Tatiana Likhomanenko

According to our database, Tatiana Likhomanenko authored at least 36 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Tatiana Likhomanenko, Barry-John Theobald

CoRR, 2024

Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models.

Li-Wei Chen, Takuya Higuchi, He Bai, Ahmed Hussen Abdelaziz, Alexander Rudnicky, Shinji Watanabe, Tatiana Likhomanenko, Barry-John Theobald, Zakaria Aldeneh

CoRR, 2024

Towards Automatic Assessment of Self-Supervised Speech Models using Rank.

Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko

CoRR, 2024

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, Russ Webb

CoRR, 2024

Generating Gender Alternatives in Machine Translation.

Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel, Tatiana Likhomanenko, Qin Gao, Matthias Paulik

CoRR, 2024

dMel: Speech Tokenization made Simple.

He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly

CoRR, 2024

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition.

Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly

CoRR, 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, Barry-John Theobald

CoRR, 2024

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

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, Meng Cao

CoRR, 2023

Unsupervised ASR via Cross-Lingual Pseudo-Labeling.

Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert

CoRR, 2023

How to Scale Your EMA.

Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stabilizing Transformer Training by Preventing Attention Entropy Collapse.

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2023

Continuous pseudo-labeling from the start.

Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the Eleventh International Conference on Learning Representations, 2023

More Speaking or More Speakers?

Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data.

Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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, Hanlin Goh, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 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, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the International Conference on Machine Learning, 2022

Continuous Soft Pseudo-Labeling in ASR.

Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

Word Order does not Matter for Speech Recognition.

Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2022

Pseudo-Labeling for Massively Multilingual Speech Recognition.

Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings.

Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

slimIPL: Language-Model-Free Iterative Pseudo-Labeling.

Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 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, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 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

Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Masked CPC And CTC Training For ASR.

Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Iterative Pseudo-Labeling for Speech Recognition.

Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Who Needs Words? Lexicon-Free Speech Recognition.

Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2017

InfiniteBoost: building infinite ensembles with gradient descent.

Alex Rogozhnikov, Tatiana Likhomanenko

CoRR, 2017