Tomohiro Nagata, Yoshiko Arimoto. 520-523 [doi]
- Laughter Dynamics in Dyadic ConversationsBogdan Ludusan, Petra Wagner. 524-528 [doi]
- Towards an Annotation Scheme for Complex Laughter in Speech CorporaKhiet P. Truong, Jürgen Trouvain, Michel-Pierre Jansen. 529-533 [doi]
- Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress TestAlice Baird, Shahin Amiriparian, Nicholas Cummins, Sarah Sturmbauer, Johanna Janson, Eva-Maria Meßner, Harald Baumeister, Nicolas Rohleder, Björn W. Schuller. 534-538 [doi]
- Sincerity in Acted Speech: Presenting the Sincere Apology Corpus and ResultsAlice Baird, Eduardo Coutinho, Julia Hirschberg, Björn W. Schuller. 539-543 [doi]
- Do not Hesitate! - Unless You Do it Shortly or Nasally: How the Phonetics of Filled Pauses Determine Their Subjective Frequency and Perceived Speaker PerformanceOliver Niebuhr, Kerstin Fischer. 544-548 [doi]
- Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from SpeechJuan Camilo Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth. 549-553 [doi]
- Code-Switching Sentence Generation by Generative Adversarial Networks and its Application to Data AugmentationChing-Ting Chang, Shun-Po Chuang, Hung-yi Lee. 554-558 [doi]
- Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive RoboticsMoritz Meier, Celeste Mason, Felix Putze, Tanja Schultz. 559-563 [doi]
- RadioTalk: A Large-Scale Corpus of Talk Radio TranscriptsDoug Beeferman, William Brannon, Deb Roy. 564-568 [doi]
- Qualitative Evaluation of ASR Adaptation in a Lecture Context: Application to the PASTEL CorpusSalima Mdhaffar, Yannick Estève, Nicolas Hernandez, Antoine Laurent, Richard Dufour, Solen Quiniou. 569-573 [doi]
- Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU LearningFederico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio, Giuseppe Riccardi. 574-578 [doi]
- Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline SystemGerardo Roa Dabike, Jon Barker. 579-583 [doi]
- Detecting Mismatch Between Speech and Transcription Using Cross-Modal AttentionQiang Huang, Thomas Hain. 584-588 [doi]
- EpaDB: A Database for Development of Pronunciation Assessment SystemsJazmín Vidal, Luciana Ferrer, Leonardo Brambilla. 589-593 [doi]
- Automatic Compression of Subtitles with Neural Networks and its Effect on User ExperienceKatrin Angerbauer, Heike Adel, Ngoc Thang Vu. 594-598 [doi]
- Integrating Video Retrieval and Moment Detection in a Unified Corpus for Video Question AnsweringHongyin Luo, Mitra Mohtarami, James R. Glass, Karthik Krishnamurthy, Brigitte Richardson. 599-603 [doi]
- Early Identification of Speech Changes Due to Amyotrophic Lateral Sclerosis Using Machine ClassificationSarah E. Gutz, Jun Wang 0037, Yana Yunusova, Jordan R. Green. 604-608 [doi]
- Automatic Detection of Breath Using Voice Activity Detection and SVM Classifier with Application on News ReportsMohamed Ismail Yasar Arafath K, Aurobinda Routray. 609-613 [doi]
- Acoustic Scene Classification Using Teacher-Student Learning with Soft-LabelsHee-Soo Heo, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu. 614-618 [doi]
- Rare Sound Event Detection Using Deep Learning and Data AugmentationYanping Chen 0005, Hongxia Jin. 619-623 [doi]
- A Combination of Model-Based and Feature-Based Strategy for Speech-to-Singing AlignmentBidisha Sharma, Haizhou Li 0001. 624-628 [doi]
- Dr.VOT: Measuring Positive and Negative Voice Onset Time in the WildYosi Shrem, Matthew Goldrick, Joseph Keshet. 629-633 [doi]
- Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition ModelsJ. Hui, Y. Wei, S. T. Chen, R. H. Y. So. 634-638 [doi]
- Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice ConversionNirmesh J. Shah, Hemant A. Patil. 639-643 [doi]
- Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak ClassificationRavi Shankar, Archana Venkataraman. 644-648 [doi]
- An Approach to Online Speaker Change Point Detection Using DNNs and WFSTsLukás Mateju, Petr Cerva, Jindrich Zdánský. 649-653 [doi]
- Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural NetworksZhenyu Tang, John D. Kanu, Kevin Hogan, Dinesh Manocha. 654-658 [doi]
- Non-Parallel Voice Conversion Using Weighted Generative Adversarial NetworksDipjyoti Paul, Yannis Pantazis, Yannis Stylianou. 659-663 [doi]
- One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance NormalizationJu-Chieh Chou, Hung-yi Lee. 664-668 [doi]
- One-Shot Voice Conversion with Global Speaker EmbeddingsHui Lu, Zhiyong Wu, Dongyang Dai, Runnan Li, Shiyin Kang, Jia Jia 0001, Helen Meng. 669-673 [doi]
- Non-Parallel Voice Conversion with Cyclic Variational AutoencoderPatrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda. 674-678 [doi]
- StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice ConversionTakuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo. 679-683 [doi]
- Robustness of Statistical Voice Conversion Based on Direct Waveform Modification Against Background SoundsYusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda. 684-688 [doi]
- Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial NetworksShengkui Zhao, Trung Hieu Nguyen, Hao Wang, Bin Ma. 689-693 [doi]
- GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-SpectrogramLauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku. 694-698 [doi]
- Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform GenerationRyuichi Yamamoto, Eunwoo Song, Jae Min Kim. 699-703 [doi]
- One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic PosteriorgramsSeyed Hamidreza Mohammadi, Taehwan Kim. 704-708 [doi]
- Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice ConversionWen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao 0001, Hsin-Min Wang. 709-713 [doi]
- Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic PosteriorgramsSongxiang Liu, Yuewen Cao, Xixin Wu, Lifa Sun, Xunying Liu, Helen Meng. 714-718 [doi]
- Generative Adversarial Networks for Unpaired Voice Transformation on Impaired SpeechLi-Wei Chen, Hung-yi Lee, Yu Tsao 0001. 719-723 [doi]
- Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice ConversionShaojin Ding, Ricardo Gutierrez-Osuna. 724-728 [doi]
- Semi-Supervised Voice Conversion with Amortized Variational InferenceCory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol. 729-733 [doi]
- Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech RecognitionSubhadeep Dey, Petr Motlícek, Trung Bui, Franck Dernoncourt. 734-738 [doi]
- Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition SystemChanwoo Kim, Minkyu Shin, Abhinav Garg, Dhananjaya Gowda. 739-743 [doi]
- Multi-Accent Adaptation Based on Gate MechanismHan Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan 0002. 744-748 [doi]
- Unsupervised Adaptation with Adversarial Dropout Regularization for Robust Speech RecognitionPengcheng Guo, Sining Sun, Lei Xie 0001. 749-753 [doi]
- Cumulative Adaptation for BLSTM Acoustic ModelsMarkus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney. 754-758 [doi]
- Fast DNN Acoustic Model Speaker Adaptation by Learning Hidden Unit Contribution FeaturesXurong Xie, Xunying Liu, Tan Lee, Lan Wang. 759-763 [doi]
- End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition SystemEmiru Tsunoo, Yosuke Kashiwagi, Satoshi Asakawa, Toshiyuki Kumakura. 764-768 [doi]
- Learning Speaker Aware Offsets for Speaker Adaptation of Neural NetworksLeda Sari, Samuel Thomas, Mark A. Hasegawa-Johnson. 769-773 [doi]
- An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition ModelsKhe Chai Sim, Petr Zadrazil, Françoise Beaufays. 774-778 [doi]
- A Multi-Accent Acoustic Model Using Mixture of Experts for Speech RecognitionAbhinav Jain, Vishwanath P. Singh, Shakti P. Rath. 779-783 [doi]
- Personalizing ASR for Dysarthric and Accented Speech with Limited DataJoel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias. 784-788 [doi]
- Mitigating Noisy Inputs for Question AnsweringDenis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber. 789-793 [doi]
- One-vs-All Models for Asynchronous Training: An Empirical AnalysisRahul Gupta, Aman Alok, Shankar Ananthakrishnan. 794-798 [doi]
- Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial LearningGabriel Marzinotto, Géraldine Damnati, Frédéric Béchet. 799-803 [doi]
- M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech UnderstandingTitouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès. 804-808 [doi]
- Ultra-Compact NLU: Neuronal Network Binarization as RegularizationMunir Georges, Krzysztof Czarnowski, Tobias Bocklet. 809-813 [doi]
- Speech Model Pre-Training for End-to-End Spoken Language UnderstandingLoren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio. 814-818 [doi]
- Spoken Language Intent Detection Using Confusion2VecPrashanth Gurunath Shivakumar, Mu Yang, Panayiotis G. Georgiou. 819-823 [doi]
- Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from SpeechNatalia Tomashenko, Antoine Caubrière, Yannick Estève. 824-828 [doi]
- Topic-Aware Dialogue Speech Recognition with Transfer LearningYuanfeng Song, Di Jiang, Xueyang Wu 0001, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang. 829-833 [doi]
- Improving Conversation-Context Language Models with Multiple Spoken Language Understanding ModelsRyo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba, Satoshi Kobashikawa, Yushi Aono. 834-838 [doi]
- Meta Learning for Hyperparameter Optimization in Dialogue SystemJen-Tzung Chien, Wei Xiang Lieow. 839-843 [doi]
- Zero Shot Intent Classification Using Long-Short Term Memory NetworksKyle Williams. 844-848 [doi]
- A Comparison of Deep Learning Methods for Language UnderstandingMandy Korpusik, Zoe Liu, James R. Glass. 849-853 [doi]
- Slot Filling with Weighted Multi-Encoders for Out-of-Domain ValuesYuka Kobayashi, Takami Yoshida, Kenji Iwata, Hiroshi Fujimura. 854-858 [doi]
- Multi-Corpus Acoustic-to-Articulatory Speech InversionNadee Seneviratne, Ganesh Sivaraman, Carol Y. Espy-Wilson. 859-863 [doi]
- Towards a Speaker Independent Speech-BCI Using Speaker AdaptationDebadatta Dash, Alan Wisler, Paul Ferrari, Jun Wang 0037. 864-868 [doi]
- Identifying Input Features for Development of Real-Time Translation of Neural Signals to TextJanaki Sheth, Ariel Tankus, Michelle Tran, Lindy Comstock, Itzhak Fried, William Speier. 869-873 [doi]
- Exploring Critical Articulator Identification from 50Hz RT-MRI Data of the Vocal TractSamuel S. Silva, António J. S. Teixeira, Conceição Cunha, Nuno Almeida, Arun A. Joseph, Jens Frahm. 874-878 [doi]
- Towards a Method of Dynamic Vocal Tract Shapes Generation by Combining Static 3D and Dynamic 2D MRI Speech DataIoannis K. Douros, Anastasiia Tsukanova, Karyna Isaieva, Pierre-André Vuissoz, Yves Laprie. 879-883 [doi]
- Temporal Coordination of Articulatory and Respiratory Events Prior to Speech InitiationOksana Rasskazova, Christine Mooshammer, Susanne Fuchs. 884-888 [doi]
- Zooming in on Spatiotemporal V-to-C Coarticulation with Functional PCAMichele Gubian, Manfred Pastätter, Marianne Pouplier. 889-893 [doi]
- Ultrasound-Based Silent Speech Interface Built on a Continuous VocoderTamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh, Gábor Gosztolya, Tamás Grósz, László Tóth, Alexandra Markó. 894-898 [doi]
- Assessing Acoustic and Articulatory Dimensions of Speech Motor Adaptation with Random ForestsEugen Klein, Jana Brunner, Phil Hoole. 899-903 [doi]
- Speech Organ Contour Extraction Using Real-Time MRI and Machine Learning MethodHironori Takemoto, Tsubasa Goto, Yuya Hagihara, Sayaka Hamanaka, Tatsuya Kitamura, Yukiko Nota, Kikuo Maekawa. 904-908 [doi]
- CNN-Based Phoneme Classifier from Vocal Tract MRI Learns Embedding Consistent with Articulatory TopologyK. G. van Leeuwen, P. Bos, Stefano Trebeschi, Maarten J. A. van Alphen, Luuk Voskuilen, Ludi E. Smeele, Ferdi van der Heijden, R. J. J. H. van Son. 909-913 [doi]
- Strength and Structure: Coupling Tones with Oral Constriction GesturesDoris Mücke, Anne Hermes, Sam Tilsen. 914-918 [doi]
- Salient Speech Representations Based on Cloned NetworksW. Bastiaan Kleijn, Felicia S. C. Lim, Michael Chinen, Jan Skoglund. 919-923 [doi]
- ASR Inspired Syllable Stress Detection for Pronunciation Evaluation Without Using a Supervised Classifier and Syllable Level FeaturesManoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh. 924-928 [doi]
- Acoustic and Articulatory Feature Based Speech Rate Estimation Using a Convolutional Dense Neural NetworkRenuka Mannem, Jhansi Mallela, Aravind Illa, Prasanta Kumar Ghosh. 929-933 [doi]
- Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech CharacteristicsSebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter. 934-938 [doi]
- Unsupervised Low-Rank Representations for Speech Emotion RecognitionGeorgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas, Theodoros Giannakopoulos, Alexandros Potamianos. 939-943 [doi]
- On the Suitability of the Riesz Spectro-Temporal Envelope for WaveNet Based Speech SynthesisJitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula. 944-948 [doi]
- Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion RecognitionXinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang 0001, Li Zhao 0003, Björn W. Schuller. 949-953 [doi]
- An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition ProbabilitiesSweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh. 954-958 [doi]
- Low Resource Automatic Intonation Classification Using Gated Recurrent Unit (GRU) Networks Pre-Trained with Synthesized Pitch PatternsAtreyee Saha, Chiranjeevi Yarra, Prasanta Kumar Ghosh. 959-963 [doi]
- Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's DiseaseJuan Camilo Vásquez-Correa, Tomas Arias-Vergara, Philipp Klumpp, M. Strauss, Arne Küderle, Nils Roth, S. Bayerl, Nicanor García-Ospina, Paula Andrea Pérez-Toro, L. Felipe Parra-Gallego, Cristian David Rios-Urrego, D. Escobar-Grisales, Juan Rafael Orozco-Arroyave, Björn Eskofier, Elmar Nöth. 964-965 [doi]
- Depression State Assessment: Application for Detection of Depression by SpeechGábor Kiss, Dávid Sztahó, Klára Vicsi. 966-967 [doi]
- SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English LearnersChiranjeevi Yarra, Aparna Srinivasan, Sravani Gottimukkala, Prasanta Kumar Ghosh. 968-969 [doi]
- Using Real-Time Visual Biofeedback for Second Language InstructionShawn L. Nissen, Rebecca Nissen. 970-971 [doi]
- Splash: Speech and Language Assessment in Schools and HomesA. Miwardelli, I. Gallagher, J. Gibson, Napoleon Katsos, Kate M. Knill, H. Wood. 972-973 [doi]
- Using Ultrasound Imaging to Create Augmented Visual Biofeedback for Articulatory PracticeColin T. Annand, Maurice Lamb, Sarah Dugan, Sarah R. Li, Hannah M. Woeste, T. Douglas Mast, Michael A. Riley, Jack A. Masterson, Neeraja Mahalingam, Kathryn J. Eary, Caroline Spencer, Suzanne Boyce, Stephanie Jackson, Anoosha Baxi, Reneé Seward. 974-975 [doi]
- Speech-Based Web Navigation for Limited Mobility UsersVasiliy Radostev, Serge Berger, Justin Tabrizi, Pasha Kamyshev, Hisami Suzuki. 976-977 [doi]
- The Second DIHARD Diarization Challenge: Dataset, Task, and BaselinesNeville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristià, Jun Du, Sriram Ganapathy, Mark Liberman. 978-982 [doi]
- LEAP Diarization System for the Second DIHARD ChallengePrachi Singh, Harsha Vardhan, Sriram Ganapathy, A. Kanagasundaram. 983-987 [doi]
- ViVoLAB Speaker Diarization System for the DIHARD 2019 ChallengeIgnacio Viñals, Pablo Gimeno, Alfonso Ortega Giménez, Antonio Miguel, Eduardo Lleida. 988-992 [doi]
- UWB-NTIS Speaker Diarization System for the DIHARD II 2019 ChallengeZbynek Zajíc, Marie Kunesová, Marek Hrúz, Jan Vanek. 993-997 [doi]
- The Second DIHARD Challenge: System Description for USC-SAIL TeamTae-Jin Park, Manoj Kumar 0007, Nikolaos Flemotomos, Monisankha Pal, Raghuveer Peri, Rimita Lahiri, Panayiotis G. Georgiou, Shrikanth Narayanan. 998-1002 [doi]
- Speaker Diarization with Deep Speaker Embeddings for DIHARD Challenge IISergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Anastasia Avdeeva, Artem Gorlanov, Alexandr Kozlov. 1003-1007 [doi]
- ASVspoof 2019: Future Horizons in Spoofed and Fake Audio DetectionMassimiliano Todisco, Xin Wang 0037, Ville Vestman, Md. Sahidullah, Héctor Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas W. D. Evans, Tomi H. Kinnunen, Kong-Aik Lee. 1008-1012 [doi]
- ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual NetworksCheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak. 1013-1017 [doi]
- Ensemble Models for Spoofing Detection in Automatic Speaker VerificationBhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm. 1018-1022 [doi]
- The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and FusionWeicheng Cai, Haiwei Wu, Danwei Cai, Ming Li 0026. 1023-1027 [doi]
- Robust Bayesian and Light Neural Networks for Voice Spoofing DetectionRadoslaw Bialobrzeski, Michal Kosmider, Mateusz Matuszewski, Marcin Plata, Alexander Rakowski. 1028-1032 [doi]
- STC Antispoofing Systems for the ASVspoof2019 ChallengeGalina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov. 1033-1037 [doi]
- The SJTU Robust Anti-Spoofing System for the ASVspoof 2019 ChallengeYexin Yang, Hongji Wang, Heinrich Dinkel, Zhengyang Chen, Shuai Wang 0016, Yanmin Qian, Kai Yu 0004. 1038-1042 [doi]
- IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019K. N. R. K. Raju Alluri, Anil Kumar Vuppala. 1043-1047 [doi]
- Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task LearningRongjin Li, Miao Zhao, Zheng Li, Lin Li, Qingyang Hong. 1048-1052 [doi]
- Speech Replay Detection with x-Vector Attack Embeddings and Spectral FeaturesJennifer Williams, Joanna Rownicka. 1053-1057 [doi]
- Long Range Acoustic Features for Spoofed Speech DetectionRohan Kumar Das, Jichen Yang, Haizhou Li 0001. 1058-1062 [doi]
- Transfer-Representation Learning for Detecting Spoofing Attacks with Converted and Synthesized Speech in Automatic Speaker Verification SystemSu-Yu Chang, Kai-Cheng Wu, Chia-Ping Chen. 1063-1067 [doi]
- A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing DetectionAlejandro Gómez Alanís, Antonio M. Peinado, José A. González 0001, Angel M. Gomez. 1068-1072 [doi]
- Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 ChallengeHossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou, Johan Rohdin, Ioannis Gkinis, Lukás Burget, Jan Cernocký. 1073-1077 [doi]
- Deep Residual Neural Networks for Audio Spoofing DetectionMoustafa Alzantot, Ziqi Wang, Mani B. Srivastava. 1078-1082 [doi]
- Replay Attack Detection with Complementary High-Resolution Information Using End-to-End DNN for the ASVspoof 2019 ChallengeJee-weon Jung, Hye-jin Shim, Hee-Soo Heo, Ha-Jin Yu. 1083-1087 [doi]
- The Zero Resource Speech Challenge 2019: TTS Without TEwan Dunbar, Robin Algayres, Julien Karadayi, Mathieu Bernard, Juan Benjumea, Xuan-Nga Cao, Lucie Miskic, Charlotte Dugrain, Lucas Ondel, Alan W. Black, Laurent Besacier, Sakriani Sakti, Emmanuel Dupoux. 1088-1092 [doi]
- Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword ModelingSiyuan Feng, Tan Lee, Zhiyuan Peng. 1093-1097 [doi]
- Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 ChallengeBolaji Yusuf, Alican Gök, Batuhan Gündogdu, Oyku Deniz Kose, Murat Saraclar. 1098-1102 [doi]
- Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural NetworksRyan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan Van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper. 1103-1107 [doi]
- Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice ConversionAndy T. Liu, Po-Chun Hsu, Hung-yi Lee. 1108-1112 [doi]
- Zero Resource Speech Synthesis Using Transcripts Derived from Perceptual Acoustic UnitsKarthik Pandia D. S, Hema A. Murthy. 1113-1117 [doi]
- VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019Andros Tjandra, Berrak Sisman, Mingyang Zhang 0003, Sakriani Sakti, Haizhou Li 0001, Satoshi Nakamura 0001. 1118-1122 [doi]
- Direct Speech-to-Speech Translation with a Sequence-to-Sequence ModelYe Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson, Zhifeng Chen, Yonghui Wu. 1123-1127 [doi]
- End-to-End Speech Translation with Knowledge DistillationYuchen Liu, Hao Xiong, Jiajun Zhang, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong. 1128-1132 [doi]
- Adapting Transformer to End-to-End Spoken Language TranslationMattia Antonino Di Gangi, Matteo Negri, Marco Turchi. 1133-1137 [doi]
- Unsupervised Phonetic and Word Level Discovery for Speech to Speech Translation for Unwritten LanguagesSteven Hillis, Anushree Prasanna Kumar, Alan W. Black. 1138-1142 [doi]
- Deep Speaker Recognition: Modular or Monolithic?Gautam Bhattacharya, Md. Jahangir Alam, Patrick Kenny. 1143-1147 [doi]
- On the Usage of Phonetic Information for Text-Independent Speaker Embedding ExtractionShuai Wang 0016, Johan Rohdin, Lukás Burget, Oldrich Plchot, Yanmin Qian, Kai Yu 0004, Jan Cernocký. 1148-1152 [doi]
- Learning Speaker Representations with Mutual InformationMirco Ravanelli, Yoshua Bengio. 1153-1157 [doi]
- Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker VerificationLanhua You, Wu Guo, Li-Rong Dai, Jun Du. 1158-1162 [doi]
- Data Augmentation Using Variational Autoencoder for Embedding Based Speaker VerificationZhanghao Wu, Shuai Wang 0016, Yanmin Qian, Kai Yu 0004. 1163-1167 [doi]
- Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker VerificationLanhua You, Wu Guo, Li-Rong Dai, Jun Du. 1168-1172 [doi]
- Neural Transition Systems for Modeling Hierarchical Semantic RepresentationsRiyaz Ahmad Bhat, John Chen, Rashmi Prasad, Srinivas Bangalore. 1173-1177 [doi]
- Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language UnderstandingVedran Vukotic, Christian Raymond. 1178-1182 [doi]
- Iterative Delexicalization for Improved Spoken Language UnderstandingAvik Ray, Yilin Shen, Hongxia Jin. 1183-1187 [doi]
- End-to-End Spoken Language Understanding: Bootstrapping in Low Resource ScenariosSwapnil Bhosale, Imran Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu. 1188-1192 [doi]
- Recognition of Intentions of Users' Short Responses for Conversational News Delivery SystemHiroaki Takatsu, Katsuya Yokoyama, Yoichi Matsuyama, Hiroshi Honda, Shinya Fujie, Tetsunori Kobayashi. 1193-1197 [doi]
- Curriculum-Based Transfer Learning for an Effective End-to-End Spoken Language Understanding and Domain PortabilityAntoine Caubrière, Natalia A. Tomashenko, Antoine Laurent, Emmanuel Morin, Nathalie Camelin, Yannick Estève. 1198-1202 [doi]
- Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG SignalsDebadatta Dash, Paul Ferrari, Jun Wang 0037. 1203-1207 [doi]
- ERP Signal Analysis with Temporal Resolution Using a Time Window BankAnnika Nijveld, Louis ten Bosch, Mirjam Ernestus. 1208-1212 [doi]
- Phase Synchronization Between EEG Signals as a Function of Differences Between Stimuli CharacteristicsLouis ten Bosch, Kimberley Mulder, Louis Boves. 1213-1217 [doi]
- The Processing of Prosodic Cues to Rhetorical Question Interpretation: Psycholinguistic and Neurolinguistics EvidenceMariya Kharaman, Manluolan Xu, Carsten Eulitz, Bettina Braun. 1218-1222 [doi]
- The Neural Correlates Underlying Lexically-Guided Perceptual LearningOdette Scharenborg, Jiska Koemans, Cybelle Smith, Mark A. Hasegawa-Johnson, Kara D. Federmeier. 1223-1227 [doi]
- Speech Quality Evaluation of Synthesized Japanese Speech Using EEGIvan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura 0001. 1228-1232 [doi]
- Multi-Microphone Adaptive Noise Cancellation for Robust Hotword DetectionYiteng Huang, Turaj Zakizadeh Shabestary, Alexander Gruenstein, Li Wan. 1233-1237 [doi]
- Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech RecognitionShengkui Zhao, Chongjia Ni, Rong Tong, Bin Ma. 1238-1242 [doi]
- R-Vectors: New Technique for Adaptation to Room AcousticsYuri Y. Khokhlov, Alexander Zatvornitskiy, Ivan Medennikov, Ivan Sorokin, Tatiana Prisyach, Aleksei Romanenko, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Mariya Korenevskaya, Oleg Petrov. 1243-1247 [doi]
- Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRNaoyuki Kanda, Christoph Böddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach. 1248-1252 [doi]
- Unsupervised Training of Neural Mask-Based BeamformingLukas Drude, Jahn Heymann, Reinhold Haeb-Umbach. 1253-1257 [doi]
- Acoustic Model Ensembling Using Effective Data Augmentation for CHiME-5 ChallengeFeng Ma, Li Chai 0002, Jun Du, Diyuan Liu, Zhongfu Ye, Chin-Hui Lee. 1258-1262 [doi]
- Attention Based Hybrid i-Vector BLSTM Model for Language RecognitionBharat Padi, Anand Mohan, Sriram Ganapathy. 1263-1267 [doi]
- RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker VerificationJee-weon Jung, Hee-Soo Heo, Ju-ho Kim, Hye-jin Shim, Ha-Jin Yu. 1268-1272 [doi]
- Target Speaker Extraction for Multi-Talker Speaker VerificationWei Rao, Chenglin Xu, Eng Siong Chng, Haizhou Li 0001. 1273-1277 [doi]
- Improving Keyword Spotting and Language Identification via Neural Architecture Search at ScaleHanna Mazzawi, Xavi Gonzalvo, Aleks Kracun, Prashant Sridhar, Niranjan Subrahmanya, Ignacio Lopez-Moreno, Hyun-Jin Park, Patrick Violette. 1278-1282 [doi]
- Forward-Backward Decoding for Regularizing End-to-End TTSYibin Zheng, Xi Wang, Lei He, Shifeng Pan, Frank K. Soong, Zhengqi Wen, Jianhua Tao. 1283-1287 [doi]
- A New GAN-Based End-to-End TTS Training AlgorithmHaohan Guo, Frank K. Soong, Lei He, Lei Xie. 1288-1292 [doi]
- Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTSMutian He, Yan Deng, Lei He. 1293-1297 [doi]
- Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNetMingyang Zhang 0003, Xin Wang 0037, Fuming Fang, Haizhou Li 0001, Junichi Yamagishi. 1298-1302 [doi]
- Training Multi-Speaker Neural Text-to-Speech Systems Using Speaker-Imbalanced Speech CorporaHieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa. 1303-1307 [doi]
- Real-Time Neural Text-to-Speech with Sequence-to-Sequence Acoustic Model and WaveGlow or Single Gaussian WaveRNN VocodersTakuma Okamoto, Tomoki Toda, Yoshinori Shiga, Hisashi Kawai. 1308-1312 [doi]
- Fusion Strategy for Prosodic and Lexical Representations of Word ImportanceSushant Kafle, Cecilia Ovesdotter Alm, Matt Huenerfauth. 1313-1317 [doi]
- Self Attention in Variational Sequential Learning for SummarizationJen-Tzung Chien, Chun-Wei Wang. 1318-1322 [doi]
- Multi-Modal Sentiment Analysis Using Deep Canonical Correlation AnalysisZhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Erik P. Bucy. 1323-1327 [doi]
- Interpreting and Improving Deep Neural SLU Models via Vocabulary ImportanceYilin Shen, Wenhu Chen, Hongxia Jin. 1328-1332 [doi]
- Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document SummarizationMáté Ákos Tündik, Valér Kaszás, György Szaszák. 1333-1337 [doi]
- Latent Topic Attention for Domain ClassificationPeisong Huang, Peijie Huang, Wencheng Ai, Jiande Ding, Jinchuan Zhang. 1338-1342 [doi]
- A Unified Bayesian Source Modelling for Determined Blind Source SeparationChaitanya Narisetty. 1343-1347 [doi]
- Recursive Speech Separation for Unknown Number of SpeakersNaoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji. 1348-1352 [doi]
- Practical Applicability of Deep Neural Networks for Overlapping Speaker SeparationPieter Appeltans, Jeroen Zegers, Hugo Van Hamme. 1353-1357 [doi]
- Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture ModelZhaoyi Gu, Jing Lu, Kai Chen. 1358-1362 [doi]
- Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and ClusteringGene-Ping Yang, Chao-I Tuan, Hung-yi Lee, Lin-Shan Lee. 1363-1367 [doi]
- WHAM!: Extending Speech Separation to Noisy EnvironmentsGordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux. 1368-1372 [doi]
- Evaluating Near End Listening Enhancement Algorithms in Realistic EnvironmentsCarol Chermaz, Cassia Valentini-Botinhao, Henning F. Schepker, Simon King. 1373-1377 [doi]
- Improvement and Assessment of Spectro-Temporal Modulation Analysis for Speech Intelligibility EstimationAmin Edraki, Wai-Yip Chan, Jesper Jensen 0001, Daniel Fogerty. 1378-1382 [doi]
- Listener Preference on the Local Criterion for Ideal Binary-Masked SpeechZhuohuang Zhang, Yi Shen. 1383-1387 [doi]
- Using a Manifold Vocoder for Spectral Voice and Style ConversionTuan Dinh, Alexander Kain, Kris Tjaden. 1388-1392 [doi]
- Multi-Span Acoustic Modelling Using Raw Waveform SignalsPatrick von Platen, Chao Zhang, Philip C. Woodland. 1393-1397 [doi]
- An Analysis of Local Monotonic Attention VariantsAndré Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney. 1398-1402 [doi]
- Layer Trajectory BLSTMEric Sun, Jinyu Li, Yifan Gong. 1403-1407 [doi]
- Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model IntegrationShigeki Karita, Nelson Enrique Yalta Soplin, Shinji Watanabe, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani. 1408-1412 [doi]
- Trainable Dynamic Subsampling for End-to-End Speech RecognitionShucong Zhang, Erfan Loweimi, Yumo Xu, Peter Bell 0001, Steve Renals. 1413-1417 [doi]
- Shallow-Fusion End-to-End Contextual BiasingDing Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang. 1418-1422 [doi]
- Modeling Interpersonal Linguistic Coordination in Conversations Using Word Mover's DistanceMd. Nasir, Sandeep Nallan Chakravarthula, Brian R. W. Baucom, David C. Atkins, Panayiotis G. Georgiou, Shrikanth Narayanan. 1423-1427 [doi]
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- Exploiting Monolingual Speech Corpora for Code-Mixed Speech RecognitionKaran Taneja, Satarupa Guha, Preethi Jyothi, Basil Abraham. 2150-2154 [doi]
- Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End ModelsKe Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak. 2155-2159 [doi]
- Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual DataYerbolat Khassanov, Haihua Xu, Van Tung Pham, Zhiping Zeng, Eng Siong Chng, Chongjia Ni, Bin Ma. 2160-2164 [doi]
- On the End-to-End Solution to Mandarin-English Code-Switching Speech RecognitionZhiping Zeng, Yerbolat Khassanov, Van Tung Pham, Haihua Xu, Eng Siong Chng, Haizhou Li 0001. 2165-2169 [doi]
- Towards Language-Universal Mandarin-English Speech RecognitionShiliang Zhang, Yuan Liu, Ming Lei, Bin Ma, Lei Xie. 2170-2174 [doi]
- Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis EmbeddingsPrakhar Swarup, Roland Maas, Sri Garimella, Sri Harish Mallidi, Björn Hoffmeister. 2175-2179 [doi]
- Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech RecognitionShiliang Zhang, Ming Lei, Zhijie Yan. 2180-2184 [doi]
- Improving Performance of End-to-End ASR on Numeric SequencesCal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu. 2185-2189 [doi]
- A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword SpottingYe Bai, Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Zhengkun Tian, Chenghao Zhao, Cunhang Fan. 2190-2194 [doi]
- Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term ClassificationChieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang. 2195-2199 [doi]
- Investigating Radical-Based End-to-End Speech Recognition Systems for Chinese Dialects and JapaneseSheng Li 0010, Xugang Lu, Chenchen Ding, Peng Shen, Tatsuya Kawahara, Hisashi Kawai. 2200-2204 [doi]
- Joint Decoding of CTC Based Systems for Speech RecognitionJiaqi Guo, Yongbin You, Yanmin Qian, Kai Yu 0004. 2205-2209 [doi]
- A Joint End-to-End and DNN-HMM Hybrid Automatic Speech Recognition System with Transferring Sharable KnowledgeTomohiro Tanaka, Ryo Masumura, Takafumi Moriya, Takanobu Oba, Yushi Aono. 2210-2214 [doi]
- Active Learning Methods for Low Resource End-to-End Speech RecognitionKaran Malhotra, Shubham Bansal, Sriram Ganapathy. 2215-2219 [doi]
- Analysis of Multilingual Sequence-to-Sequence Speech Recognition SystemsMartin Karafiát, Murali Karthick Baskar, Shinji Watanabe, Takaaki Hori, Matthew Wiesner, Jan Cernocký. 2220-2224 [doi]
- Lattice Generation in Attention-Based Speech Recognition ModelsMichal Zapotoczny, Piotr Pietrzak, Adrian Lancucki, Jan Chorowski. 2225-2229 [doi]
- Sampling from Stochastic Finite Automata with Applications to CTC DecodingMartin Jansche, Alexander Gutkin. 2230-2234 [doi]
- ShrinkML: End-to-End ASR Model Compression Using Reinforcement LearningLukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane. 2235-2239 [doi]
- Acoustic-to-Phrase Models for Speech RecognitionYashesh Gaur, Jinyu Li, Zhong Meng, Yifan Gong. 2240-2244 [doi]
- Performance Monitoring for End-to-End Speech RecognitionRuizhi Li, Gregory Sell, Hynek Hermansky. 2245-2249 [doi]
- The Role of Musical Experience in the Perceptual Weighting of Acoustic Cues for the Obstruent Coda Voicing Contrast in American EnglishMichelle Cohn, Georgia Zellou, Santiago Barreda. 2250-2254 [doi]
- Individual Differences in Implicit Attention to Phonetic Detail in Speech PerceptionNatalie Lewandowski, Daniel Duran 0001. 2255-2259 [doi]
- Effects of Natural Variability in Cross-Modal Temporal Correlations on Audiovisual Speech Recognition BenefitKaylah Lalonde. 2260-2264 [doi]
- Listening with Great Expectations: An Investigation of Word Form Anticipations in Naturalistic SpeechM. Bentum, Louis ten Bosch, A. Van den Bosch, Mirjam Ernestus. 2265-2269 [doi]
- Quantifying Expectation Modulation in Human Speech ProcessingM. Bentum, Louis ten Bosch, A. Van den Bosch, Mirjam Ernestus. 2270-2274 [doi]
- Perception of Pitch Contours in Speech and NonspeechDaniel R. Turner, Ann R. Bradlow, Jennifer S. Cole. 2275-2279 [doi]
- Analyzing Reaction Time and Error Sequences in Lexical Decision ExperimentsLouis ten Bosch, Lou Boves, Kimberley Mulder. 2280-2284 [doi]
- Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued SpeechLi Liu, Jianze Li, Gang Feng, Xiao-Ping (Steven) Zhang. 2285-2289 [doi]
- Place Shift as an Autonomous Process: Evidence from Japanese ListenersYuriko Yokoe. 2290-2294 [doi]
- A Perceptual Study of CV Syllables in Both Spoken and Whistled Speech: A Tashlhiyt Berber PerspectiveJulien Meyer, Laure Dentel, Silvain Gerber, Rachid Ridouane. 2295-2299 [doi]
- Consonant Classification in Mandarin Based on the Depth Image Feature: A Pilot StudyHan-Chi Hsieh, Wei-Zhong Zheng, Ko-Chiang Chen, Ying-Hui Lai. 2300-2304 [doi]
- The Different Roles of Expectations in Phonetic and Lexical ProcessingShiri Lev-Ari, Robin Dodsworth, Jeff Mielke, Sharon Peperkamp. 2305-2309 [doi]
- Perceptual Adaptation to Device and Human Voices: Learning and Generalization of a Phonetic Shift Across Real and Voice-AI TalkersBruno Ferenc Segedin, Michelle Cohn, Georgia Zellou. 2310-2314 [doi]
- End-to-End Convolutional Sequence Learning for ASL Fingerspelling RecognitionKaterina Papadimitriou, Gerasimos Potamianos. 2315-2319 [doi]
- Multiview Shared Subspace Learning Across Speakers and Speech CommandsKrishna Somandepalli, Naveen Kumar 0004, Arindam Jati, Panayiotis G. Georgiou, Shrikanth Narayanan. 2320-2324 [doi]
- A Machine Learning Based Clustering Protocol for Determining Hearing Aid Initial Configurations from Pure-Tone AudiogramsChelzy Belitz, Hussnain Ali, John H. L. Hansen. 2325-2329 [doi]
- Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data AugmentationTruc Nguyen, Franz Pernkopf. 2330-2334 [doi]
- DeepLung: Smartphone Convolutional Neural Network-Based Inference of Lung Anomalies for Pulmonary PatientsMohsin Y. Ahmed, Md. Mahbubur Rahman, Jilong Kuang. 2335-2339 [doi]
- On the Use/Misuse of the Term 'Phoneme'Roger K. Moore, Lucy Skidmore. 2340-2344 [doi]
- Understanding and Visualizing Raw Waveform-Based CNNsHannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel. 2345-2349 [doi]
- Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement AlgorithmsKevin Kilgour, Mauricio Zuluaga, Dominik Roblek, Matthew Sharifi. 2350-2354 [doi]
- ReMASC: Realistic Replay Attack Corpus for Voice Controlled SystemsYuan Gong, Jian Yang, Jacob Huber, Mitchell MacKnight, Christian Poellabauer. 2355-2359 [doi]
- Analyzing Intra-Speaker and Inter-Speaker Vocal Tract Impedance Characteristics in a Low-Dimensional Feature Space Using t-SNEBalamurali B. T., Jer-Ming Chen. 2360-2363 [doi]
- Directional Audio Rendering Using a Neural Network Based Personalized HRTFGeon Woo Lee, Jung Hyuk Lee, Seong-Ju Kim, Hong Kook Kim. 2364-2365 [doi]
- Online Speech Processing and Analysis SuiteWikus Pienaar, Daan Wissing. 2366-2367 [doi]
- Formant Pattern and Spectral Shape Ambiguity of Vowel Sounds, and Related Phenomena of Vowel Acoustics - Exemplary EvidenceDieter Maurer, Heidy Suter, Christian d'Hereuse, Volker Dellwo. 2368-2369 [doi]
- Sound Tools eXtended (STx) 5.0 - A Powerful Sound Analysis Tool Optimized for SpeechAnton Noll, Jonathan Stuefer, Nicola Klingler, Hannah Leykum, Carina Lozo, Jan Luttenberger, Michael Pucher, Carolin Schmid. 2370-2371 [doi]
- FarSpeech: Arabic Natural Language Processing for Live Arabic SpeechMohamed Eldesouki, Naassih Gopee, Ahmed Ali, Kareem Darwish. 2372-2373 [doi]
- A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted LivingFasih Haider, Saturnino Luz. 2374-2375 [doi]
- NUS Speak-to-Sing: A Web Platform for Personalized Speech-to-Singing ConversionChitralekha Gupta, Karthika Vijayan, Bidisha Sharma, Xiaoxue Gao, Haizhou Li 0001. 2376-2377 [doi]
- The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca ActivityBjörn W. Schuller, Anton Batliner, Christian Bergler, Florian B. Pokorny, Jarek Krajewski, Margaret Cychosz, Ralf Vollmann, Sonja-Dana Roelen, Sebastian Schnieder, Elika Bergelson, Alejandrina Cristià, Amanda Seidl, Anne S. Warlaumont, Lisa Yankowitz, Elmar Nöth, Shahin Amiriparian, Simone Hantke, Maximilian Schmitt. 2378-2382 [doi]
- Using Speech Production Knowledge for Raw Waveform Modelling Based Styrian Dialect IdentificationS. Pavankumar Dubagunta, Mathew Magimai-Doss. 2383-2387 [doi]
- Deep Neural Baselines for Computational ParalinguisticsDaniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, Steffen Illium. 2388-2392 [doi]
- Styrian Dialect Classification: Comparing and Fusing Classifiers Based on a Feature Selection Using a Genetic AlgorithmThomas Kisler, Raphael Winkelmann, Florian Schiel. 2393-2397 [doi]
- Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound RecognitionSung-Lin Yeh, Gao-Yi Chao, Bo-Hao Su, Yu-Lin Huang, Meng-Han Lin, Yin-Chun Tsai, Yu-Wen Tai, Zheng-Chi Lu, Chieh-Yu Chen, Tsung-Ming Tai, Chiu-Wang Tseng, Cheng-Kuang Lee, Chi-Chun Lee. 2398-2402 [doi]
- Ordinal Triplet Loss: Investigating Sleepiness Detection from SpeechPeter Wu, Sai Krishna Rallabandi, Alan W. Black, Eric Nyberg. 2403-2407 [doi]
- Voice Quality and Between-Frame Entropy for Sleepiness EstimationVijay Ravi, Soo-Jin Park, Amber Afshan, Abeer Alwan. 2408-2412 [doi]
- Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca SoundsGábor Gosztolya. 2413-2417 [doi]
- Instantaneous Phase and Long-Term Acoustic Cues for Orca Activity DetectionRohan Kumar Das, Haizhou Li 0001. 2418-2422 [doi]
- Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial IntelligenceDominik Schiller, Tobias Huber, Florian Lingenfelser, Michael Dietz, Andreas Seiderer, Elisabeth André. 2423-2427 [doi]
- Spatial, Temporal and Spectral Multiresolution Analysis for the INTERSPEECH 2019 ComParE ChallengeMarie-José Caraty, Claude Montacié. 2428-2432 [doi]
- The DKU-LENOVO Systems for the INTERSPEECH 2019 Computational Paralinguistic ChallengeHaiwei Wu, Weiqing Wang, Ming Li. 2433-2437 [doi]
- The VOiCES from a Distance Challenge 2019Mahesh Kumar Nandwana, Julien van Hout, Colleen Richey, Mitchell McLaren, Maria Auxiliadora Barrios, Aaron Lawson. 2438-2442 [doi]
- STC Speaker Recognition Systems for the VOiCES from a Distance ChallengeSergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Galina Lavrentyeva, Vladimir Volokhov, Alexandr Kozlov. 2443-2447 [doi]
- Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 ChallengePavel Matejka, Oldrich Plchot, Hossein Zeinali, Ladislav Mosner, Anna Silnova, Lukás Burget, Ondrej Novotný, Ondrej Glembek. 2448-2452 [doi]
- The STC ASR System for the VOiCES from a Distance Challenge 2019Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Ivan Sorokin, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Oleg Petrov, Alexander Zatvornitskiy. 2453-2457 [doi]
- The I2R's ASR System for the VOiCES from a Distance Challenge 2019Tze Yuang Chong, Kye Min Tan, Kah Kuan Teh, Chang Huai You, Hanwu Sun, Tran Huy Dat. 2458-2462 [doi]
- Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field SpeechArindam Jati, Raghuveer Peri, Monisankha Pal, Tae-Jin Park, Naveen Kumar 0004, Ruchir Travadi, Panayiotis G. Georgiou, Shrikanth Narayanan. 2463-2467 [doi]
- The JHU Speaker Recognition System for the VOiCES 2019 ChallengeDavid Snyder, Jesús Villalba, Nanxin Chen, Daniel Povey, Gregory Sell, Najim Dehak, Sanjeev Khudanpur. 2468-2472 [doi]
- Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019Jonathan Huang, Tobias Bocklet. 2473-2477 [doi]
- The I2R's Submission to VOiCES Distance Speaker Recognition Challenge 2019Hanwu Sun, Kah Kuan Teh, Ivan Kukanov, Tran Huy Dat. 2478-2482 [doi]
- The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019Yulong Liang, Lin Yang, Xuyang Wang, Yingjie Li, Chen Jia, Junjie Wang. 2483-2487 [doi]
- The JHU ASR System for VOiCES from a Distance Challenge 2019Yiming Wang, David Snyder, Hainan Xu, Vimal Manohar, Phani Sankar Nidadavolu, Daniel Povey, Sanjeev Khudanpur. 2488-2492 [doi]
- The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance ChallengeDanwei Cai, Xiaoyi Qin, Weicheng Cai, Ming Li. 2493-2497 [doi]
- Identifying Distinctive Acoustic and Spectral Features in Parkinson's DiseaseYermiyahu Hauptman, Ruth Aloni-Lavi, Itshak Lapidot, Tanya Gurevich, Yael Manor, Stav Naor, Noa Diamant, Irit Opher. 2498-2502 [doi]
- Aerodynamics and Lumped-Masses Combined with Delay Lines for Modeling Vertical and Anterior-Posterior Phase Differences in Pathological Vocal Fold VibrationCarlo Drioli, Philipp Aichinger. 2503-2507 [doi]
- Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in SpeechSudarsana Reddy Kadiri, Paavo Alku. 2508-2512 [doi]
- Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural ConversationsSunghye Cho, Mark Liberman, Neville Ryant, Meredith Cola, Robert T. Schultz, Julia Parish-Morris. 2513-2517 [doi]
- Analysis and Synthesis of Vocal Flutter and Vocal JitterJean Schoentgen, Philipp Aichinger. 2518-2522 [doi]
- Reliability of Clinical Voice Parameters Captured with Smartphones - Measurements of Added Noise and Spectral TiltFelix Schaeffler, Stephen Jannetts, Janet Beck. 2523-2527 [doi]
- Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines MakeMeredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan. 2528-2532 [doi]
- Dimensions of Prosodic Prominence in an Attractor ModelSimon Roessig, Doris Mücke, Lena Pagel. 2533-2537 [doi]
- Comparative Analysis of Prosodic Characteristics Using WaveNet EmbeddingsAntti Suni, Marcin Wlodarczak, Martti Vainio, Juraj Simko. 2538-2542 [doi]
- The Role of Voice Quality in the Perception of Prominence in Synthetic SpeechAndy Murphy, Irena Yanushevskaya, Ailbhe Ní Chasaide, Christer Gobl. 2543-2547 [doi]
- Phonological Awareness of French Rising Contours in Japanese LearnersRachel Albar, Hiyon Yoo. 2548-2552 [doi]
- Audio Classification of Bit-Representation WaveformMasaki Okawa, Takuya Saito, Naoki Sawada, Hiromitsu Nishizaki. 2553-2557 [doi]
- Locality-Constrained Linear Coding Based Fused Visual Features for Robust Acoustic Event ClassificationManjunath Mulimani, Shashidhar G. Koolagudi. 2558-2562 [doi]
- Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event DetectionYu-Han Shen, Ke-Xin He, Wei-Qiang Zhang. 2563-2567 [doi]
- A Deep Residual Network for Large-Scale Acoustic Scene AnalysisLogan Ford, Hao Tang, François Grondin, James R. Glass. 2568-2572 [doi]
- Supervised Classifiers for Audio Impairments with Noisy LabelsChandan K. A. Reddy, Ross Cutler, Johannes Gehrke. 2573-2577 [doi]
- Self-Attention for Speech Emotion RecognitionLorenzo Tarantino, Philip N. Garner, Alexandros Lazaridis. 2578-2582 [doi]
- Unsupervised Singing Voice ConversionEliya Nachmani, Lior Wolf. 2583-2587 [doi]
- Adversarially Trained End-to-End Korean Singing Voice Synthesis SystemJuheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee. 2588-2592 [doi]
- Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic ModelingYuan-Hao Yi, Yang Ai, Zhen-Hua Ling, Li-Rong Dai. 2593-2597 [doi]
- Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech SynthesisSara Dahmani, Vincent Colotte, Valérian Girard, Slim Ouni. 2598-2602 [doi]
- A Strategy for Improved Phone-Level Lyrics-to-Audio Alignment for Speech-to-Singing SynthesisDavid Ayllón, Fernando Villavicencio, Pierre Lanchantin. 2603-2607 [doi]
- Modeling Labial Coarticulation with Bidirectional Gated Recurrent Networks and Transfer LearningThéo Biasutto-Lervat, Sara Dahmani, Slim Ouni. 2608-2612 [doi]
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le. 2613-2617 [doi]
- Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech RecognitionKartik Audhkhasi, George Saon, Zoltán Tüske, Brian Kingsbury, Michael Picheny. 2618-2622 [doi]
- Online Hybrid CTC/Attention Architecture for End-to-End Speech Recognition