N. Dehak

发表

PHYSIOSTRESS: A multimodal corpus of data on acute stress and physiological activation

P. Dumouchel, P. Cardinal, P. Plusquellec, 2016 .

MITLL 2015 Language Recognition Evaluation System Description

Douglas E. Sturim, Douglas A. Reynolds, Najim Dehak, 2016 .

Long Term Suboxone™ Emotional Reactivity As Measured by Automatic Detection in Speech

K. Blum, P. Dumouchel, T. Quatieri, 2013, PloS one.

Time-domain speech super-resolution with GAN based modeling for telephony speaker verification

Piotr Żelasko, J. Villalba, Saurabh Kataria, 2022, 2209.01702.

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition

S. A. Chowdhury, S. Khudanpur, Ahmed M. Ali, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

A forced gaussians based methodology for the differential evaluation of Parkinson's Disease by means of speech processing

Juan Ignacio Godino-Llorente, Najim Dehak, Jesús Villalba, 2019, Biomed. Signal Process. Control..

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Developing a speaker identification system for the DARPA RATS project

Hynek Hermansky, Richard M. Schwartz, Sri Harish Reddy Mallidi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Cepstral and long-term features for emotion recognition

Pierre Dumouchel, Najim Dehak, Yazid Attabi, 2009, INTERSPEECH.

Modeling Prosodic Features With Joint Factor Analysis for Speaker Verification

Patrick Kenny, Pierre Dumouchel, Najim Dehak, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

On the Use of Spectral and Iterative Methods for Speaker Diarization

James R. Glass, Najim Dehak, Jim Glass, 2012, INTERSPEECH.

Exploiting Intra-Conversation Variability for Speaker Diarization

James R. Glass, Douglas A. Reynolds, Najim Dehak, 2011, INTERSPEECH.

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity

Najim Dehak, Raghavendra Pappagari, Laureano Moro-Velázquez, 2020, INTERSPEECH.

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks

Najim Dehak, Nanxin Chen, Joaquin Gonzalez-Rodriguez, 2018, IEEE Access.

Using X-Vectors to Automatically Detect Parkinson’s Disease from Speech

Najim Dehak, Jesús Villalba, Laureano Moro-Velázquez, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-end Deep Neural Network Age Estimation

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2018, INTERSPEECH.

Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech

Nanxin Chen, Najim Dehak, Jesús Villalba, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2019, INTERSPEECH.

Front-End Factor Analysis for Speaker Verification

Patrick Kenny, Pierre Dumouchel, Pierre Ouellet, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings

Najim Dehak, K. Sri Rama Murty, Shekhar Nayak, 2019, INTERSPEECH.

A Study of Interspeaker Variability in Speaker Verification

Patrick Kenny, Pierre Dumouchel, Pierre Ouellet, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

Language Recognition via i-vectors and Dimensionality Reduction

Douglas A. Reynolds, Najim Dehak, Pedro A. Torres-Carrasquillo, 2011, INTERSPEECH.

Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

Lukás Burget, Patrick Kenny, Niko Brümmer, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Support vector machines and Joint Factor Analysis for speaker verification

Lukás Burget, Patrick Kenny, Pierre Dumouchel, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discriminative and generative approaches for long- and short-term speaker characteristics modeling: application to speaker verification

Najim Dehak, N. Dehak, 2009 .

Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification

Patrick Kenny, Pierre Dumouchel, Pierre Ouellet, 2009, INTERSPEECH.

A Review of the Use of Prosodic Aspects of Speech for the Automatic Detection and Assessment of Parkinson’s Disease

N. Dehak, L. Moro-Velázquez, 2020 .

Approaches to Evaluate Parkinsonian Speech Using Artificial Models

J. I. Godino-Llorente, Jeung-Yoon Choi, S. Shattuck-Hufnagel, 2020 .

On the Use of Acoustic Unit Discovery for Language Recognition

James R. Glass, Najim Dehak, David F. Harwath, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis pdf

Heiga Zen, Mohammad Norouzi, Ron J. Weiss, 2021, Interspeech.

Stabilized training of joint energy-based models and their practical applications

L. Burget, H. Hermansky, J. Villalba, 2023, arXiv.org.

Correction: Long Term Suboxone™ Emotional Reactivity As Measured by Automatic Detection in Speech

K. Blum, D. Barh, P. Dumouchel, 2013, PLoS ONE.

Unclonable photonic keys hardened against machine learning attacks

Najim Dehak, Jesús Villalba, Mark A. Foster, 2020 .

Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised Models pdf

Saurabh Kataria, Jes'us Villalba, Najim Dehak, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge

Shinji Watanabe, Sanjeev Khudanpur, Alan McCree, 2018, INTERSPEECH.

Emotion Identification from Raw Speech Signals Using DNNs

Kandarpa Kumar Sarma, Daniel Povey, Najim Dehak, 2018, INTERSPEECH.

State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations

Alan McCree, Daniel Garcia-Romero, Gregory Sell, 2020, Comput. Speech Lang..

Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach

James R. Glass, Najim Dehak, Stephen Shum, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Analysis of Deep Feature Loss based Enhancement for Speaker Verification

J. Villalba, Saurabh Kataria, P. S. Nidadavolu, 2020, Odyssey.

Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition

J. Villalba, Saurabh Kataria, N. Dehak, 2023, INTERSPEECH 2023.

Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification

Piotr Żelasko, J. Villalba, Saurabh Kataria, 2021, Interspeech.

Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild pdf

L. Paola García-Perera, Najim Dehak, Phani Sankar Nidadavolu, 2020, ArXiv.

Speaker detection in the wild: Lessons learned from JSALT 2019 pdf

Xin Wang, Jun Du, Kong Aik Lee, 2019, Odyssey.

Feature Enhancement with Deep Feature Losses for Speaker Verification

Nanxin Chen, Jes'us Villalba, Najim Dehak, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Feature Enhancement for Speaker Verification

Leibny Paola García-Perera, J. Villalba, Saurabh Kataria, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans

J. Villalba, Saurabh Kataria, P. S. Nidadavolu, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

The JHU Speaker Recognition System for the VOiCES 2019 Challenge

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2019, INTERSPEECH.

The JHU-MIT System Description for NIST SRE18

Alan McCree, Daniel Garcia-Romero, Nanxin Chen, 2019 .

Effectiveness of Single-Channel BLSTM Enhancement for Language Identification

Shinji Watanabe, Zheng-Hua Tan, Najim Dehak, 2018, INTERSPEECH.

Non-Autoregressive Transformer for Speech Recognition

Shinji Watanabe, Nanxin Chen, Najim Dehak, 2021, IEEE Signal Processing Letters.

James R. Glass, Douglas A. Reynolds, Patrick Kenny, 2010, Odyssey.

Hierarchical Transformers for Long Document Classification

Jes'us Villalba, Najim Dehak, Raghavendra Pappagari, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

A unified deep neural network for speaker and language recognition pdf

Douglas A. Reynolds, Najim Dehak, Fred Richardson, 2015, INTERSPEECH.

Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition

Laureano Moro Velázquez, M. Hasegawa-Johnson, Piotr Żelasko, 2022, Comput. Speech Lang..

How Phonotactics Affect Multilingual and Zero-Shot ASR Performance

M. Hasegawa-Johnson, Piotr Żelasko, O. Scharenborg, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages

Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak, 2020, INTERSPEECH.

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition

Nanxin Chen, Najim Dehak, Raghavendra Pappagari, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition

Piotr Żelasko, J. Villalba, Nanxin Chen, 2021, Interspeech.

Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition

Shinji Watanabe, J. Villalba, Nanxin Chen, 2019, ArXiv.

Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval

Mark Hasegawa-Johnson, Najim Dehak, Xinsheng Wang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

CopyPaste: An Augmentation Method for Speech Emotion Recognition

Jes'us Villalba, Najim Dehak, Raghavendra Pappagari, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer pdf

Nanxin Chen, Jes'us Villalba, Najim Dehak, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adversarial Attacks and Defenses for Speech Recognition Systems pdf

Sanjeev Khudanpur, Najim Dehak, Sonal Joshi, 2021, ArXiv.

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation pdf

Jes'us Villalba, Najim Dehak, Piotr .Zelasko, 2021, Interspeech.

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser

S. Khudanpur, Piotr Żelasko, J. Villalba, 2022, ArXiv.

Automatic Dialect Detection in Arabic Broadcast Speech

James R. Glass, Patrick Cardinal, Steve Renals, 2015, INTERSPEECH.

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification

J. Villalba, Saurabh Kataria, Sonal Joshi, 2022, INTERSPEECH.

Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems

Jes'us Villalba, Najim Dehak, Sonal Joshi, 2021, Interspeech.

Adversarial Attacks and Defenses for Speaker Identification Systems

Najim Dehak, Sonal Joshi, Piotr .Zelasko, 2021, ArXiv.

x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification

Yuekai Zhang, Najim Dehak, Jesús Villalba, 2020, INTERSPEECH.

Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples

Yuekai Zhang, Najim Dehak, Jesús Villalba, 2020, INTERSPEECH.

Attentive Filtering Networks for Audio Replay Attack Detection

Simon King, Junichi Yamagishi, Najim Dehak, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease

R. Stevens, J. Villalba, Tianyu Cao, 2023, Frontiers in Neurology.

Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s Disease

Stefanie Shattuck-Hufnagel, Najim Dehak, Juan I. Godino-Llorente, 2019, Scientific Reports.

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition

Najim Dehak, Raghavendra Pappagari, Piotr .Zelasko, 2021, Transactions of the Association for Computational Linguistics.

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts

Najim Dehak, Raghavendra Pappagari, Jesús Villalba, 2018, INTERSPEECH.

Bottom-Up Unsupervised Word Discovery via Acoustic Units

Sanjeev Khudanpur, Najim Dehak, Chunxi Liu, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Building an ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach

Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak, 2018, SLTU.

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Sanjeev Khudanpur, Craig Harman, Najim Dehak, 2018, 1802.08731.

The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection pdf

Sanjeev Khudanpur, Craig Harman, Najim Dehak, 2018, ArXiv.

Topic identification of spoken documents using unsupervised acoustic unit discovery

Lukás Burget, Sanjeev Khudanpur, Jan Cernocký, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An empirical evaluation of zero resource acoustic unit discovery

Lukás Burget, Sanjeev Khudanpur, Ming Sun, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Building Speech Recognition System from Untranscribed Data Report from JHU workshop 2016

L. Burget, S. Khudanpur, Graham Neubig, 2016 .

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios

Najim Dehak, Raghavendra Pappagari, Jesús Villalba, 2021, Interspeech.

Regularizing Contrastive Predictive Coding for Speech Applications

Piotr Żelasko, J. Villalba, N. Dehak, 2023, 2304.05974.

Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery

Jes'us Villalba, Najim Dehak, Piotr .Zelasko, 2020, INTERSPEECH.

Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition

Najim Dehak, Jesús Villalba, Phani Sankar Nidadavolu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Neural Network Approaches to Speaker and Language Recognition

Douglas A. Reynolds, Najim Dehak, Fred Richardson, 2015, IEEE Signal Processing Letters.

A complete KALDI recipe for building Arabic speech recognition systems

James R. Glass, Yifan Zhang, Patrick Cardinal, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

CohereNet: A deep learning approach to coherence-based beamforming

Muyinatu A. Lediju Bell, Najim Dehak, Eduardo Gonzalez, 2019, 2019 IEEE International Ultrasonics Symposium (IUS).

Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

Juan Ignacio Godino-Llorente, Julián D. Arias-Londoño, Najim Dehak, 2021, Biomed. Signal Process. Control..

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease

Heidi Christensen, Elmar Nöth, Milos Cernak, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

LSTM Siamese Network for Parkinson’s Disease Detection from Speech

Najim Dehak, Jesús Villalba, Laureano Moro-Velázquez, 2019, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker Recognition

Najim Dehak, Jesús Villalba, Phani Sankar Nidadavolu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpretable Speech Features vs. DNN Embeddings: What to Use in the Automatic Assessment of Parkinson's Disease in Multi-lingual Scenarios

J. Villalba, A. Butala, N. Dehak, 2023, medRxiv.

Towards reduced false-alarms using cohorts

William M. Campbell, Najim Dehak, Zahi N. Karam, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Non-Autoregressive Transformer Automatic Speech Recognition

Shinji Watanabe, Nanxin Chen, Jes'us Villalba, 2019, 1911.04908.

Learning Speaker Embedding from Text-to-Speech pdf

Shinji Watanabe, Najim Dehak, Jesus Villalba, 2020, INTERSPEECH.

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

Nanxin Chen, Najim Dehak, Jesús Villalba, 2019, INTERSPEECH.

A Multi-Modal Array of Interpretable Features to Evaluate Language and Speech Patterns in Different Neurological Disorders

R. Stevens, J. Villalba, Tianyu Cao, 2023, 2022 IEEE Spoken Language Technology Workshop (SLT).

Low-Resource Contextual Topic Identification on Speech

Shinji Watanabe, Sanjeev Khudanpur, Craig Harman, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems

Piotr Żelasko, J. Villalba, Sonal Joshi, 2021, IEEE Transactions on Information Forensics and Security.

Code-Switching Text Augmentation for Multilingual Speech Processing pdf

Ahmed Abdelali, S. A. Chowdhury, Najim Dehak, 2022, ArXiv.

Punctuation Prediction Model for Conversational Speech

Najim Dehak, Piotr Szymanski, Yishay Carmiel, 2018, INTERSPEECH.

Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification

Najim Dehak, Raghavendra Pappagari, Jesús Villalba, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cognitive and Acoustic Speech and Language Patterns Occurring in Different Neurodegenerative Disorders while Performing Neuropsychological Tests

R. Stevens, A. Butala, N. Dehak, 2022, 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Deep Stroop: Using eye tracking and speech processing to characterize people with neurodegenerative disorders while performing the Stroop Test

P. Irazoqui, Tianyu Cao, T. Meyer, 2023, medRxiv.

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease

Shinji Watanabe, Mark Hasegawa-Johnson, Odette Scharenborg, 2019, INTERSPEECH.

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease

Juan Ignacio Godino-Llorente, Juan R. Orozco-Arroyave, Najim Dehak, 2018, Appl. Soft Comput..

Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?

Najim Dehak, Mikolaj Morzy, Yishay Carmiel, 2020, INTERSPEECH.

Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification

James R. Glass, Najim Dehak, Stephen Shum, 2010, Odyssey.

Automating analysis of eye movement and feature extraction for different neurodegenerative disorders

T. Meyer, A. Butala, N. Dehak, 2023, medRxiv.

New tools for the differential evaluation of Parkinson's disease using voice and speech processing

Najim Dehak, Juan I. Godino-Llorente, Jorge A. Gomez-Garcia, 2021, IberSPEECH.

Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning

J. Villalba, N. Dehak, L. Moro-Velázquez, 2023, ArXiv.

Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning

J. Villalba, N. Dehak, L. Moro-Velázquez, 2023, INTERSPEECH 2023.

Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech

J. Villalba, Jaejin Cho, N. Dehak, 2022, IEEE Journal of Selected Topics in Signal Processing.

End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based Attractors

J. Villalba, K. Kowalczyk, N. Dehak, 2022, INTERSPEECH.

Front-End Factor Analysis for Speaker Verification

P. Kenny, P. Ouellet, P. Dumouchel, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Beyond Isolated Utterances: Conversational Emotion Recognition pdf

Jes'us Villalba, Najim Dehak, Raghavendra Pappagari, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Time Scale Network: A Shallow Neural Network For Time Series Data

N. Dehak, L. Moro-Velázquez, Trevor Meyer, 2023, arXiv.org.

Visualizing Phoneme Category Adaptation in Deep Neural Networks

Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak, 2018, INTERSPEECH.

Chunking Defense for Adversarial Attacks on ASR

S. Khudanpur, J. Villalba, Saurabh Kataria, 2022, INTERSPEECH.

Investigation on Bandwidth Extension for Speaker Recognition

Najim Dehak, Jesús Villalba, Phani Sankar Nidadavolu, 2018, INTERSPEECH.

GMM-based SVM for face recognition

Gérard Chollet, Najim Dehak, Hervé Bredin, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning Attacks

S. Khudanpur, J. Villalba, Martin Sustek, 2023, 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).