Speaker Verification in Noisy Environment Using Missing Feature Approach. - Dayana Ribas; Jesús Antonio Villalba López; Eduardo Lleida; José R. Calvo (CIARP, 2010)

Confidence measures for speaker segmentation and their relation to speaker verification. - Carlos Vaquero; Alfonso Ortega 001; Jesús Antonio Villalba López; Antonio Miguel; Eduardo Lleida (INTERSPEECH, 2010)

Multi-site heterogeneous system fusions for the Albayzin 2010 Language Recognition Evaluation. - Luis Javier Rodríguez; Mikel Peñagarikano; Amparo Varona; Mireia Díez; Germán Bordel; David Martínez González; Jesús Antonio Villalba López; Antonio Miguel; Alfonso Ortega 001; Eduardo Lleida; Alberto Abad; Oscar Koller; et al. (ASRU, 2011)

Detecting Replay Attacks from Far-Field Recordings on Speaker Verification Systems. - Jesús Antonio Villalba López; Eduardo Lleida (BIOID, 2011)

Preventing replay attacks on speaker verification systems. - Jesús Villalba 001; Eduardo Lleida (ICCST, 2011)

Hierarchical Audio Segmentation with HMM and Factor Analysis in Broadcast News Domain. - Diego Castán; Carlos Vaquero; Alfonso Ortega 001; David Martínez González; Jesús Antonio Villalba López; Eduardo Lleida (INTERSPEECH, 2011)

I3A Language Recognition System for Albayzin 2010 LRE. - David Martínez González; Jesús Antonio Villalba López; Antonio Miguel; Alfonso Ortega 001; Eduardo Lleida (INTERSPEECH, 2011)

Towards Fully Bayesian Speaker Recognition: Integrating Out the Between-Speaker Covariance. - Jesús Antonio Villalba López; Niko Brümmer (INTERSPEECH, 2011)

Speaker Verification On Summed-Channel Conditions With Confidence Measures. - Carlos Vaquero Avilés Casco; Jesús Antonio Villalba López; Alfonso Ortega Giménez; Eduardo Lleida-Solano (Computación y Sistemas, 2011)

Voice Pathology Detection on the Saarbrücken Voice Database with Calibration and Fusion of Scores Using MultiFocal Toolkit. - David Martínez González; Eduardo Lleida; Alfonso Ortega 001; Antonio Miguel; Jesús Antonio Villalba López (IberSPEECH, 2012)

Reliability Estimation of the Speaker Verification Decisions Using Bayesian Networks to Combine Information from Multiple Speech Quality Measures. - Jesús Antonio Villalba López; Eduardo Lleida; Alfonso Ortega 001; Antonio Miguel (IberSPEECH, 2012)

The BLZ Submission to the NIST 2011 LRE: Data Collection, System Development and Performance. - Luis Javier Rodríguez-Fuentes; Mikel Peñagarikano; Amparo Varona; Mireia Díez; Germán Bordel; Alberto Abad; David Martínez González; Jesús Antonio Villalba López; Alfonso Ortega 001; Eduardo Lleida (INTERSPEECH, 2012)

Bayesian adaptation of PLDA based speaker recognition to domains with scarce development data. - Jesús Antonio Villalba López; Eduardo Lleida (Odyssey, 2012)

Segmentation-by-classification system based on factor analysis. - Diego Castán; Alfonso Ortega 001; Jesús Antonio Villalba López; Antonio Miguel; Eduardo Lleida (ICASSP, 2013)

Handling i-vectors from different recording conditions using multi-channel simplified PLDA in speaker recognition. - Jesús Antonio Villalba López; Eduardo Lleida (ICASSP, 2013)

A new Bayesian network to assess the reliability of speaker verification decisions. - Jesús Antonio Villalba López; Eduardo Lleida; Alfonso Ortega 001; Antonio Miguel (INTERSPEECH, 2013)

The I3a speaker recognition system for NIST SRE12: post-evaluation analysis. - Jesús Antonio Villalba López; Eduardo Lleida; Alfonso Ortega 001; Antonio Miguel (INTERSPEECH, 2013)

Handling recordings acquired simultaneously over multiple channels with PLDA. - Jesús Antonio Villalba López; Mireia Díez; Amparo Varona; Eduardo Lleida (INTERSPEECH, 2013)

Unsupervised Accent Modeling for Language Identification. - David Martínez González; Jesús Antonio Villalba López; Eduardo Lleida-Solano; Alfonso Ortega Giménez (IberSPEECH, 2014)

Unsupervised Training of PLDA with Variational Bayes. - Jesús Antonio Villalba López; Eduardo Lleida (IberSPEECH, 2014)

Unsupervised adaptation of PLDA by using variational Bayes methods. - Jesús Antonio Villalba López; Eduardo Lleida (ICASSP, 2014)

Factor analysis with sampling methods for text dependent speaker recognition. - Antonio Miguel; Jesús Antonio Villalba López; Alfonso Ortega 001; Eduardo Lleida; Carlos Vaquero (INTERSPEECH, 2014)

Variational Bayesian PLDA for speaker diarization in the MGB challenge. - Jesús Antonio Villalba López; Alfonso Ortega 001; Antonio Miguel; Eduardo Lleida (ASRU, 2015)

Spoofing detection with DNN and one-class SVM for the ASVspoof 2015 challenge. - Jesús Antonio Villalba López; Antonio Miguel; Alfonso Ortega 001; Eduardo Lleida (INTERSPEECH, 2015)

Bottleneck Based Front-End for Diarization Systems. - Ignacio Viñals; Jesús Antonio Villalba López; Alfonso Ortega 001; Antonio Miguel; Eduardo Lleida (IberSPEECH, 2016)

Analysis of speech quality measures for the task of estimating the reliability of speaker verification decisions. - Jesús Antonio Villalba López; Alfonso Ortega 001; Antonio Miguel; Eduardo Lleida (Speech Commun., 2016)

Bayesian Networks to Model the Variability of Speaker Verification Scores in Adverse Environments. - Jesús Antonio Villalba López; Antonio Miguel; Alfonso Ortega 001; Eduardo Lleida (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Tied Variational Autoencoder Backends for i-Vector Speaker Recognition. - Jesús Villalba 001; Niko Brümmer; Najim Dehak (INTERSPEECH, 2017)

Domain Adaptation of PLDA Models in Broadcast Diarization by Means of Unsupervised Speaker Clustering. - Ignacio Viñals; Alfonso Ortega 001; Jesús Antonio Villalba López; Antonio Miguel; Eduardo Lleida (INTERSPEECH, 2017)

JHU Diarization System Description. - Zili Huang; L. Paola García-Perera; Jesús Villalba 001; Daniel Povey; Najim Dehak (IberSPEECH, 2018)

Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech. - Nanxin Chen; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (ICASSP, 2018)

Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification. - Raghavendra Pappagari; Jesús Villalba 001; Najim Dehak (ICASSP, 2018)

An Investigation of Non-linear i-vectors for Speaker Verification. - Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2018)

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. - Jaejin Cho; Raghavendra Pappagari; Purva Kulkarni; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2018)

Effectiveness of Single-Channel BLSTM Enhancement for Language Identification. - Peter Sibbern Frederiksen; Jesús Villalba 001; Shinji Watanabe 001; Zheng-Hua Tan; Najim Dehak (INTERSPEECH, 2018)

End-to-end Deep Neural Network Age Estimation. - Pegah Ghahremani; Phani Sankar Nidadavolu; Nanxin Chen; Jesús Villalba 001; Daniel Povey; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2018)

Investigation on Bandwidth Extension for Speaker Recognition. - Phani Sankar Nidadavolu; Cheng-I Lai; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2018)

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. - Gregory Sell; David Snyder; Alan McCree; Daniel Garcia-Romero; Jesús Villalba 001; Matthew Maciejewski; Vimal Manohar; Najim Dehak; Daniel Povey; Shinji Watanabe 001; Sanjeev Khudanpur (INTERSPEECH, 2018)

End-to-End versus Embedding Neural Networks for Language Recognition in Mismatched Conditions. - Jesús Antonio Villalba López; Niko Brummer; Najim Dehak (Odyssey, 2018)

The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. - Fred Richardson; Pedro A. Torres-Carrasquillo; Jonas Borgstrom; Douglas E. Sturim; Youngjune Gwon; Jesús Villalba 001; Jan Trmal; Nanxin Chen; Réda Dehak; Najim Dehak (Odyssey, 2018)

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jesús Villalba 001; Juan Rafael Orozco-Arroyave; Najim Dehak (Appl. Soft Comput., 2018)

Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans. - Phani Sankar Nidadavolu; Saurabh Kataria 001; Jesús Villalba 001; Najim Dehak (ASRU, 2019)

Hierarchical Transformers for Long Document Classification. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (ASRU, 2019)

Bottom-Up Unsupervised Word Discovery via Acoustic Units. - Saurabhchand Bhati; Chunxi Liu; Jesús Villalba 001; Jan Trmal; Sanjeev Khudanpur; Najim Dehak (GlobalSIP, 2019)

LSTM Siamese Network for Parkinson's Disease Detection from Speech. - Saurabhchand Bhati; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (GlobalSIP, 2019)

Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. - Jaejin Cho; Shinji Watanabe 001; Takaaki Hori; Murali Karthick Baskar; Hirofumi Inaguma; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition. - Phani Sankar Nidadavolu; Vicente Iglesias; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker Recognition. - Phani Sankar Nidadavolu; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

Tied Mixture of Factor Analyzers Layer to Combine Frame Level Representations in Neural Speaker Embeddings. - Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2019)

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks. - Cheng-I Lai; Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2019)

The JHU Speaker Recognition System for the VOiCES 2019 Challenge. - David Snyder; Jesús Villalba 001; Nanxin Chen; Daniel Povey; Gregory Sell; Najim Dehak; Sanjeev Khudanpur (INTERSPEECH, 2019)

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. - Jesús Villalba 001; Nanxin Chen; David Snyder; Daniel Garcia-Romero; Alan McCree; Gregory Sell; Jonas Borgstrom; Fred Richardson; Suwon Shon; François Grondin; Réda Dehak; Leibny Paola García-Perera; et al. (INTERSPEECH, 2019)

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jesús Villalba 001; Jan Rusz; Stefanie Shattuck-Hufnagel; Najim Dehak (Biomed. Signal Process. Control., 2019)

Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition. - Nanxin Chen; Shinji Watanabe 001; Jesús Villalba 001; Najim Dehak (CoRR, 2019)

Feature Enhancement with Deep Feature Losses for Speaker Verification. - Saurabh Kataria 001; Phani Sankar Nidadavolu; Jesús Villalba 001; Nanxin Chen; L. Paola García-Perera; Najim Dehak (ICASSP, 2020)

Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. - Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (ICASSP, 2020)

Unsupervised Feature Enhancement for Speaker Verification. - Phani Sankar Nidadavolu; Saurabh Kataria 001; Jesús Villalba 001; L. Paola García-Perera; Najim Dehak (ICASSP, 2020)

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. - Raghavendra Pappagari; Tianzi Wang; Jesús Villalba 001; Nanxin Chen; Najim Dehak (ICASSP, 2020)

Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (INTERSPEECH, 2020)

Learning Speaker Embedding from Text-to-Speech. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Shinji Watanabe 001; Najim Dehak (INTERSPEECH, 2020)

x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification. - Jesús Villalba 001; Yuekai Zhang; Najim Dehak (INTERSPEECH, 2020)

Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples. - Yuekai Zhang; Ziyan Jiang; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2020)

Speaker Detection in the Wild: Lessons Learned from JSALT 2019. - Leibny Paola García-Perera; Jesús Villalba 001; Hervé Bredin; Jun Du 002; Diego Castán; Alejandrina Cristià; Latané Bullock; Ling Guo; Koji Okabe; Phani Sankar Nidadavolu; Saurabh Kataria 001; Sizhu Chen; et al. (Odyssey, 2020)

Analysis of Deep Feature Loss Based Enhancement for Speaker Verification. - Saurabh Kataria 001; Phani Sankar Nidadavolu; Jesús Villalba 001; Najim Dehak (Odyssey, 2020)

Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19. - Jesús Antonio Villalba López; Daniel Garcia-Romero; Nanxin Chen; Gregory Sell; Jonas Borgstrom; Alan McCree; Leibny Paola García-Perera; Saurabh Kataria 001; Phani Sankar Nidadavolu; Pedro Torres-Carrasquiilo; Najim Dehak (Odyssey, 2020)

Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild. - Phani Sankar Nidadavolu; Saurabh Kataria 001; L. Paola García-Perera; Jesús Villalba 001; Najim Dehak (CoRR, 2020)

Frustratingly Easy Noise-aware Training of Acoustic Models. - Desh Raj; Jesús Villalba 001; Daniel Povey; Sanjeev Khudanpur (CoRR, 2020)

State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations. - Jesús Villalba 001; Nanxin Chen; David Snyder; Daniel Garcia-Romero; Alan McCree; Gregory Sell; Jonas Borgstrom; Leibny Paola García-Perera; Fred Richardson; Réda Dehak; Pedro A. Torres-Carrasquillo; Najim Dehak (Comput. Speech Lang., 2020)

Beyond Isolated Utterances: Conversational Emotion Recognition. - Raghavendra Pappagari; Piotr Zelasko; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ASRU, 2021)

Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. - Nanxin Chen; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised Models. - Saurabh Kataria 001; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

CopyPaste: An Augmentation Method for Speech Emotion Recognition. - Raghavendra Pappagari; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 2021)

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. - Nanxin Chen; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (Interspeech, 2021)

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. - Raghavendra Pappagari; Jaejin Cho; Sonal Joshi; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. - Magdalena Rybicka; Jesús Villalba 001; Piotr Zelasko; Najim Dehak; Konrad Kowalczyk (Interspeech, 2021)

Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems. - Jesús Villalba 001; Sonal Joshi; Piotr Zelasko; Najim Dehak (Interspeech, 2021)

Invariant Representation Learning for Robust Far-Field Speaker Recognition. - Aviad Shtrosberg; Jesús Villalba 001; Najim Dehak; Azaria Cohen; Bar Ben-Yair (SLSP, 2021)

Adversarial Attacks and Defenses for Speaker Identification Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (CoRR, 2021)

Adversarial Attacks and Defenses for Speech Recognition Systems. - Piotr Zelasko; Sonal Joshi; Yiwen Shao; Jesús Villalba 001; Jan Trmal; Najim Dehak; Sanjeev Khudanpur (CoRR, 2021)

The JHU submission to VoxSRC-21: Track 3. - Jaejin Cho; Jesús Villalba 001; Najim Dehak (CoRR, 2021)

Non-Autoregressive Transformer for Speech Recognition. - Nanxin Chen; Shinji Watanabe 001; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (IEEE Signal Process. Lett., 2021)

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems. - Sonal Joshi; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE Trans. Inf. Forensics Secur., 2021)

Non-contrastive self-supervised learning of utterance-level speech representations. - Jaejin Cho; Raghavendra Pappagari; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser. - Sonal Joshi; Saurabh Kataria 001; Yiwen Shao; Piotr Zelasko; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2022)

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification. - Sonal Joshi; Saurabh Kataria 001; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (INTERSPEECH, 2022)

End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based Attractors. - Magdalena Rybicka; Jesús Villalba 001; Najim Dehak; Konrad Kowalczyk (INTERSPEECH, 2022)

Chunking Defense for Adversarial Attacks on ASR. - Yiwen Shao; Jesús Villalba 001; Sonal Joshi; Saurabh Kataria 001; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2022)

Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge. - Jesús Villalba 001; Bengt J. Borgstrom; Saurabh Kataria 001; Jaejin Cho; Pedro A. Torres-Carrasquillo; Najim Dehak (Odyssey, 2022)

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21. - Jesús Villalba 001; Bengt J. Borgstrom; Saurabh Kataria 001; Magdalena Rybicka; Carlos D. Castillo; Jaejin Cho; L. Paola García-Perera; Pedro A. Torres-Carrasquillo; Najim Dehak (Odyssey, 2022)

Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics. - Tianyu Cao 003; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (SLT, 2022)

A Multi-Modal Array of Interpretable Features to Evaluate Language and Speech Patterns in Different Neurological Disorders. - Anna Favaro; Chelsie Motley; Tianyu Cao 003; Miguel Iglesias; Ankur A. Butala; Esther S. Oh; Robert D. Stevens 002; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (SLT, 2022)

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser. - Sonal Joshi; Saurabh Kataria 001; Yiwen Shao; Piotr Zelasko; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (CoRR, 2022)

Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. - Jaejin Cho; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (IEEE J. Sel. Top. Signal Process., 2022)

Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive Coding. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Model-Based Fairness Metric for Speaker Verification. - Maliha Jahan; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak; Jesús Villalba 001 (ASRU, 2023)

Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning Attacks. - Martin Sustek; Sonal Joshi; Henry Li; Thomas Thebaud; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (ASRU, 2023)

Clustering Unsupervised Representations as Defense Against Poisoning Attacks on Speech Commands Classification System. - Thomas Thebaud; Sonal Joshi; Henry Li; Martin Sustek; Jesús Villalba 001; Sanjeev Khudanpur; Najim Dehak (ASRU, 2023)

Advances in Language Recognition in Low Resource African Languages: The JHU-MIT Submission for NIST LRE22. - Jesús Villalba 001; Jonas Borgstrom; Maliha Jahan; Saurabh Kataria 001; Leibny Paola García; Pedro A. Torres-Carrasquillo; Najim Dehak (INTERSPEECH, 2023)

Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2023)

Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora? - Anna Favaro; Tianyu Cao 003; Thomas Thebaud; Jesús Villalba 001; Ankur A. Butala; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2023)

Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2023)

DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model. - Helin Wang; Thomas Thebaud; Jesús Villalba 001; Myra Sydnor; Becky Lammers; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2023)

Stabilized training of joint energy-based models and their practical applications. - Martin Sustek; Samik Sadhu; Lukás Burget; Hynek Hermansky; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (CoRR, 2023)

Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning. - Saurabhchand Bhati; Jesús Villalba 001; Laureano Moro-Velázquez; Thomas Thebaud; Najim Dehak (CoRR, 2023)

Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios. - Anna Favaro; Yi-Ting Tsai; Ankur A. Butala; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (Comput. Biol. Medicine, 2023)

Multimodal Emotion Recognition Harnessing the Complementarity of Speech, Language, and Vision. - Thomas Thebaud; Anna Favaro; Yaohan Guan; Yuchen Yang; Prabhav Singh; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (ICMI, 2024)

Noise-robust Speech Separation with Fast Generative Correction. - Helin Wang; Jesús Villalba 001; Laureano Moro-Velázquez; Jiarui Hai; Thomas Thebaud; Najim Dehak (INTERSPEECH, 2024)

Exploring the Complementary Nature of Speech and Eye Movements for Profiling Neurological Disorders. - Yuzhe Wang; Anna Favaro; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2024)

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing. - Yen-Ju Lu; Jing Liu; Thomas Thebaud; Laureano Moro-Velázquez; Ariya Rastrow; Najim Dehak; Jesús Villalba 001 (NeurIPS, 2024)

Towards Speech Processing Robust to Adversarial Deceptions. - Jesús Villalba 001 (Odyssey, 2024)

Discovering Invariant Patterns of Cognitive Decline Via an Automated Analysis of the Cookie Thief Picture Description Task. - Anna Favaro; Najim Dehak; Thomas Thebaud; Jesús Villalba 001; Esther S. Oh; Laureano Moro-Velázquez (Odyssey, 2024)

Unraveling Adversarial Examples against Speaker Identification - Techniques for Attack Detection and Victim Model Classification. - Sonal Joshi; Thomas Thebaud; Jesús Villalba 001; Najim Dehak (Odyssey, 2024)

Clean Label Attacks Against SLU Systems. - Henry Li Xinyuan; Sonal Joshi; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Sanjeev Khudanpur (SLT, 2024)

Slowness Regularized Contrastive Predictive Coding for Acoustic Unit Discovery. - Saurabhchand Bhati; Jesús Villalba 001; Piotr Zelasko; Laureano Moro-Velázquez; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification. - Saurabh Kataria 001; Jesús Villalba 001; Laureano Moro-Velázquez; Piotr Zelasko; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

End-to-End Neural Speaker Diarization With Non-Autoregressive Attractors. - Magdalena Rybicka; Jesús Villalba 001; Thomas Thebaud; Najim Dehak; Konrad Kowalczyk (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Automating the analysis of eye movement for different neurodegenerative disorders. - Deming Li; Ankur A. Butala; Laureano Moro-Velázquez; Trevor Meyer 001; Esther S. Oh; Chelsey Motley; Jesús Villalba 001; Najim Dehak (Comput. Biol. Medicine, 2024)

Unveiling Performance Bias in ASR Systems: A Study on Gender, Age, Accent, and More. - Maliha Jahan; Priyam Mazumdar; Thomas Thebaud; Mark Hasegawa-Johnson; Jesús Villalba 001; Najim Dehak; Laureano Moro-Velázquez (ICASSP, 2025)

Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings. - Sarah Laouedj; Yuzhe Wang; Jesús Villalba 001; Thomas Thebaud; Laureano Moro-Velázquez; Najim Dehak (ICASSP, 2025)

FaiST: A Benchmark Dataset for Fairness in Speech Technology. - Maliha Jahan; Yinglun Sun; Priyam Mazumdar; Zsuzsanna Fagyal; Thomas Thebaud; Jesús Villalba 001; Mark Hasegawa-Johnson; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 2025)

EmoJudge: LLM Based Post-Hoc Refinement for Multimodal Speech Emotion Recognition. - Prabhav Singh; Jesús Villalba 001 (INTERSPEECH, 2025)

Count Your Speakers! Multitask Learning for Multimodal Speaker Diarization. - Prabhav Singh; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2025)

Multimodal Emotion Diarization: Frame-Wise Integration of Text and Audio Representations. - Ziv Tamir; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Oren Kurland (INTERSPEECH, 2025)

Joint Diarization and Separation Using SepFormer With Non-Autoregressive Attractors. - Magdalena Rybicka; Konrad Kowalczyk; Thomas Thebaud; Najim Dehak; Jesús Villalba 001 (IEEE Signal Process. Lett., 2025)

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline. - Helin Wang; Jiarui Hai; Dongchao Yang; Chen Chen 075; Kai Li; Junyi Peng; Thomas Thebaud; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (CoRR, 2025)

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech. - Helin Wang; Jiarui Hai; Dading Chong; Karan Thakkar; Tiantian Feng; Dongchao Yang; Junhyeok Lee; Laureano Moro-Velázquez; Jesús Villalba 001; Zengyi Qin; Shrikanth Narayanan; Mounya Elhilali; et al. (CoRR, 2025)

Multi-Target Backdoor Attacks Against Speaker Recognition. - Alexandrine Fortier; Sonal Joshi; Thomas Thebaud; Jesús Antonio Villalba López; Najim Dehak; Patrick Cardinal (CoRR, 2025)

MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidances. - Junhyeok Lee; Helin Wang; Yaohan Guan; Thomas Thebaud; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (CoRR, 2025)

Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation. - Yen-Ju Lu; Thomas Thebaud; Laureano Moro-Velázquez; Najim Dehak; Jesús Villalba 001 (CoRR, 2025)

Backdoor Attacks Against Speech Language Models. - Alexandrine Fortier; Thomas Thebaud; Jesús Villalba 001; Najim Dehak; Patrick Cardinal (CoRR, 2025)

Scaling Multi-Talker ASR with Speaker-Agnostic Activity Streams. - Xiluo He; Alexander Polok; Jesús Villalba 001; Thomas Thebaud; Matthew Maciejewski (CoRR, 2025)

Latent Speech-Text Transformer. - Yen-Ju Lu; Yashesh Gaur; Wei Zhou; Benjamin Muller; Jesús Villalba 001; Najim Dehak; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; Srinivasan Iyer 001; Duc Le (CoRR, 2025)

ReFESS-QI: Reference-Free Evaluation For Speech Separation With Joint Quality And Intelligibility Scoring. - Ari Frummer; Helin Wang; Tianyu Cao 003; Adi Arbel; Yuval Sieradzki; Oren Gal; Jesús Villalba 001; Thomas Thebaud; Najim Dehak (CoRR, 2025)