InfiniteBoost: building infinite ensembles with gradient descent. - Alex Rogozhnikov; Tatiana Likhomanenko (CoRR, 2017)

Who Needs Words? Lexicon-Free Speech Recognition. - Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2019)

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. - Gabriel Synnaeve; Qiantong Xu; Jacob Kahn; Edouard Grave; Tatiana Likhomanenko; Vineel Pratap; Anuroop Sriram; Vitaliy Liptchinsky; Ronan Collobert (CoRR, 2019)

Libri-Light: A Benchmark for ASR with Limited or No Supervision. - Jacob Kahn; Morgane Rivière; Weiyi Zheng; Evgeny Kharitonov; Qiantong Xu; Pierre-Emmanuel Mazaré; Julien Karadayi; Vitaliy Liptchinsky; Ronan Collobert; Christian Fuegen; Tatiana Likhomanenko; Gabriel Synnaeve; et al. (ICASSP, 2020)

Scaling Up Online Speech Recognition Using ConvNets. - Vineel Pratap; Qiantong Xu; Jacob Kahn; Gilad Avidov; Tatiana Likhomanenko; Awni Y. Hannun; Vitaliy Liptchinsky; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Iterative Pseudo-Labeling for Speech Recognition. - Qiantong Xu; Tatiana Likhomanenko; Jacob Kahn; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. - Vimal Manohar; Tatiana Likhomanenko; Qiantong Xu; Wei-Ning Hsu; Ronan Collobert; Yatharth Saraf; Geoffrey Zweig; Abdelrahman Mohamed (ASRU, 2021)

Joint Masked CPC And CTC Training For ASR. - Chaitanya Talnikar; Tatiana Likhomanenko; Ronan Collobert; Gabriel Synnaeve (ICASSP, 2021)

Self-Training and Pre-Training are Complementary for Speech Recognition. - Qiantong Xu; Alexei Baevski; Tatiana Likhomanenko; Paden Tomasello; Alexis Conneau; Ronan Collobert; Gabriel Synnaeve; Michael Auli (ICASSP, 2021)

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. - Wei-Ning Hsu; Anuroop Sriram; Alexei Baevski; Tatiana Likhomanenko; Qiantong Xu; Vineel Pratap; Jacob Kahn; Ann Lee 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 2021)

slimIPL: Language-Model-Free Iterative Pseudo-Labeling. - Tatiana Likhomanenko; Qiantong Xu; Jacob Kahn; Gabriel Synnaeve; Ronan Collobert (Interspeech, 2021)

Rethinking Evaluation in ASR: Are Our Models Robust Enough? - Tatiana Likhomanenko; Qiantong Xu; Vineel Pratap; Paden Tomasello; Jacob Kahn; Gilad Avidov; Ronan Collobert; Gabriel Synnaeve (Interspeech, 2021)

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. - Tatiana Likhomanenko; Qiantong Xu; Gabriel Synnaeve; Ronan Collobert; Alex Rogozhnikov (NeurIPS, 2021)

Pseudo-Labeling for Massively Multilingual Speech Recognition. - Loren Lugosch; Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (ICASSP, 2022)

Word Order does not Matter for Speech Recognition. - Vineel Pratap; Qiantong Xu; Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (ICASSP, 2022)

Continuous Soft Pseudo-Labeling in ASR. - Tatiana Likhomanenko; Ronan Collobert; Navdeep Jaitly; Samy Bengio (ICBINB, 2022)

Flashlight: Enabling Innovation in Tools for Machine Learning. - Jacob D. Kahn; Vineel Pratap; Tatiana Likhomanenko; Qiantong Xu; Awni Y. Hannun; Jeff Cai; Paden Tomasello; Ann Lee 001; Edouard Grave; Gilad Avidov; Benoit Steiner; Vitaliy Liptchinsky; et al. (ICML, 2022)

Position Prediction as an Effective Pretraining Strategy. - Shuangfei Zhai; Navdeep Jaitly; Jason Ramapuram; Dan Busbridge; Tatiana Likhomanenko; Joseph Y. Cheng; Walter Talbott; Chen Huang 001; Hanlin Goh; Joshua M. Susskind (ICML, 2022)

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. - Mozhdeh Gheini; Tatiana Likhomanenko; Matthias Sperber; Hendra Setiawan (ACL (Findings), 2023)

Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. - Sheikh Shams Azam; Tatiana Likhomanenko; Martin Pelikan; Jan Honza Silovsky (ASRU, 2023)

More Speaking or More Speakers? - Dan Berrebbi; Ronan Collobert; Navdeep Jaitly; Tatiana Likhomanenko (ICASSP, 2023)

Continuous pseudo-labeling from the start. - Dan Berrebbi; Ronan Collobert; Samy Bengio; Navdeep Jaitly; Tatiana Likhomanenko (ICLR, 2023)

Stabilizing Transformer Training by Preventing Attention Entropy Collapse. - Shuangfei Zhai; Tatiana Likhomanenko; Etai Littwin; Dan Busbridge; Jason Ramapuram; Yizhe Zhang 002; Jiatao Gu; Joshua M. Susskind (ICML, 2023)

How to Scale Your EMA. - Dan Busbridge; Jason Ramapuram; Pierre Ablin; Tatiana Likhomanenko; Eeshan Gunesh Dhekane; Xavier Suau Cuadros; Russell Webb (NeurIPS, 2023)

Unsupervised ASR via Cross-Lingual Pseudo-Labeling. - Tatiana Likhomanenko; Loren Lugosch; Ronan Collobert (CoRR, 2023)

VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. - Haoping Bai; Shancong Mou; Tatiana Likhomanenko; Ramazan Gokberk Cinbis; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001; Meng Cao (CoRR, 2023)

Federated Learning with Differential Privacy for End-to-End Speech Recognition. - Martin Pelikan; Sheikh Shams Azam; Vitaly Feldman; Jan Honza Silovsky; Kunal Talwar; Tatiana Likhomanenko (CoRR, 2023)

AV-CPL: Continuous Pseudo-labeling for Audio-Visual Speech Recognition. - Andrew Rouditchenko; Ronan Collobert; Tatiana Likhomanenko (ECCV Workshops (19), 2024)

Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? - Zakaria Aldeneh; Takuya Higuchi; Jee-weon Jung; Skyler Seto; Tatiana Likhomanenko; Stephen Shum; Ahmed Hussen Abdelaziz; Shinji Watanabe 001; Barry-John Theobald (INTERSPEECH, 2024)

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; He Bai 002; Erik McDermott; Ronan Collobert; Navdeep Jaitly (CoRR, 2024)

dMel: Speech Tokenization made Simple. - He Bai 002; Tatiana Likhomanenko; Ruixiang Zhang; Zijin Gu; Zakaria Aldeneh; Navdeep Jaitly (CoRR, 2024)

Generating Gender Alternatives in Machine Translation. - Sarthak Garg; Mozhdeh Gheini; Clara Emmanuel; Tatiana Likhomanenko; Qin Gao; Matthias Paulik (CoRR, 2024)

Visatronic: A Multimodal Decoder-Only Model for Speech Synthesis. - Akshita Gupta; Tatiana Likhomanenko; Karren Dai Yang; Richard He Bai; Zakaria Aldeneh; Navdeep Jaitly (CoRR, 2024)

Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels. - Zakaria Aldeneh; Takuya Higuchi; Jee-Weon Jung; Li-Wei Chen; Stephen Shum; Ahmed Hussen Abdelaziz; Shinji Watanabe 001; Tatiana Likhomanenko; Barry-John Theobald (ICASSP, 2025)

Towards Automatic Assessment of Self-Supervised Speech Models using Rank. - Zakaria Aldeneh; Vimal Thilak; Takuya Higuchi; Barry-John Theobald; Tatiana Likhomanenko (ICASSP, 2025)

Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models. - Li-Wei Chen; Takuya Higuchi; He Bai 013; Ahmed Hussen Abdelaziz; Shinji Watanabe 001; Alexander Rudnicky; Tatiana Likhomanenko; Barry-John Theobald; Zakaria Aldeneh (ICASSP, 2025)

Theory, Analysis, and Best Practices for Sigmoid Self-Attention. - Jason Ramapuram; Federico Danieli; Eeshan Gunesh Dhekane; Floris Weers; Dan Busbridge; Pierre Ablin; Tatiana Likhomanenko; Jagrit Digani; Zijin Gu; Amitis Shidani; Russell Webb (ICLR, 2025)

SpeakStream: Streaming Text-to-Speech with Interleaved Data. - Richard He Bai; Zijin Gu; Tatiana Likhomanenko; Navdeep Jaitly (CoRR, 2025)

DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective. - Hyung-Gun Chi; Zakaria Aldeneh; Tatiana Likhomanenko; Oggi Rudovic; Takuya Higuchi; Li-Wei Chen; Shinji Watanabe 001; Ahmed Hussen Abdelaziz (CoRR, 2025)

Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; Navdeep Jaitly (CoRR, 2025)