Najim Dehak
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
121
Venues
9
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
121 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | LREC | Beyond Transcripts: Iterative Peer-Editing with Audio Unlocks High-Quality Human Summaries of Conversational Speech. | Kaavya Chaparala, Thomas Thebaud, Jess Antonio Villalba Lpez, Laureano Moro-Velzquez, Peter Viechnicki, Najim Dehak |
| 2026 | LREC | Towards Fair Speech Recognition: Mitigating Demographic Bias in End-to-End ASR Systems. | Maliha Jahan, Thomas Thebaud, Zsuzsanna Fagyal, Jess Villalba, Mark Hasegawa-Johnson, Laureano Moro-Velzquez, Najim Dehak |
| 2025 | ASRU | Multi-Target Backdoor Attacks Against Speaker Recognition. | Alexandrine Fortier, Sonal Joshi, Thomas Thebaud, Jess Antonio Villalba Lpez, Najim Dehak, Patrick Cardinal |
| 2025 | ASRU | Enhancing Dialogue Annotation with Speaker Characteristics Leveraging a Frozen LLM. | Thomas Thebaud, Yen-Ju Lu, Matthew Wiesner, Peter Viechnicki, Najim Dehak |
| 2025 | ASRU | The JHU-MIT System for NIST SRE24: Post-Evaluation Analysis. | Jess Villalba, Jonas Borgstrom, Prabhav Singh, Leibny Paola Garca, Pedro A. Torres-Carrasquillo, Najim Dehak |
| 2025 | CISS | Demographic Attributes Prediction from Speech Using WavLM Embeddings. | Yuchen Yang, Thomas Thebaud, Najim Dehak |
| 2025 | EMNLP | Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation. | Yen-Ju Lu, Thomas Thebaud, Laureano Moro-Velzquez, Najim Dehak, Jess Villalba |
| 2025 | ICASSP | Unveiling Performance Bias in ASR Systems: A Study on Gender, Age, Accent, and More. | Maliha Jahan, Priyam Mazumdar, Thomas Thebaud, Mark Hasegawa-Johnson, Jess Villalba, Najim Dehak, Laureano Moro-Velzquez |
| 2025 | ICASSP | Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings. | Sarah Laouedj, Yuzhe Wang, Jess Villalba, Thomas Thebaud, Laureano Moro-Velzquez, Najim Dehak |
| 2025 | ICASSP | SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer. | Helin Wang, Jiarui Hai, Yen-Ju Lu, Karan Thakkar, Mounya Elhilali, Najim Dehak |
| 2025 | ICASSP | SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis. | Helin Wang, Meng Yu, Jiarui Hai, Chen Chen, Yuchen Hu, Rilin Chen, Najim Dehak, Dong Yu |
| 2025 | Interspeech | ADCeleb: A Longitudinal Speech Dataset from Public Figures for Early Detection of Alzheimer's Disease. | Kunxiao Gao, Anna Favaro, Najim Dehak, Laureano Moro-Velzquez |
| 2025 | Interspeech | FaiST: A Benchmark Dataset for Fairness in Speech Technology. | Maliha Jahan, Yinglun Sun, Priyam Mazumdar, Zsuzsanna Fagyal, Thomas Thebaud, Jess Villalba, Mark Hasegawa-Johnson, Najim Dehak, Laureano Moro-Velzquez |
| 2025 | Interspeech | The Interspeech 2025 Challenge on Speech Emotion Recognition in Naturalistic Conditions. | Abinay Reddy Naini, Lucas Goncalves, Ali N. Salman, Pravin Mote, Ismail Rasim Ulgen, Thomas Thebaud, Laureano Moro-Velzquez, Leibny Paola Garca, Najim Dehak, Berrak Sisman, Carlos Busso |
| 2025 | Interspeech | Count Your Speakers! Multitask Learning for Multimodal Speaker Diarization. | Prabhav Singh, Jess Villalba, Najim Dehak |
| 2025 | Interspeech | Multimodal Emotion Diarization: Frame-Wise Integration of Text and Audio Representations. | Ziv Tamir, Thomas Thebaud, Jess Villalba, Najim Dehak, Oren Kurland |
| 2024 | COLING | 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-Velzquez, Najim Dehak |
| 2024 | ICASSP | DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction. | Jiarui Hai, Helin Wang, Dongchao Yang, Karan Thakkar, Najim Dehak, Mounya Elhilali |
| 2024 | ICMI | Multimodal Emotion Recognition Harnessing the Complementarity of Speech, Language, and Vision. | Thomas Thebaud, Anna Favaro, Yaohan Guan, Yuchen Yang, Prabhav Singh, Jess Villalba, Laureano Moro-Velzquez, Najim Dehak |
| 2024 | Interspeech | Leveraging Universal Speech Representations for Detecting and Assessing the Severity of Mild Cognitive Impairment Across Languages. | Anna Favaro, Tianyu Cao, Najim Dehak, Laureano Moro-Velzquez |
| 2024 | Interspeech | Noise-robust Speech Separation with Fast Generative Correction. | Helin Wang, Jess Villalba, Laureano Moro-Velzquez, Jiarui Hai, Thomas Thebaud, Najim Dehak |
| 2024 | Interspeech | Exploring the Complementary Nature of Speech and Eye Movements for Profiling Neurological Disorders. | Yuzhe Wang, Anna Favaro, Thomas Thebaud, Jess Villalba, Najim Dehak, Laureano Moro-Velzquez |
| 2023 | ASRU | Model-Based Fairness Metric for Speaker Verification. | Maliha Jahan, Laureano Moro-Velzquez, Thomas Thebaud, Najim Dehak, Jess Villalba |
| 2023 | ASRU | Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning Attacks. | Martin Sustek, Sonal Joshi, Henry Li, Thomas Thebaud, Jess Villalba, Sanjeev Khudanpur, Najim Dehak |
| 2023 | ASRU | Clustering Unsupervised Representations as Defense Against Poisoning Attacks on Speech Commands Classification System. | Thomas Thebaud, Sonal Joshi, Henry Li, Martin Sustek, Jess Villalba, Sanjeev Khudanpur, Najim Dehak |
| 2023 | Interspeech | Advances in Language Recognition in Low Resource African Languages: The JHU-MIT Submission for NIST LRE22. | Jess Villalba, Jonas Borgstrom, Maliha Jahan, Saurabh Kataria, Leibny Paola Garca, Pedro A. Torres-Carrasquillo, Najim Dehak |
| 2023 | Interspeech | Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. | Saurabhchand Bhati, Jess Villalba, Laureano Moro-Velzquez, Thomas Thebaud, Najim Dehak |
| 2023 | Interspeech | Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora? | Anna Favaro, Tianyu Cao, Thomas Thebaud, Jess Villalba, Ankur A. Butala, Najim Dehak, Laureano Moro-Velzquez |
| 2023 | Interspeech | Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition. | Saurabh Kataria, Jess Villalba, Laureano Moro-Velzquez, Thomas Thebaud, Najim Dehak |
| 2023 | Interspeech | DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model. | Helin Wang, Thomas Thebaud, Jess Villalba, Myra Sydnor, Becky Lammers, Najim Dehak, Laureano Moro-Velzquez |
| 2022 | Interspeech | Non-contrastive self-supervised learning of utterance-level speech representations. | Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velzquez, Jess Villalba, Najim Dehak |
| 2022 | Interspeech | Defense against Adversarial Attacks on Hybrid Speech Recognition System using Adversarial Fine-tuning with Denoiser. | Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jess Villalba, Sanjeev Khudanpur, Najim Dehak |
| 2022 | Interspeech | AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification. | Sonal Joshi, Saurabh Kataria, Jess Villalba, Najim Dehak |
| 2022 | Interspeech | Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification. | Saurabh Kataria, Jess Villalba, Laureano Moro-Velzquez, Najim Dehak |
| 2022 | Interspeech | End-to-End Neural Speaker Diarization with an Iterative Refinement of Non-Autoregressive Attention-based Attractors. | Magdalena Rybicka, Jess Villalba, Najim Dehak, Konrad Kowalczyk |
| 2022 | Interspeech | Chunking Defense for Adversarial Attacks on ASR. | Yiwen Shao, Jess Villalba, Sonal Joshi, Saurabh Kataria, Sanjeev Khudanpur, Najim Dehak |
| 2021 | ASRU | Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios. | Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak |
| 2021 | ASRU | Beyond Isolated Utterances: Conversational Emotion Recognition. | Raghavendra Pappagari, Piotr Zelasko, Jess Villalba, Laureano Moro-Velzquez, Najim Dehak |
| 2021 | ICASSP | Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. | Nanxin Chen, Piotr Zelasko, Jess Villalba, Najim Dehak |
| 2021 | ICASSP | Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. | Jaejin Cho, Piotr Zelasko, Jess Villalba, Najim Dehak |
| 2021 | ICASSP | How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. | Siyuan Feng, Piotr Zelasko, Laureano Moro-Velzquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak |
| 2021 | ICASSP | Perceptual Loss Based Speech Denoising with an Ensemble of Audio Pattern Recognition and Self-Supervised Models. | Saurabh Kataria, Jess Villalba, Najim Dehak |
| 2021 | ICASSP | CopyPaste: An Augmentation Method for Speech Emotion Recognition. | Raghavendra Pappagari, Jess Villalba, Piotr Zelasko, Laureano Moro-Velzquez, Najim Dehak |
| 2021 | ICASSP | Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval. | Liming Wang, Xinsheng Wang, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak |
| 2021 | Interspeech | Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation. | Saurabhchand Bhati, Jess Villalba, Piotr Zelasko, Laureano Moro-Velzquez, Najim Dehak |
| 2021 | Interspeech | Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. | Nanxin Chen, Piotr Zelasko, Laureano Moro-Velzquez, Jess Villalba, Najim Dehak |
| 2021 | Interspeech | WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. | Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan |
| 2021 | Interspeech | Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification. | Saurabh Kataria, Jess Villalba, Piotr Zelasko, Laureano Moro-Velzquez, Najim Dehak |
| 2021 | Interspeech | Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. | Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velzquez, Piotr Zelasko, Jess Villalba, Najim Dehak |
| 2021 | Interspeech | Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. | Magdalena Rybicka, Jess Villalba, Piotr Zelasko, Najim Dehak, Konrad Kowalczyk |
| 2021 | Interspeech | Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems. | Jess Villalba, Sonal Joshi, Piotr Zelasko, Najim Dehak |
| 2020 | ICASSP | Feature Enhancement with Deep Feature Losses for Speaker Verification. | Saurabh Kataria, Phani Sankar Nidadavolu, Jess Villalba, Nanxin Chen, L. Paola Garca-Perera, Najim Dehak |
| 2020 | ICASSP | Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. | Laureano Moro-Velzquez, Jess Villalba, Najim Dehak |
| 2020 | ICASSP | Unsupervised Feature Enhancement for Speaker Verification. | Phani Sankar Nidadavolu, Saurabh Kataria, Jess Villalba, L. Paola Garca-Perera, Najim Dehak |
| 2020 | ICASSP | X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. | Raghavendra Pappagari, Tianzi Wang, Jess Villalba, Nanxin Chen, Najim Dehak |
| 2020 | Interspeech | 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 |
| 2020 | Interspeech | Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery. | Saurabhchand Bhati, Jess Villalba, Piotr Zelasko, Najim Dehak |
| 2020 | Interspeech | Learning Speaker Embedding from Text-to-Speech. | Jaejin Cho, Piotr Zelasko, Jess Villalba, Shinji Watanabe, Najim Dehak |
| 2020 | Interspeech | 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-Velzquez, Najim Dehak |
| 2020 | Interspeech | x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification. | Jess Villalba, Yuekai Zhang, Najim Dehak |
| 2020 | Interspeech | That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. | Piotr Zelasko, Laureano Moro-Velzquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak |
| 2020 | Interspeech | Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples. | Yuekai Zhang, Ziyan Jiang, Jess Villalba, Najim Dehak |
| 2019 | ASRU | Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-Gans. | Phani Sankar Nidadavolu, Saurabh Kataria, Jess Villalba, Najim Dehak |
| 2019 | ASRU | Hierarchical Transformers for Long Document Classification. | Raghavendra Pappagari, Piotr Zelasko, Jess Villalba, Yishay Carmiel, Najim Dehak |
| 2019 | ICASSP | Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. | Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jess Villalba, Najim Dehak |
| 2019 | ICASSP | Attentive Filtering Networks for Audio Replay Attack Detection. | Cheng-I Lai, Alberto Abad, Korin Richmond, Junichi Yamagishi, Najim Dehak, Simon King |
| 2019 | ICASSP | Investigation on Neural Bandwidth Extension of Telephone Speech for Improved Speaker Recognition. | Phani Sankar Nidadavolu, Vicente Iglesias, Jess Villalba, Najim Dehak |
| 2019 | ICASSP | Cycle-GANs for Domain Adaptation of Acoustic Features for Speaker Recognition. | Phani Sankar Nidadavolu, Jess Villalba, Najim Dehak |
| 2019 | Interspeech | Unsupervised Acoustic Segmentation and Clustering Using Siamese Network Embeddings. | Saurabhchand Bhati, Shekhar Nayak, K. Sri Rama Murty, Najim Dehak |
| 2019 | Interspeech | Tied Mixture of Factor Analyzers Layer to Combine Frame Level Representations in Neural Speaker Embeddings. | Nanxin Chen, Jess Villalba, Najim Dehak |
| 2019 | Interspeech | ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks. | Cheng-I Lai, Nanxin Chen, Jess Villalba, Najim Dehak |
| 2019 | Interspeech | Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. | Laureano Moro-Velzquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak |
| 2019 | Interspeech | 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 |
| 2019 | Interspeech | MCE 2018: The 1st Multi-Target Speaker Detection and Identification Challenge Evaluation. | Suwon Shon, Najim Dehak, Douglas A. Reynolds, James R. Glass |
| 2019 | Interspeech | The JHU Speaker Recognition System for the VOiCES 2019 Challenge. | David Snyder, Jess Villalba, Nanxin Chen, Daniel Povey, Gregory Sell, Najim Dehak, Sanjeev Khudanpur |
| 2019 | Interspeech | State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. | Jess Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Jonas Borgstrom, Fred Richardson, Suwon Shon, Franois Grondin, Rda Dehak, Leibny Paola Garca-Perera, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak |
| 2019 | Interspeech | Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings. | Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur |
| 2018 | ICASSP | Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech. | Nanxin Chen, Jess Villalba, Yishay Carmiel, Najim Dehak |
| 2018 | ICASSP | Characterizing Performance of Speaker Diarization Systems on Far-Field Speech Using Standard Methods. | Matthew Maciejewski, David Snyder, Vimal Manohar, Najim Dehak, Sanjeev Khudanpur |
| 2018 | ICASSP | Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification. | Raghavendra Pappagari, Jess Villalba, Najim Dehak |
| 2018 | Interspeech | An Investigation of Non-linear i-vectors for Speaker Verification. | Nanxin Chen, Jess Villalba, Najim Dehak |
| 2018 | Interspeech | Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. | Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jess Villalba, Yishay Carmiel, Najim Dehak |
| 2018 | Interspeech | Effectiveness of Single-Channel BLSTM Enhancement for Language Identification. | Peter Sibbern Frederiksen, Jess Villalba, Shinji Watanabe, Zheng-Hua Tan, Najim Dehak |
| 2018 | Interspeech | End-to-end Deep Neural Network Age Estimation. | Pegah Ghahremani, Phani Sankar Nidadavolu, Nanxin Chen, Jess Villalba, Daniel Povey, Sanjeev Khudanpur, Najim Dehak |
| 2018 | Interspeech | Investigation on Bandwidth Extension for Speaker Recognition. | Phani Sankar Nidadavolu, Cheng-I Lai, Jess Villalba, Najim Dehak |
| 2018 | Interspeech | Emotion Identification from Raw Speech Signals Using DNNs. | Mousmita Sarma, Pegah Ghahremani, Daniel Povey, Nagendra Kumar Goel, Kandarpa Kumar Sarma, Najim Dehak |
| 2018 | Interspeech | Visualizing Phoneme Category Adaptation in Deep Neural Networks. | Odette Scharenborg, Sebastian Tiesmeyer, Mark Hasegawa-Johnson, Najim Dehak |
| 2018 | Interspeech | 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, Jess Villalba, Matthew Maciejewski, Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur |
| 2018 | Interspeech | 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 |
| 2018 | Interspeech | Punctuation Prediction Model for Conversational Speech. | Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak |
| 2017 | ICASSP | Topic identification of spoken documents using unsupervised acoustic unit discovery. | Santosh Kesiraju, Raghavendra Pappagari, Lucas Ondel, Luks Burget, Najim Dehak, Sanjeev Khudanpur, Jan Cernock, Suryakanth V. Gangashetty |
| 2017 | ICASSP | 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, Luks Burget, Sanjeev Khudanpur |
| 2017 | ICASSP | Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. | Juan Camilo Vsquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nth, Najim Dehak, Heidi Christensen, Frank Rudzicz, Tobias Bocklet, Milos Cernak, Hamid R. Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Maria Yancheva, Alyssa Vann, Nikolai Vogler |
| 2017 | Interspeech | Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors. | Nicanor Garca, Juan Rafael Orozco-Arroyave, Luis Fernando D'Haro, Najim Dehak, Elmar Nth |
| 2017 | Interspeech | 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, Rda Dehak |
| 2017 | Interspeech | Tied Variational Autoencoder Backends for i-Vector Speaker Recognition. | Jess Villalba, Niko Brmmer, Najim Dehak |
| 2016 | Interspeech | Automatic Dialect Detection in Arabic Broadcast Speech. | Ahmed Ali, Najim Dehak, Patrick Cardinal, Sameer Khurana, Sree Harsha Yella, James R. Glass, Peter Bell, Steve Renals |
| 2016 | Interspeech | Exploiting Hidden-Layer Responses of Deep Neural Networks for Language Recognition. | Ruizhi Li, Sri Harish Reddy Mallidi, Luks Burget, Oldrich Plchot, Najim Dehak |
| 2016 | Interspeech | Native Language Detection Using the I-Vector Framework. | Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak, Alessandro L. Koerich |
| 2015 | Interspeech | Speaker adaptation using the i-vector technique for bottleneck features. | Patrick Cardinal, Najim Dehak, Yu Zhang, James R. Glass |
| 2015 | Interspeech | A unified deep neural network for speaker and language recognition. | Fred Richardson, Douglas A. Reynolds, Najim Dehak |
| 2014 | Interspeech | Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera. | Patrick Cardinal, Ahmed Ali, Najim Dehak, Yu Zhang, Tuka Al Hanai, Yifan Zhang, James R. Glass, Stephan Vogel |
| 2014 | Interspeech | Limited labels for unlimited data: active learning for speaker recognition. | Stephen H. Shum, Najim Dehak, James R. Glass |
| 2013 | ICASSP | 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, Zheng-Hua Tan, Samuel Thomas, Bing Zhang, Xinhui Zhou |
| 2013 | Interspeech | Bayesian distance metric learning on i-vector for speaker verification. | Xiao Fang, Najim Dehak, James R. Glass |
| 2013 | Interspeech | New cosine similarity scorings to implement gender-independent speaker verification. | Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouchel, Najim Dehak |
| 2012 | Interspeech | Patrol Team Language Identification System for DARPA RATS P1 Evaluation. | Pavel Matejka, Oldrich Plchot, Mehdi Soufifar, Ondrej Glembek, Luis Fernando D'Haro, Karel Vesel, Frantisek Grzl, Jeff Z. Ma, Spyros Matsoukas, Najim Dehak |
| 2012 | Interspeech | On the Use of Spectral and Iterative Methods for Speaker Diarization. | Stephen Shum, Najim Dehak, Jim Glass |
| 2011 | ICASSP | A channel-blind system for speaker verification. | Najim Dehak, Zahi N. Karam, Douglas A. Reynolds, Rda Dehak, William M. Campbell, James R. Glass |
| 2011 | ICASSP | Towards reduced false-alarms using cohorts. | Zahi N. Karam, William M. Campbell, Najim Dehak |
| 2011 | ICASSP | 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 |
| 2011 | Interspeech | Language Recognition via i-vectors and Dimensionality Reduction. | Najim Dehak, Pedro A. Torres-Carrasquillo, Douglas A. Reynolds, Rda Dehak |
| 2011 | Interspeech | Exploiting Intra-Conversation Variability for Speaker Diarization. | Stephen Shum, Najim Dehak, Ekapol Chuangsuwanich, Douglas A. Reynolds, James R. Glass |
| 2009 | ICASSP | Support vector machines and Joint Factor Analysis for speaker verification. | Najim Dehak, Patrick Kenny, Rda Dehak, Ondrej Glembek, Pierre Dumouchel, Luks Burget, Valiantsina Hubeika, Fabio Castaldo |
| 2009 | ICASSP | Comparison of scoring methods used in speaker recognition with Joint Factor Analysis. | Ondrej Glembek, Luks Burget, Najim Dehak, Niko Brmmer, Patrick Kenny |
| 2009 | Interspeech | Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. | Najim Dehak, Rda Dehak, Patrick Kenny, Niko Brmmer, Pierre Ouellet, Pierre Dumouchel |
| 2009 | Interspeech | Cepstral and long-term features for emotion recognition. | Pierre Dumouchel, Najim Dehak, Yazid Attabi, Rda Dehak, Narjs Boufaden |
| 2008 | Interspeech | Development of the primary CRIM system for the NIST 2008 speaker recognition evaluation. | Patrick Kenny, Najim Dehak, Pierre Ouellet, Vishwa Gupta, Pierre Dumouchel |
| 2007 | Interspeech | Linear and non linear kernel GMM supervector machines for speaker verification. | Rda Dehak, Najim Dehak, Patrick Kenny, Pierre Dumouchel |
| 2007 | Interspeech | Continuous prosodic features and formant modeling with joint factor analysis for speaker verification. | Najim Dehak, Patrick Kenny, Pierre Dumouchel |
| 2006 | ICPR | GMM-based SVM for face recognition. | Herv Bredin, Najim Dehak, Grard Chollet |