Ankur Bapna

According to our database, Ankur Bapna authored at least 59 papers between 2017 and 2024.

Collaborative distances:

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

2024

STAB: Speech Tokenizer Assessment Benchmark.

Shikhar Vashishth, Harman Singh, Shikhar Bharadwaj, Sriram Ganapathy, Chulayuth Asawaroengchai, Kartik Audhkhasi, Andrew Rosenberg, Ankur Bapna, Bhuvana Ramabhadran

CoRR, 2024

Multimodal Modeling for Spoken Language Identification.

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multimodal Modeling For Spoken Language Identification.

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa

CoRR, 2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset.

Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A. Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

CoRR, 2023

AudioPaLM: A Large Language Model That Can Speak and Listen.

Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank

CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu

CoRR, 2023

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations.

Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset.

Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

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

PronScribe: Highly Accurate Multimodal Phonemic Transcription From Speech and Text.

Yang Yu, Matthew Perez, Ankur Bapna, Fadi Haik, Siamak Tazari, Yu Zhang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Label Aware Speech Representation Learning For Language Identification.

Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus.

Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Mu²SLAM: Multitask, Multilingual Speech and Language Models.

Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna

Proceedings of the International Conference on Machine Learning, 2023

Understanding Shared Speech-Text Representations.

Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

SQuId: Measuring Speech Naturalness in Many Languages.

Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa

Proceedings of the IEEE International Conference on Acoustics, 2023

Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech.

Takaaki Saeki, Heiga Zen, Zhehuai Chen, Nobuyuki Morioka, Gary Wang, Yu Zhang, Ankur Bapna, Andrew Rosenberg, Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.

Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Balli, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi

Trans. Assoc. Comput. Linguistics, 2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

mSLAM: Massively multilingual joint pre-training for speech and text.

Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau

CoRR, 2022

Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning.

Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia

CoRR, 2022

JOIST: A Joint Speech and Text Streaming Model for ASR.

Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech.

Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR.

Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation.

Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobu Morioka

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

XTREME-S: Evaluating Cross-lingual Speech Representations.

Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

MAESTRO: Matched Speech Text Representations through Modality Matching.

Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, Heiga Zen

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation.

Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

Scaling Laws for Neural Machine Translation.

Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry

Proceedings of the Tenth International Conference on Learning Representations, 2022

Joint Unsupervised and Supervised Training for Multilingual ASR.

Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2022

Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents.

Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation.

Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training.

Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang

CoRR, 2021

Gradient-guided Loss Masking for Neural Machine Translation.

Xinyi Wang, Ankur Bapna, Melvin Johnson, Orhan Firat

CoRR, 2021

Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation.

Biao Zhang, Ankur Bapna, Rico Sennrich, Orhan Firat

Proceedings of the 9th International Conference on Learning Representations, 2021

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.

Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Controlling Computation versus Quality for Neural Sequence Models.

Ankur Bapna, Naveen Arivazhagan, Orhan Firat

CoRR, 2020

Faster Transformer Decoding: N-gram Masked Self-Attention.

Ciprian Chelba, Mia Xu Chen, Ankur Bapna, Noam Shazeer

CoRR, 2020

Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus.

Isaac Caswell, Theresa Breiner, Daan van Esch, Ankur Bapna

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.

Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation.

Sébastien Jean, Ankur Bapna, Orhan Firat

CoRR, 2019

Simple, Scalable Adaptation for Neural Machine Translation.

Ankur Bapna, Naveen Arivazhagan, Orhan Firat

CoRR, 2019

Investigating Multilingual NMT Representations at Scale.

Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Naveen Arivazhagan, Orhan Firat

CoRR, 2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

CoRR, 2019

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.

Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu

CoRR, 2019

The Missing Ingredient in Zero-Shot Neural Machine Translation.

Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, Wolfgang Macherey

CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-Parametric Adaptation for Neural Machine Translation.

Ankur Bapna, Orhan Firat

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model.

Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee

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

Investigating Multilingual NMT Representations at Scale.

Sneha Reddy Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Simple, Scalable Adaptation for Neural Machine Translation.

Ankur Bapna, Orhan Firat

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.

Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Niki Parmar, Mike Schuster, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2018

Building a Conversational Agent Overnight with Dialogue Self-Play.

Pararth Shah, Dilek Hakkani-Tür, Gökhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, Larry P. Heck

CoRR, 2018

Revisiting Character-Based Neural Machine Translation with Capacity and Compression.

Colin Cherry, George F. Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Training Deeper Neural Machine Translation Models with Transparent Attention.

Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.

Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Improving Frame Semantic Parsing with Hierarchical Dialogue Encoders.

Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck

CoRR, 2017

Sequential Dialogue Context Modeling for Spoken Language Understanding.

Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling.

Ankur Bapna, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017