GMM-based SVM for face recognition. - Hervé Bredin; Najim Dehak; Gérard Chollet (ICPR (3), 2006)

Support Vector Gmms for Speaker Verification. - Najim Dehak; Gérard Chollet (Odyssey, 2006)

Linear and non linear kernel GMM supervector machines for speaker verification. - Réda Dehak; Najim Dehak; Patrick Kenny; Pierre Dumouchel (INTERSPEECH, 2007)

Continuous prosodic features and formant modeling with joint factor analysis for speaker verification. - Najim Dehak; Patrick Kenny; Pierre Dumouchel (INTERSPEECH, 2007)

Modeling Prosodic Features With Joint Factor Analysis for Speaker Verification. - Najim Dehak; Pierre Dumouchel; Patrick Kenny (IEEE Trans. Speech Audio Process., 2007)

Development of the primary CRIM system for the NIST 2008 speaker recognition evaluation. - Patrick Kenny; Najim Dehak; Pierre Ouellet; Vishwa Gupta; Pierre Dumouchel (INTERSPEECH, 2008)

Comparison between factor analysis and GMM support vector machines for speaker verification. - Najim Dehak; Réda Dehak; Patrick Kenny; Pierre Dumouchel (Odyssey, 2008)

Kernel combination for SVM speaker verification. - Réda Dehak; Najim Dehak; Patrick Kenny; Pierre Dumouchel (Odyssey, 2008)

The role of speaker factors in the NIST extended data task. - Patrick Kenny; Najim Dehak; Réda Dehak; Vishwa Gupta; Pierre Dumouchel (Odyssey, 2008)

A Study of Interspeaker Variability in Speaker Verification. - Patrick Kenny; Pierre Ouellet; Najim Dehak; Vishwa Gupta; Pierre Dumouchel (IEEE Trans. Speech Audio Process., 2008)

Support vector machines and Joint Factor Analysis for speaker verification. - Najim Dehak; Patrick Kenny; Réda Dehak; Ondrej Glembek; Pierre Dumouchel; Lukás Burget; Valiantsina Hubeika; Fabio Castaldo (ICASSP, 2009)

Comparison of scoring methods used in speaker recognition with Joint Factor Analysis. - Ondrej Glembek; Lukás Burget; Najim Dehak; Niko Brümmer; Patrick Kenny (ICASSP, 2009)

Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. - Najim Dehak; Réda Dehak; Patrick Kenny; Niko Brümmer; Pierre Ouellet; Pierre Dumouchel (INTERSPEECH, 2009)

Cepstral and long-term features for emotion recognition. - Pierre Dumouchel; Najim Dehak; Yazid Attabi; Réda Dehak; Narjès Boufaden (INTERSPEECH, 2009)

Cosine Similarity Scoring without Score Normalization Techniques. - Najim Dehak; Réda Dehak; James R. Glass; Douglas A. Reynolds; Patrick Kenny (Odyssey, 2010)

An i-vector Extractor Suitable for Speaker Recognition with both Microphone and Telephone Speech. - Mohammed Senoussaoui; Patrick Kenny; Najim Dehak; Pierre Dumouchel (Odyssey, 2010)

Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification. - Stephen Shum 001; Najim Dehak; Réda Dehak; James R. Glass (Odyssey, 2010)

A channel-blind system for speaker verification. - Najim Dehak; Zahi N. Karam; Douglas A. Reynolds; Réda Dehak; William M. Campbell; James R. Glass (ICASSP, 2011)

Towards reduced false-alarms using cohorts. - Zahi N. Karam; William M. Campbell; Najim Dehak (ICASSP, 2011)

The MIT LL 2010 speaker recognition evaluation system: Scalable language-independent speaker recognition. - Douglas E. Sturim; William M. Campbell; Najim Dehak; Zahi N. Karam; Alan McCree; Douglas A. Reynolds; Fred Richardson; Pedro A. Torres-Carrasquillo; Stephen Shum 001 (ICASSP, 2011)

Language Recognition via i-vectors and Dimensionality Reduction. - Najim Dehak; Pedro A. Torres-Carrasquillo; Douglas A. Reynolds; Réda Dehak (INTERSPEECH, 2011)

Exploiting Intra-Conversation Variability for Speaker Diarization. - Stephen Shum 001; Najim Dehak; Ekapol Chuangsuwanich; Douglas A. Reynolds; James R. Glass (INTERSPEECH, 2011)

Front-End Factor Analysis for Speaker Verification. - Najim Dehak; Patrick Kenny; Réda Dehak; Pierre Dumouchel; Pierre Ouellet (IEEE Trans. Speech Audio Process., 2011)

Patrol Team Language Identification System for DARPA RATS P1 Evaluation. - Pavel Matejka; Oldrich Plchot; Mehdi Soufifar; Ondrej Glembek; Luis Fernando D'Haro; Karel Veselý; Frantisek Grézl; Jeff Z. Ma; Spyros Matsoukas; Najim Dehak (INTERSPEECH, 2012)

On the Use of Spectral and Iterative Methods for Speaker Diarization. - Stephen Shum 001; Najim Dehak; Jim Glass 001 (INTERSPEECH, 2012)

First attempt of boltzmann machines for speaker verification. - Mohammed Senoussaoui; Najim Dehak; Patrick Kenny; Réda Dehak; Pierre Dumouchel (Odyssey, 2012)

The MITLL NIST LRE 2011 language recognition system. - Elliot Singer; Pedro A. Torres-Carrasquillo; Douglas A. Reynolds; Alan McCree; Fred Richardson; Najim Dehak; Douglas E. Sturim (Odyssey, 2012)

Developing a speaker identification system for the DARPA RATS project. - Oldrich Plchot; Spyros Matsoukas; Pavel Matejka; Najim Dehak; Jeff Z. Ma; Sandro Cumani; Ondrej Glembek; Hynek Hermansky; Sri Harish Reddy Mallidi; Nima Mesgarani; Richard M. Schwartz; Mehdi Soufifar; et al. (ICASSP, 2013)

Bayesian distance metric learning on i-vector for speaker verification. - Xiao Fang; Najim Dehak; James R. Glass (INTERSPEECH, 2013)

New cosine similarity scorings to implement gender-independent speaker verification. - Mohammed Senoussaoui; Patrick Kenny; Pierre Dumouchel; Najim Dehak (INTERSPEECH, 2013)

Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach. - Stephen Shum 001; Najim Dehak; Réda Dehak; James R. Glass (IEEE Trans. Speech Audio Process., 2013)

Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera. - Patrick Cardinal; Ahmed Ali 002; Najim Dehak; Yu Zhang 033; Tuka Al Hanai; Yifan Zhang; James R. Glass; Stephan Vogel (INTERSPEECH, 2014)

Limited labels for unlimited data: active learning for speaker recognition. - Stephen H. Shum; Najim Dehak; James R. Glass (INTERSPEECH, 2014)

GMM Weights Adaptation Based on Subspace Approaches for Speaker Verification. - Najim Dehak; Oldrich Plchot; Mohamad Hasan Bahari; Lukás Burget; Hugo Van hamme; Réda Dehak (Odyssey, 2014)

A complete KALDI recipe for building Arabic speech recognition systems. - Ahmed Ali 002; Yifan Zhang; Patrick Cardinal; Najim Dehak; Stephan Vogel; James R. Glass (SLT, 2014)

Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition. - Mohamad Hasan Bahari; Najim Dehak; Hugo Van hamme; Lukás Burget; Ahmed Ali 002; Jim Glass 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Speaker adaptation using the i-vector technique for bottleneck features. - Patrick Cardinal; Najim Dehak; Yu Zhang 033; James R. Glass (INTERSPEECH, 2015)

A unified deep neural network for speaker and language recognition. - Fred Richardson; Douglas A. Reynolds; Najim Dehak (INTERSPEECH, 2015)

ETS System for AV+EC 2015 Challenge. - Patrick Cardinal; Najim Dehak; Alessandro Lameiras Koerich; Jahangir Alam 001; Patrice Boucher (AVEC@ACM Multimedia, 2015)

Deep Neural Network Approaches to Speaker and Language Recognition. - Fred Richardson; Douglas A. Reynolds; Najim Dehak (IEEE Signal Process. Lett., 2015)

Automatic Dialect Detection in Arabic Broadcast Speech. - Ahmed Ali 002; Najim Dehak; Patrick Cardinal; Sameer Khurana; Sree Harsha Yella; James R. Glass; Peter Bell 001; Steve Renals (INTERSPEECH, 2016)

Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition. - Ruizhi Li; Sri Harish Reddy Mallidi; Lukás Burget; Oldrich Plchot; Najim Dehak (INTERSPEECH, 2016)

Native Language Detection Using the I-Vector Framework. - Mohammed Senoussaoui; Patrick Cardinal; Najim Dehak; Alessandro L. Koerich (INTERSPEECH, 2016)

I-Vector Representation Based on GMM and DNN for Audio Classification. - Najim Dehak (Odyssey, 2016)

The MITLL NIST LRE 2015 Language Recognition System. - Pedro A. Torres-Carrasquillo; Najim Dehak; Elizabeth Godoy; Douglas A. Reynolds; Fred Richardson; Stephen Shum 001; Elliot Singer; Douglas E. Sturim (Odyssey, 2016)

On the Use of Acoustic Unit Discovery for Language Recognition. - Stephen H. Shum; David F. Harwath; Najim Dehak; James R. Glass (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Topic identification of spoken documents using unsupervised acoustic unit discovery. - Santosh Kesiraju; Raghavendra Pappagari; Lucas Ondel; Lukás Burget; Najim Dehak; Sanjeev Khudanpur; Jan Cernocký; Suryakanth V. Gangashetty (ICASSP, 2017)

An empirical evaluation of zero resource acoustic unit discovery. - Chunxi Liu; Jinyi Yang; Ming Sun; Santosh Kesiraju; Alena Rott; Lucas Ondel; Pegah Ghahremani; Najim Dehak; Lukás Burget; Sanjeev Khudanpur (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors. - Nicanor García; Juan Rafael Orozco-Arroyave; Luis Fernando D'Haro; Najim Dehak; Elmar Nöth (INTERSPEECH, 2017)

The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. - Pedro A. Torres-Carrasquillo; Fred Richardson; Shahan C. Nercessian; Douglas E. Sturim; William M. Campbell; Youngjune Gwon; Swaroop Vattam; Najim Dehak; Sri Harish Reddy Mallidi; Phani Sankar Nidadavolu; Ruizhi Li; Réda Dehak (INTERSPEECH, 2017)

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

Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors. - Nicanor García; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Najim Dehak; Elmar Nöth (TSD, 2017)

Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jan Rusz; Sabine Skodda; Francisco Grandas; José-Miguel Velazquez; Juan Rafael Orozco-Arroyave; Elmar Nöth; Najim Dehak (EMBC, 2018)

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)

Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods. - Matthew Maciejewski; David Snyder; Vimal Manohar; Najim Dehak; Sanjeev Khudanpur (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)

Emotion Identification from Raw Speech Signals Using DNNs. - Mousmita Sarma; Pegah Ghahremani; Daniel Povey; Nagendra Kumar Goel; Kandarpa Kumar Sarma; Najim Dehak (INTERSPEECH, 2018)

Visualizing Phoneme Category Adaptation in Deep Neural Networks. - Odette Scharenborg; Sebastian Tiesmeyer; Mark Hasegawa-Johnson; 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)

Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages. - Matthew Wiesner; Chunxi Liu; Lucas Ondel; Craig Harman; Vimal Manohar; Jan Trmal; Zhongqiang Huang; Najim Dehak; Sanjeev Khudanpur (INTERSPEECH, 2018)

Punctuation Prediction Model for Conversational Speech. - Piotr Zelasko; Piotr Szymanski; Jan Mizgajski; Adrian Szymczak; Yishay Carmiel; Najim Dehak (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)

Low-Resource Contextual Topic Identification on Speech. - Chunxi Liu; Matthew Wiesner; Shinji Watanabe 001; Craig Harman; Jan Trmal; Najim Dehak; Sanjeev Khudanpur (SLT, 2018)

Building an ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach. - Odette Scharenborg; Patrick Ebel 002; Mark Hasegawa-Johnson; Najim Dehak (SLTU, 2018)

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks. - Rubén Zazo-Candil; Phani Sankar Nidadavolu; Nanxin Chen; Joaquin Gonzalez-Rodriguez; Najim Dehak (IEEE Access, 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)

The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection. - Matthew Wiesner; Chunxi Liu; Lucas Ondel; Craig Harman; Vimal Manohar; Jan Trmal; Zhongqiang Huang; Sanjeev Khudanpur; Najim Dehak (CoRR, 2018)

MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation (MCE) Plan, Dataset and Baseline System. - Suwon Shon; Najim Dehak; Douglas A. Reynolds; James R. Glass (CoRR, 2018)

Low Resource Multi-modal Data Augmentation for End-to-end ASR. - Matthew Wiesner; Adithya Renduchintala; Shinji Watanabe 001; Chunxi Liu; Najim Dehak; Sanjeev Khudanpur (CoRR, 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 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)

Attentive Filtering Networks for Audio Replay Attack Detection. - Cheng-I Lai; Alberto Abad; Korin Richmond; Junichi Yamagishi; Najim Dehak; Simon King 001 (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)

Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings. - Saurabhchand Bhati; Shekhar Nayak; K. Sri Rama Murty; Najim Dehak (INTERSPEECH, 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)

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. - Laureano Moro-Velázquez; Jaejin Cho; Shinji Watanabe 001; Mark A. Hasegawa-Johnson; Odette Scharenborg; Heejin Kim; Najim Dehak (INTERSPEECH, 2019)

Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN. - Mousmita Sarma; Pegah Ghahremani; Daniel Povey; Nagendra Kumar Goel; Kandarpa Kumar Sarma; Najim Dehak (INTERSPEECH, 2019)

MCE 2018: The 1st Multi-Target Speaker Detection and Identification Challenge Evaluation. - Suwon Shon; Najim Dehak; Douglas A. Reynolds; James R. Glass (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)

Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings. - Matthew Wiesner; Adithya Renduchintala; Shinji Watanabe 001; Chunxi Liu; Najim Dehak; Sanjeev Khudanpur (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)

Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods. - Mohammed Senoussaoui; Patrick Cardinal; Najim Dehak; Alessandro Lameiras Koerich (CoRR, 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)

Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? - Lukasz Augustyniak; Piotr Szymanski; Mikolaj Morzy; Piotr Zelasko; Adrian Szymczak; Jan Mizgajski; Yishay Carmiel; Najim Dehak (INTERSPEECH, 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)

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. - Raghavendra Pappagari; Jaejin Cho; Laureano Moro-Velázquez; Najim Dehak (INTERSPEECH, 2020)

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

That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. - Piotr Zelasko; Laureano Moro-Velázquez; Mark Hasegawa-Johnson; Odette Scharenborg; 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)

rVAD: An unsupervised segment-based robust voice activity detection method. - Zheng-Hua Tan; Achintya Kumar Sarkar; Najim Dehak (Comput. Speech Lang., 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)

Introduction to the Issue on Automatic Assessment of Health Disorders Based on Voice, Speech, and Language Processing. - Juan Ignacio Godino-Llorente; Douglas D. O'Shaughnessy; Tan Lee 001; Najim Dehak; Claudia Manfredi (IEEE J. Sel. Top. Signal Process., 2020)

Analysis of the Effects of Supraglottal Tract Surgical Procedures in Automatic Speaker Recognition Performance. - Laureano Moro-Velázquez; Estefanía Hernández-García; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Najim Dehak (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. - Raghavendra Pappagari; Piotr Zelasko; Agnieszka Mikolajczyk; Piotr Pezik; Najim Dehak (ASRU, 2021)

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

New tools for the differential evaluation of Parkinson's disease using voice and speech processing. - Laureano Moro-Velázquez; Jorge Gómez-García; Najim Dehak; Juan Ignacio Godino-Llorente (IberSPEECH, 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)

How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. - Siyuan Feng 001; Piotr Zelasko; Laureano Moro-Velázquez; Ali Abavisani; Mark Hasegawa-Johnson; Odette Scharenborg; 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)

Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval. - Liming Wang 003; Xinsheng Wang; Mark Hasegawa-Johnson; Odette Scharenborg; 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)

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. - Nanxin Chen; Yu Zhang 033; Heiga Zen; Ron J. Weiss; Mohammad Norouzi 002; Najim Dehak; William Chan (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)

Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Julián D. Arias-Londoño; Najim Dehak; Juan Ignacio Godino-Llorente (Biomed. Signal Process. Control., 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)

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition. - Piotr Zelasko; Raghavendra Pappagari; Najim Dehak (Trans. Assoc. Comput. Linguistics, 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)

Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition. - Amir Hussein; Shammur Absar Chowdhury; Ahmed Abdelali; Najim Dehak; Ahmed Ali 002; Sanjeev Khudanpur (SLT, 2022)

Code-Switching Text Augmentation for Multilingual Speech Processing. - Amir Hussein; Shammur Absar Chowdhury; Ahmed Abdelali; Najim Dehak; Ahmed Ali 002 (CoRR, 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)

Discovering phonetic inventories with crosslingual automatic speech recognition. - Piotr Zelasko; Siyuan Feng 001; Laureano Moro-Velázquez; Ali Abavisani; Saurabhchand Bhati; Odette Scharenborg; Mark Hasegawa-Johnson; Najim Dehak (Comput. Speech Lang., 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)

Time Scale Network: A Shallow Neural Network For Time Series Data. - Trevor Meyer 001; Camden Shultz; Najim Dehak; Laureano Moro-Velázquez; Pedro P. Irazoqui (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)

Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline. - Maliha Jahan; Helin Wang; Thomas Thebaud; Yinglun Sun; Giang Ha Le; Zsuzsanna Fagyal; Odette Scharenborg; Mark Hasegawa-Johnson; Laureano Moro-Velázquez; Najim Dehak (LREC/COLING, 2024)

Concurrent validity of instrumented insoles measuring gait and balance metrics in Parkinson's disease. - Sophia A. Watkinson; Anthony J. Anderson; Michael Caiola; David Eguren; Michael Gonzalez 005; Laureano Moro-Velázquez; Najim Dehak; Chelsey Motley; Emile Moukheiber; Kelly Mills; Brittney C. Muir; Ankur A. Butala; et al. (EMBC, 2024)

DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction. - Jiarui Hai; Helin Wang; Dongchao Yang; Karan Thakkar; Najim Dehak; Mounya Elhilali (ICASSP, 2024)

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)

Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages. - Anna Favaro; Tianyu Cao 003; Najim Dehak; Laureano Moro-Velázquez (INTERSPEECH, 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)

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)

Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results. - Lucas Goncalves; Ali N. Salman; Abinay Reddy Naini; Laureano Moro-Velázquez; Thomas Thebaud; Paola García 001; Najim Dehak; Berrak Sisman; Carlos Busso (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)

Explainable Metrics for the Assessment of Neurodegenerative Diseases through Handwriting Analysis. - Thomas Thebaud; Anna Favaro; Casey Chen; Gabriel Chávez; Laureano Moro-Velázquez; Ankur A. Butala; Najim Dehak (CoRR, 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)

Demographic Attributes Prediction from Speech Using WavLM Embeddings. - Yuchen Yang; Thomas Thebaud; Najim Dehak (CISS, 2025)

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)

SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer. - Helin Wang; Jiarui Hai; Yen-Ju Lu; Karan Thakkar; Mounya Elhilali; Najim Dehak (ICASSP, 2025)

SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis. - Helin Wang; Meng Yu 003; Jiarui Hai; Chen Chen 075; Yuchen Hu; Rilin Chen; Najim Dehak; Dong Yu 001 (ICASSP, 2025)

Deep Stroop: Integrating eye tracking and speech processing to characterize people with neurodegenerative disorders while performing neuropsychological tests. - Trevor Meyer 001; Anna Favaro; Esther S. Oh; Ankur A. Butala; Chelsie Motley; Pedro P. Irazoqui; Najim Dehak; Laureano Moro-Velázquez (Comput. Biol. Medicine, 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)

Time Scale Network: An Efficient Shallow Neural Network for Time Series Data in Biomedical Applications. - Trevor Meyer 001; Camden Shultz; Najim Dehak; Laureano Moro-Velázquez; Pedro P. Irazoqui (IEEE J. Sel. Top. Signal Process., 2025)

Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits. - Tiantian Feng; Jihwan Lee; Anfeng Xu; Yoonjeong Lee; Thanathai Lertpetchpun; Xuan Shi; Helin Wang; Thomas Thebaud; Laureano Moro-Velázquez; Dani Byrd; Najim Dehak; Shrikanth Narayanan (CoRR, 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)

Enhancing Dialogue Annotation with Speaker Characteristics Leveraging a Frozen LLM. - Thomas Thebaud; Yen-Ju Lu; Matthew Wiesner; Peter Viechnicki; Najim Dehak (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)