John H. L. Hansen - researchr alias

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Viewing Publication 1 - 100 from 578

2025

Exploring discrete speech units for privacy-preserving and efficient speech recognition for school-aged and preschool childrenSatwik Dutta, Dwight Irvin, John H. L. Hansen. ijmms, 199:103460, 2025. [doi]

2024

Joint Language and Speaker Classification in Naturalistic Bilingual Adult-Toddler InteractionsSatwik Dutta, Iván López-Espejo, Dwight Irvin, John H. L. Hansen. odyssey 2024: 81-85 [doi]

Enhanced Vehicle Detection System with Advanced Deformation Feature Extraction AlgorithmBin Guo, John H. L. Hansen. itsc 2024: 707-712 [doi]

T-EnFP: An Efficient Transformer Encoder-Based System for Driving Behavior ClassificationBin Guo, John H. L. Hansen. icassp 2024: 6830-6834 [doi]

Fearless Steps Apollo: Team Communications Based Community Resource Development for Science, Technology, Education, and Historical PreservationJohn H. L. Hansen, Aditya Joglekar, Meena M. Chandra Shekar, Szu-Jui Chen, Xi Liu. icassp 2024: 12816-12820 [doi]

Meeting the Challenges of a Growing ICASSP: Highlights from ICASSP 2024 [Conference Highlights]Hanseok Ko, Monson Hayes, John H. L. Hansen. spm, 41(3):6-14, May 2024. [doi]

Monaural Speech Dereverberation Using Deformable Convolutional NetworksVinay Kothapally, John H. L. Hansen. taslp, 32:1712-1723, 2024. [doi]

Situational Signal Processing with Ecological Momentary Assessment: Leveraging Environmental Context for Cochlear Implant UsersTaylor Lawson, John H. L. Hansen. icassp 2024: 2131-2135 [doi]

Dual-Path Minimum-Phase and All-Pass Decomposition Network for Single Channel Speech DereverberationXi Liu, Szu-Jui Chen, John H. L. Hansen. icassp 2024: 1261-1265 [doi]

DNN-based monaural speech enhancement using alternate analysis windows for phase and magnitude modificationXi Liu, John H. L. Hansen. interspeech 2024: [doi]

Speech Enhancement for Cochlear Implant Recipients Using Deep Complex Convolution Transformer With Frequency TransformationNursadul Mamun, John H. L. Hansen. taslp, 32:2616-2629, 2024. [doi]

Efficient Adapter Tuning of Pre-Trained Speech Models for Automatic Speaker VerificationMufan Sang, John H. L. Hansen. icassp 2024: 12131-12135 [doi]

Apollo's Unheard Voices: Graph Attention Networks for Speaker Diarization and Clustering for Fearless Steps Apollo CollectionMeena M. Chandra Shekar, John H. L. Hansen. icassp 2024: 11881-11885 [doi]

Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial ExamplesZhenyu Wang, John H. L. Hansen. access, 12:99894-99911, 2024. [doi]

2023

Domain Expansion for End-to-End Speech Recognition: Applications for Accent/Dialect SpeechShahram Ghorbani, John H. L. Hansen. taslp, 31:762-774, 2023. [doi]

Bilateral Cochlear Implant Processing of Coding Strategies With CCi-MOBILE, an Open-Source Research PlatformRia Ghosh, John H. L. Hansen. taslp, 31:1839-1850, 2023. [doi]

DeepComboSAD: Spectro-Temporal Correlation Based Speech Activity Detection for Naturalistic Audio StreamsAditya Joglekar, John H. L. Hansen. spl, 30:1472-1476, 2023. [doi]

Filterbank Learning for Noise-Robust Small-Footprint Keyword SpottingIván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen 0001, John H. L. Hansen. icassp 2023: 1-5 [doi]

CFTNet: Complex-valued Frequency Transformation Network for Speech EnhancementNursadul Mamun, John H. L. Hansen. interspeech 2023: 809-813 [doi]

Improving Transformer-Based Networks with Locality for Automatic Speaker VerificationMufan Sang, Yong Zhao 0008, Gang Liu 0001, John H. L. Hansen, Jian Wu. icassp 2023: 1-5 [doi]

Assessment of Non-Native Speech Intelligibility using Wav2vec2-based Mispronunciation Detection and Multi-level Goodness of Pronunciation TransformerRam C. M. C. Shekar, Mu Yang, Kevin Hirschi, Stephen D. Looney, Okim Kang, John H. L. Hansen. interspeech 2023: 984-988 [doi]

Speaker Tracking using Graph Attention Networks with Varying Duration Utterances across Multi-Channel Naturalistic Data: Fearless Steps Apollo-11 Audio CorpusMeena M. Chandra Shekar, John H. L. Hansen. interspeech 2023: 1459-1463 [doi]

Historical Audio Search and Preservation: Finding Waldo Within the Fearless Steps Apollo 11 Naturalistic Audio Corpus [Applications Corner]Meena M. Chandra Shekar, John H. L. Hansen. spm, 40(3):30-38, May 2023. [doi]

Attention and DCT Based Global Context Modeling for Text-Independent Speaker RecognitionWei Xia, John H. L. Hansen. taslp, 31:2668-2679, 2023. [doi]

MixRep: Hidden Representation Mixup for Low-Resource Speech RecognitionJiamin Xie, John H. L. Hansen. interspeech 2023: 1304-1308 [doi]

What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification ModelMu Yang, Ram C. M. C. Shekar, Okim Kang, John H. L. Hansen. interspeech 2023: 1923-1927 [doi]

Single-channel speech separation using soft-minimum permutation invariant trainingMidia Yousefi, John H. L. Hansen. speech, 151:76-85, June 2023. [doi]

2022

Challenges in Metadata Creation for Massive Naturalistic Team-Based Audio DataChelzy Belitz, John H. L. Hansen. interspeech 2022: 5210-5214 [doi]

Speaker Trait Enhancement for Cochlear Implant Users: A Case Study for Speaker Emotion PerceptionAvamarie Brueggeman, John H. L. Hansen. interspeech 2022: 2268-2272 [doi]

FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech RecognitionSzu-Jui Chen, Jiamin Xie, John H. L. Hansen. interspeech 2022: 3058-3062 [doi]

Challenges remain in Building ASR for Spontaneous Preschool Children Speech in Naturalistic Educational EnvironmentsSatwik Dutta, Sarah Anne Tao, Jacob C. Reyna, Rebecca Elizabeth Hacker, Dwight W. Irvin, Jay F. Buzhardt, John H. L. Hansen. interspeech 2022: 4322-4326 [doi]

Bimodal Cochlear Implant Processing based on Assisted Hearing algorithms with CCi-MOBILE: an open-source research platformRia Ghosh, John H. L. Hansen. embc 2022: 4265-4268 [doi]

CCi-MOBILE: A Portable Real Time Speech Processing Platform for Cochlear Implant and Hearing ResearchRia Ghosh, Hussnain Ali, John H. L. Hansen. tbe, 69(3):1251-1263, 2022. [doi]

Audio Anti-spoofing Using Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learningJohn H. L. Hansen, Zhenyu Wang. interspeech 2022: 376-380 [doi]

Complex-Valued Time-Frequency Self-Attention for Speech DereverberationVinay Kothapally, John H. L. Hansen. interspeech 2022: 2543-2547 [doi]

SkipConvGAN: Monaural Speech Dereverberation Using Generative Adversarial Networks via Complex Time-Frequency MaskingVinay Kothapally, John H. L. Hansen. taslp, 30:1600-1613, 2022. [doi]

Assessing child communication engagement and statistical speech patterns for American English via speech recognition in naturalistic active learning spacesRasa Lileikyte, Dwight Irvin, John H. L. Hansen. speech, 140:98-108, 2022. [doi]

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case StudyYongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen. tiv, 7(2):210-220, 2022. [doi]

Deep Spoken Keyword Spotting: An OverviewIván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen 0001. access, 10:4169-4199, 2022. [doi]

Speech Modification for Intelligibility in Cochlear Implant Listeners: Individual Effects of Vowel- and Consonant-BoostingJuliana N. Saba, John H. L. Hansen. interspeech 2022: 5473-5477 [doi]

Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation LearningMufan Sang, John H. L. Hansen. interspeech 2022: 321-325 [doi]

Multi-Source Domain Adaptation for Text-Independent Forensic Speaker RecognitionZhenyu Wang, John H. L. Hansen. taslp, 30:60-75, 2022. [doi]

DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech RecognitionJiamin Xie, John H. L. Hansen. interspeech 2022: 1392-1396 [doi]

Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility AssessmentMu Yang, Kevin Hirschi, Stephen Daniel Looney, Okim Kang, John H. L. Hansen. interspeech 2022: 4481-4485 [doi]

2021

An investigation of domain adaptation in speaker embedding space for speaker recognitionFahimeh Bahmaninezhad, Chunlei Zhang, John H. L. Hansen. speech, 129:7-16, 2021. [doi]

Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 CorporaSzu-Jui Chen, Wei Xia, John H. L. Hansen. asru 2021: 289-295 [doi]

Nonlinear waveform distortion: Assessment and detection of clipping on speech data and systemsJohn H. L. Hansen, Allen R. Stauffer, Wei Xia. speech, 134:20-31, 2021. [doi]

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio DataKazi Nazmul Haque, Rajib Rana, Jiajun Liu, John H. L. Hansen, Nicholas Cummins, Carlos Busso, Björn W. Schuller. taslp, 29:2575-2590, 2021. [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. interspeech 2021: 986-990 [doi]

Analysis and Calibration of Lombard Effect and Whisper for Speaker RecognitionFinnian Kelly, John H. L. Hansen. taslp, 29:927-942, 2021. [doi]

Measuring Frequency of Child-directed WH-Question Words for Alternate Preschool Locations using Speech Recognition and Location Tracking TechnologiesPrasanna V. Kothalkar, Sathvik Datla, Satwik Dutta, John H. L. Hansen, Yagmur Seven, Dwight Irvin, Jay Buzhardt. icmi 2021: 414-418 [doi]

Curriculum Learning based approaches for robust end-to-end far-field speech recognitionShivesh Ranjan, John H. L. Hansen. speech, 132:123-131, 2021. [doi]

DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation LearningMufan Sang, Wei Xia, John H. L. Hansen. icassp 2021: 6169-6173 [doi]

Development of CNN-Based Cochlear Implant and Normal Hearing Sound Recognition Models Using Natural and Auralized Environmental AudioRam C. M. C. Shekar, Chelzy Belitz, John H. L. Hansen. slt 2021: 728-733 [doi]

Challenges in real-time-embedded IoT Command RecognitionHazem Younis, John H. L. Hansen. wf-iot 2021: 848-851 [doi]

Speaker Conditioning of Acoustic Models Using Affine Transformation for Multi-Speaker Speech RecognitionMidia Yousefi, John H. L. Hansen. asru 2021: 283-288 [doi]

Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural NetworkMidia Yousefi, John H. L. Hansen. interspeech 2021: 1484-1488 [doi]

Block-Based High Performance CNN Architectures for Frame-Level Overlapping Speech DetectionMidia Yousefi, John H. L. Hansen. taslp, 29:28-40, 2021. [doi]

2020

Effect of Spectral Complexity Reduction and Number of Instruments on Musical Enjoyment with Cochlear ImplantsAvamarie Brueggeman, John H. L. Hansen. interspeech 2020: 4636-4640 [doi]

Portable Smart-Space Research Interface to Predetermine Environment Acoustics for Cochlear implant and Hearing aid users with CCi-MOBILERia Ghosh, Ram Charan Chandra Shekar, John H. L. Hansen. embc 2020: 4221-4224 [doi]

Mobile-Assisted Prosody Training for Limited English Proficiency: Learner Background and Speech Learning PatternKevin Hirschi, Okim Kang, Catia Cucchiarini, John H. L. Hansen, Keelan Evanini, Helmer Strik. interspeech 2020: 4452-4456 [doi]

FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo DataAditya Joglekar, John H. L. Hansen, Meena Chandra Shekhar, Abhijeet Sangwan. interspeech 2020: 2617-2621 [doi]

SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation Using Optimally Smoothed Spectral MappingVinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang 0019. interspeech 2020: 3935-3939 [doi]

Assessing Child Communication Engagement via Speech Recognition in Naturalistic Active Learning SpacesRasa Lileikyte, Dwight Irvin, John H. L. Hansen. odyssey 2020: 396-401 [doi]

Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent VehiclesYongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen. ivs 2020: 182-187 [doi]

Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive BiasMufan Sang, Wei Xia, John H. L. Hansen. interspeech 2020: 2262-2266 [doi]

A multi-view approach for Mandarin non-native mispronunciation verificationZhenyu Wang, John H. L. Hansen, Yanlu Xie. icassp 2020: 8079-8083 [doi]

Cross-Domain Adaptation with Discrepancy Minimization for Text-Independent Forensic Speaker VerificationZhenyu Wang, Wei Xia, John H. L. Hansen. interspeech 2020: 2257-2261 [doi]

Speaker Representation Learning Using Global Context Guided Channel and Time-Frequency TransformationsWei Xia, John H. L. Hansen. interspeech 2020: 3226-3230 [doi]

Frame-Based Overlapping Speech Detection Using Convolutional Neural NetworksMidia Yousefi, John H. L. Hansen. icassp 2020: 6744-6748 [doi]

2019

Exploring the Intersection Between Speaker Verification and Emotion RecognitionMichelle Bancroft, Reza Lotfian, John H. L. Hansen, Carlos Busso. acii 2019: 337-342 [doi]

A Machine Learning Based Clustering Protocol for Determining Hearing Aid Initial Configurations from Pure-Tone AudiogramsChelzy Belitz, Hussnain Ali, John H. L. Hansen. interspeech 2019: 2325-2329 [doi]

Transfer Learning Using Raw Waveform Sincnet for Robust Speaker DiarizationHarishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen. icassp 2019: 6296-6300 [doi]

Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio StreamsHarishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen. interspeech 2019: 416-420 [doi]

Domain Expansion in DNN-Based Acoustic Models for Robust Speech RecognitionShahram Ghorbani, Soheil Khorram, John H. L. Hansen. asru 2019: 107-113 [doi]

CCi-MOBILE: Design and Evaluation of a Cochlear Implant and Hearing Aid Research Platform for Speech Scientists and EngineersJohn H. L. Hansen, Hussnain Ali, Juliana N. Saba, M. C. Ram Charan, Nursadul Mamun, Ria Ghosh, Avamarie Brueggeman. bhi 2019: 1-4 [doi]

The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic AudioJohn H. L. Hansen, Aditya Joglekar, Meena Chandra Shekhar, Vinay Kothapally, Chengzhu Yu, Lakshmish Kaushik, Abhijeet Sangwan. interspeech 2019: 1851-1855 [doi]

Speech and language processing for assessing child-adult interaction based on diarization and locationJohn H. L. Hansen, Maryam Najafian, Rasa Lileikyte, Dwight Irvin, Beth S. Rous. ijst, 22(3):697-709, 2019. [doi]

Analyzing Large Receptive Field Convolutional Networks for Distant Speech RecognitionSalar Jafarlou, Soheil Khorram, Vinay Kothapally, John H. L. Hansen. asru 2019: 252-259 [doi]

Tagging child-adult interactions in naturalistic, noisy, daylong school environments using i-vector based diarization systemPrasanna V. Kothalkar, Dwight Irvin, Ying Luo, Joanne Rojas, John Nash, Beth S. Rous, John H. L. Hansen. slte 2019: 89-93 [doi]

Towards Complexity Level Classification of Driving Scenarios Using Environmental InformationYongkang Liu, John H. L. Hansen. itsc 2019: 810-815 [doi]

Quantifying Cochlear Implant Users' Ability for Speaker Identification Using CI Auditory StimuliNursadul Mamun, Ria Ghosh, John H. L. Hansen. interspeech 2019: 3118-3122 [doi]

Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant RecipientsNursadul Mamun, Soheil Khorram, John H. L. Hansen. interspeech 2019: 4265-4269 [doi]

Multi-domain adversarial training of neural network acoustic models for distant speech recognitionSeyedmahdad Mirsamadi, John H. L. Hansen. speech, 106:21-30, 2019. [doi]

Adversarial Regularization for End-to-End Robust Speaker VerificationQing Wang, Pengcheng Guo, Sining Sun, Lei Xie, John H. L. Hansen. interspeech 2019: 4010-4014 [doi]

Cross-lingual Text-independent Speaker Verification Using Unsupervised Adversarial Discriminative Domain AdaptationWei Xia, Jing Huang, John H. L. Hansen. icassp 2019: 5816-5820 [doi]

Probabilistic Permutation Invariant Training for Speech SeparationMidia Yousefi, Soheil Khorram, John H. L. Hansen. interspeech 2019: 4604-4608 [doi]

Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask TransferEkim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen. itsc 2019: 3100-3107 [doi]

UTD-CRSS Systems for 2018 NIST Speaker Recognition EvaluationChunlei Zhang, Fahimeh Bahmaninezhad, Shivesh Ranjan, Harishchandra Dubey, Wei Xia, John H. L. Hansen. icassp 2019: 5776-5780 [doi]

Semi-supervised Learning with Generative Adversarial Networks for Arabic Dialect IdentificationChunlei Zhang, Qian Zhang, John H. L. Hansen. icassp 2019: 5986-5990 [doi]

2018

Compensation for Domain Mismatch in Text-independent Speaker RecognitionFahimeh Bahmaninezhad, John H. L. Hansen. interspeech 2018: 1071-1075 [doi]

Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio StreamsHarishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen. interspeech 2018: 3603-3607 [doi]

Robust Feature Clustering for Unsupervised Speech Activity DetectionHarishchandra Dubey, Abhijeet Sangwan, John H. L. Hansen. icassp 2018: 2726-2730 [doi]

Advancing Multi-Accented Lstm-CTC Speech Recognition Using a Domain Specific Student-Teacher Learning ParadigmShahram Ghorbani, Ahmet Emin Bulut, John H. L. Hansen. slt 2018: 29-35 [doi]

Leveraging Native Language Information for Improved Accented Speech RecognitionShahram Ghorbani, John H. L. Hansen. interspeech 2018: 2449-2453 [doi]

Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the MoonJohn H. L. Hansen, Abhijeet Sangwan, Aditya Joglekar, Ahmet Emin Bulut, Lakshmish Kaushik, Chengzhu Yu. interspeech 2018: 2758-2762 [doi]

Fusing Text-dependent Word-level i-Vector Models to Screen 'at Risk' Child SpeechPrasanna V. Kothalkar, Johanna Rudolph, Christine Dollaghan, Jennifer McGlothlin, Thomas F. Campbell, John H. L. Hansen. interspeech 2018: 1681-1685 [doi]

Automatic Screening to Detect 'At Risk' Child Speech Samples using a Clinical Group Verification frameworkPrasanna V. Kothalkar, Johanna Rudolph, Christine Dollaghan, Jennifer McGlothlin, Thomas F. Campbell, John H. L. Hansen. embc 2018: 4909-4913 [doi]

Testing Paradigms for Assistive Hearing Devices in Diverse Acoustic EnvironmentsRam Charan Chandra Shekar, Hussnain Ali, John H. L. Hansen. interspeech 2018: 1686-1690 [doi]

Assessing Speaker Engagement in 2-Person Debates: Overlap Detection in United States Presidential DebatesMidia Yousefi, Navid Shokouhi, John H. L. Hansen. interspeech 2018: 2117-2121 [doi]

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