Jesús Villalba - researchr alias

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Viewing Publication 1 - 58 from 58

2022

Unsupervised Speech Segmentation and Variable Rate Representation Learning Using Segmental Contrastive Predictive CodingSaurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. taslp, 30:2002-2014, 2022. [doi]

Non-contrastive self-supervised learning of utterance-level speech representationsJaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak. interspeech 2022: 4028-4032 [doi]

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker IdentificationSonal Joshi, Saurabh Kataria, Jesús Villalba, Najim Dehak. interspeech 2022: 5060-5064 [doi]

Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with DenoiserSonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesús Villalba, Sanjeev Khudanpur, Najim Dehak. interspeech 2022: 5035-5039 [doi]

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verificationSaurabh Kataria, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak. interspeech 2022: 615-619 [doi]

End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based AttractorsMagdalena Rybicka, Jesús Villalba, Najim Dehak, Konrad Kowalczyk. interspeech 2022: 5090-5094 [doi]

Chunking Defense for Adversarial Attacks on ASRYiwen Shao, Jesús Villalba, Sonal Joshi, Saurabh Kataria, Sanjeev Khudanpur, Najim Dehak. interspeech 2022: 5045-5049 [doi]

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Magdalena Rybicka, Carlos D. Castillo, Jaejin Cho, L. Paola García-Perera, Pedro A. Torres-Carrasquillo, Najim Dehak. odyssey 2022: 213-220 [doi]

Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS ChallengeJesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Jaejin Cho, Pedro A. Torres-Carrasquillo, Najim Dehak. odyssey 2022: 338-345 [doi]

2021

Segmental Contrastive Predictive Coding for Unsupervised Word SegmentationSaurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. interspeech 2021: 366-370 [doi]

Focus on the Present: A Regularization Method for the ASR Source-Target Attention LayerNanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak. icassp 2021: 5994-5998 [doi]

Align-Denoise: Single-Pass Non-Autoregressive Speech RecognitionNanxin Chen, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak. interspeech 2021: 3770-3774 [doi]

Non-Autoregressive Transformer for Speech RecognitionNanxin Chen, Shinji Watanabe 0001, Jesús Villalba, Piotr Zelasko, Najim Dehak. spl, 28:121-125, 2021. [doi]

Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised ScenariosJaejin Cho, Piotr Zelasko, Jesús Villalba, Najim Dehak. icassp 2021: 6733-6737 [doi]

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition SystemsSonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. tifs, 16:4811-4826, 2021. [doi]

Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised ModelsSaurabh Kataria, Jesús Villalba, Najim Dehak. icassp 2021: 7118-7122 [doi]

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker VerificationSaurabh Kataria, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. interspeech 2021: 1079-1083 [doi]

CopyPaste: An Augmentation Method for Speech Emotion RecognitionRaghavendra Pappagari, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak. icassp 2021: 6324-6328 [doi]

Beyond Isolated Utterances: Conversational Emotion RecognitionRaghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak. asru 2021: 39-46 [doi]

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource ScenariosRaghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak. interspeech 2021: 3825-3829 [doi]

Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker RecognitionMagdalena Rybicka, Jesús Villalba, Piotr Zelasko, Najim Dehak, Konrad Kowalczyk. interspeech 2021: 496-500 [doi]

Invariant Representation Learning for Robust Far-Field Speaker RecognitionAviad Shtrosberg, Jesús Villalba, Najim Dehak, Azaria Cohen, Bar Ben-Yair. slsp 2021: 97-110 [doi]

Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition SystemsJesús Villalba, Sonal Joshi, Piotr Zelasko, Najim Dehak. interspeech 2021: 4304-4308 [doi]

2020

Self-Expressing Autoencoders for Unsupervised Spoken Term DiscoverySaurabhchand Bhati, Jesús Villalba, Piotr Zelasko, Najim Dehak. interspeech 2020: 4876-4880 [doi]

Learning Speaker Embedding from Text-to-SpeechJaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe 0001, Najim Dehak. interspeech 2020: 3256-3260 [doi]

Feature Enhancement with Deep Feature Losses for Speaker VerificationSaurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, L. Paola García-Perera, Najim Dehak. icassp 2020: 7584-7588 [doi]

Analysis of Deep Feature Loss Based Enhancement for Speaker VerificationSaurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Najim Dehak. odyssey 2020: 459-466 [doi]

Using X-Vectors to Automatically Detect Parkinson's Disease from SpeechLaureano Moro-Velázquez, Jesús Villalba, Najim Dehak. icassp 2020: 1155-1159 [doi]

Unsupervised Feature Enhancement for Speaker VerificationPhani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, L. Paola García-Perera, Najim Dehak. icassp 2020: 7599-7603 [doi]

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker RecognitionRaghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak. icassp 2020: 7169-7173 [doi]

State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluationsJesús Villalba, 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. csl, 60, 2020. [doi]

x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker VerificationJesús Villalba, Yuekai Zhang, Najim Dehak. interspeech 2020: 4233-4237 [doi]

Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial ExamplesYuekai Zhang, Ziyan Jiang, Jesús Villalba, Najim Dehak. interspeech 2020: 4238-4242 [doi]

2019

LSTM Siamese Network for Parkinson's Disease Detection from SpeechSaurabhchand Bhati, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak. globalsip 2019: 1-5 [doi]

Bottom-Up Unsupervised Word Discovery via Acoustic UnitsSaurabhchand Bhati, Chunxi Liu, Jesús Villalba, Jan Trmal, Sanjeev Khudanpur, Najim Dehak. globalsip 2019: 1-5 [doi]

Tied Mixture of Factor Analyzers Layer to Combine Frame Level Representations in Neural Speaker EmbeddingsNanxin Chen, Jesús Villalba, Najim Dehak. interspeech 2019: 2948-2952 [doi]

Language Model Integration Based on Memory Control for Sequence to Sequence Speech RecognitionJaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak. icassp 2019: 6191-6195 [doi]

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual NetworksCheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak. interspeech 2019: 1013-1017 [doi]

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processingLaureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jesús Villalba, Jan Rusz, Stephanie Shattuck-Hufnagel, Najim Dehak. bspc, 48:205-220, 2019. [doi]

Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker RecognitionPhani Sankar Nidadavolu, Jesús Villalba, Najim Dehak. icassp 2019: 6206-6210 [doi]

Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker RecognitionPhani Sankar Nidadavolu, Vicente Iglesias, Jesús Villalba, Najim Dehak. icassp 2019: 6111-6115 [doi]

Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-GansPhani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, Najim Dehak. asru 2019: 710-717 [doi]

Hierarchical Transformers for Long Document ClassificationRaghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Yishay Carmiel, Najim Dehak. asru 2019: 838-844 [doi]

The JHU Speaker Recognition System for the VOiCES 2019 ChallengeDavid Snyder, Jesús Villalba, Nanxin Chen, Daniel Povey, Gregory Sell, Najim Dehak, Sanjeev Khudanpur. interspeech 2019: 2468-2472 [doi]

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18Jesús Villalba, 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, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak. interspeech 2019: 1488-1492 [doi]

2018

Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from SpeechNanxin Chen, Jesús Villalba, Yishay Carmiel, Najim Dehak. icassp 2018: 4939-4943 [doi]

An Investigation of Non-linear i-vectors for Speaker VerificationNanxin Chen, Jesús Villalba, Najim Dehak. interspeech 2018: 87-91 [doi]

Deep Neural Networks for Emotion Recognition Combining Audio and TranscriptsJaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak. interspeech 2018: 247-251 [doi]

Effectiveness of Single-Channel BLSTM Enhancement for Language IdentificationPeter Sibbern Frederiksen, Jesús Villalba, Shinji Watanabe, Zheng-Hua Tan, Najim Dehak. interspeech 2018: 1823-1827 [doi]

End-to-end Deep Neural Network Age EstimationPegah Ghahremani, Phani Sankar Nidadavolu, Nanxin Chen, Jesús Villalba, Daniel Povey, Sanjeev Khudanpur, Najim Dehak. interspeech 2018: 277-281 [doi]

JHU Diarization System DescriptionZili Huang, L. Paola García-Perera, Jesús Villalba, Daniel Povey, Najim Dehak. iberspeech 2018: 236-239 [doi]

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's DiseaseLaureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jesús Villalba, Juan Rafael Orozco-Arroyave, Najim Dehak. asc, 62:649-666, 2018. [doi]

Investigation on Bandwidth Extension for Speaker RecognitionPhani Sankar Nidadavolu, Cheng-I Lai, Jesús Villalba, Najim Dehak. interspeech 2018: 1111-1115 [doi]

Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic IdentificationRaghavendra Pappagari, Jesús Villalba, Najim Dehak. icassp 2018: 6199-6203 [doi]

The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 SystemFred Richardson, Pedro A. Torres-Carrasquillo, Jonas Borgstrom, Douglas E. Sturim, Youngjune Gwon, Jesús Villalba, Jan Trmal, Nanxin Chen, Réda Dehak, Najim Dehak. odyssey 2018: 54-59 [doi]

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD ChallengeGregory Sell, David Snyder, Alan McCree, Daniel Garcia-Romero, Jesús Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur. interspeech 2018: 2808-2812 [doi]

2017

Tied Variational Autoencoder Backends for i-Vector Speaker RecognitionJesús Villalba, Niko Brümmer, Najim Dehak. interspeech 2017: 1004-1008 [doi]

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