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ORCIDTara N. Sainath
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- affiliation: Google Inc., New York, NY, USA
- affiliation: IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
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2020 – today
- 2024
[j11]Rohit Prabhavalkar
, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe:
End-to-End Speech Recognition: A Survey. IEEE ACM Trans. Audio Speech Lang. Process. 32: 325-351 (2024)- [c183]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. ACL (1) 2024: 2078-2093 - [c182]Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath:
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP 2024: 6900-6904 - [c181]Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal:
USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP 2024: 10756-10760 - [c180]Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman:
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. ICASSP 2024: 10841-10845 - [c179]Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno:
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. ICASSP 2024: 11816-11820 - [c178]Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath:
Augmenting Conformers With Structured State-Space Sequence Models For Online Speech Recognition. ICASSP 2024: 12221-12225 - [c177]Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar:
Improving Speech Recognition for African American English with Audio Classification. ICASSP 2024: 12356-12360 - [c176]W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath:
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. ICASSP 2024: 13306-13310 - [c175]Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar:
Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT 2024: 6206-6217 - [i96]Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman:
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. CoRR abs/2401.08992 (2024) - [i95]W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath:
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR abs/2401.12789 (2024) - [i94]Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N. Sainath, Philip C. Woodland:
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation. CoRR abs/2402.12862 (2024) - [i93]Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno:
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. CoRR abs/2402.17184 (2024) - [i92]Tsendsuren Munkhdalai, Youzheng Chen, Khe Chai Sim, Fadi Biadsy, Tara N. Sainath, Pedro Moreno Mengibar:
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. CoRR abs/2403.19709 (2024) - [i91]Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran:
Text Injection for Neural Contextual Biasing. CoRR abs/2406.02921 (2024) - 2023
- [c174]Guru Prakash Arumugam, Shuo-Yiin Chang, Tara N. Sainath, Rohit Prabhavalkar, Quan Wang, Shaan Bijwadia:
Improved Long-Form Speech Recognition By Jointly Modeling The Primary And Non-Primary Speakers. ASRU 2023: 1-8 - [c173]Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He:
Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. ASRU 2023: 1-8 - [c172]Ke Hu, Tara N. Sainath, Bo Li, Yu Zhang, Yong Cheng, Tao Wang, Yujing Zhang, Frederick Liu:
Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text. ASRU 2023: 1-7 - [c171]Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR. ICASSP 2023: 1-5 - [c170]Shuo-Yiin Chang, Chao Zhang, Tara N. Sainath, Bo Li, Trevor Strohman:
Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. ICASSP 2023: 1-5 - [c169]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. ICASSP 2023: 1-5 - [c168]Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman:
Massively Multilingual Shallow Fusion with Large Language Models. ICASSP 2023: 1-5 - [c167]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP 2023: 1-5 - [c166]Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman:
Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. ICASSP 2023: 1-5 - [c165]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. ICASSP 2023: 1-5 - [c164]Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran:
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP 2023: 1-5 - [c163]Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath:
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP 2023: 1-5 - [c162]Tara N. Sainath, Rohit Prabhavalkar, Diamantino Caseiro, Pat Rondon, Cyril Allauzen:
Improving Contextual Biasing with Text Injection. ICASSP 2023: 1-5 - [c161]Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar:
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP 2023: 1-5 - [c160]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman:
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP 2023: 1-5 - [c159]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. ICASSP 2023: 1-5 - [c158]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer For Multilingual Asr. ICASSP 2023: 1-5 - [c157]Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath:
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023: 456-460 - [c156]Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar:
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH 2023: 556-560 - [c155]Cal Peyser, Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu:
Improving Joint Speech-Text Representations Without Alignment. INTERSPEECH 2023: 1354-1358 - [c154]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH 2023: 2778-2782 - [c153]Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Françoise Beaufays:
Mixture-of-Expert Conformer for Streaming Multilingual ASR. INTERSPEECH 2023: 3327-3331 - [c152]Qiujia Li, Bo Li, Dongseong Hwang, Tara N. Sainath, Pedro Moreno Mengibar:
Modular Domain Adaptation for Conformer-Based Streaming ASR. INTERSPEECH 2023: 3357-3361 - [i90]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. CoRR abs/2301.04327 (2023) - [i89]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman:
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR abs/2301.07851 (2023) - [i88]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. CoRR abs/2302.01496 (2023) - [i87]Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran:
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. CoRR abs/2302.08583 (2023) - [i86]Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman:
Massively Multilingual Shallow Fusion with Large Language Models. CoRR abs/2302.08917 (2023) - [i85]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer for Multilingual ASR. CoRR abs/2302.11186 (2023) - [i84]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:
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR abs/2303.01037 (2023) - [i83]Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe:
End-to-End Speech Recognition: A Survey. CoRR abs/2303.03329 (2023) - [i82]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. CoRR abs/2303.08343 (2023) - [i81]Sepand Mavandadi, Tara N. Sainath, Ke Hu, Zelin Wu:
A Deliberation-based Joint Acoustic and Text Decoder. CoRR abs/2303.15293 (2023) - [i80]Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu:
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR abs/2304.00171 (2023) - [i79]Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR. CoRR abs/2304.00173 (2023) - [i78]Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath:
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR abs/2304.11053 (2023) - [i77]Qiujia Li, Bo Li, Dongseong Hwang, Tara N. Sainath, Pedro Moreno Mengibar:
Modular Domain Adaptation for Conformer-Based Streaming ASR. CoRR abs/2305.13408 (2023) - [i76]Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Françoise Beaufays:
Mixture-of-Expert Conformer for Streaming Multilingual ASR. CoRR abs/2305.15663 (2023) - [i75]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR abs/2305.18419 (2023) - [i74]Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath:
How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR abs/2306.01015 (2023) - [i73]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:
AudioPaLM: A Large Language Model That Can Speak and Listen. CoRR abs/2306.12925 (2023) - [i72]Cal Peyser, Zhong Meng, Ke Hu, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Improving Joint Speech-Text Representations Without Alignment. CoRR abs/2308.06125 (2023) - [i71]Shaan Bijwadia, Shuo-Yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang, Tara N. Sainath:
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models. CoRR abs/2308.07395 (2023) - [i70]Haozhe Shan, Albert Gu, Zhong Meng, Weiran Wang, Krzysztof Choromanski, Tara N. Sainath:
Augmenting conformers with structured state space models for online speech recognition. CoRR abs/2309.08551 (2023) - [i69]Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar:
Improving Speech Recognition for African American English With Audio Classification. CoRR abs/2309.09996 (2023) - [i68]Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar:
Massive End-to-end Models for Short Search Queries. CoRR abs/2309.12963 (2023) - [i67]Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar:
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR abs/2310.00178 (2023) - [i66]Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Shivani Agrawal, Zhonglin Han, Jian Li, Amir Yazdanbakhsh:
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR abs/2312.08553 (2023) - [i65]Guru Prakash Arumugam, Shuo-Yiin Chang, Tara N. Sainath, Rohit Prabhavalkar, Quan Wang, Shaan Bijwadia:
Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers. CoRR abs/2312.11123 (2023) - 2022
- [j10]Hung-Yi Lee, Shinji Watanabe, Karen Livescu, Abdelrahman Mohamed, Tara N. Sainath:
Editorial Editorial of Special Issue on Self-Supervised Learning for Speech and Audio Processing. IEEE J. Sel. Top. Signal Process. 16(6): 1174-1178 (2022) - [j9]Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe:
Self-Supervised Speech Representation Learning: A Review. IEEE J. Sel. Top. Signal Process. 16(6): 1179-1210 (2022) - [j8]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16(6): 1519-1532 (2022) - [c151]Bo Li, Ruoming Pang, Yu Zhang, Tara N. Sainath, Trevor Strohman, Parisa Haghani, Yun Zhu, Brian Farris, Neeraj Gaur, Manasa Prasad:
Massively Multilingual ASR: A Lifelong Learning Solution. ICASSP 2022: 6397-6401 - [c150]Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath:
Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP 2022: 6402-6406 - [c149]Weiran Wang, Ke Hu, Tara N. Sainath:
Deliberation of Streaming RNN-Transducer by Non-Autoregressive Decoding. ICASSP 2022: 7452-7456 - [c148]Ke Hu, Tara N. Sainath, Arun Narayanan, Ruoming Pang, Trevor Strohman:
Transducer-Based Streaming Deliberation for Cascaded Encoders. ICASSP 2022: 8107-8111 - [c147]Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang:
Improving The Latency And Quality Of Cascaded Encoders. ICASSP 2022: 8112-8116 - [c146]Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang:
Improving the Fusion of Acoustic and Text Representations in RNN-T. ICASSP 2022: 8117-8121 - [c145]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH 2022: 689-693 - [c144]Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH 2022: 1031-1035 - [c143]Weiran Wang, Ke Hu, Tara N. Sainath:
Streaming Align-Refine for Non-autoregressive Deliberation. INTERSPEECH 2022: 1696-1700 - [c142]Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH 2022: 1706-1710 - [c141]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. INTERSPEECH 2022: 1821-1825 - [c140]Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Tara N. Sainath, Bo Li, Qiao Liang, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman:
Streaming Intended Query Detection using E2E Modeling for Continued Conversation. INTERSPEECH 2022: 1826-1830 - [c139]Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani:
A Language Agnostic Multilingual Streaming On-Device ASR System. INTERSPEECH 2022: 3188-3192 - [c138]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. INTERSPEECH 2022: 3223-3227 - [c137]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. INTERSPEECH 2022: 3603-3607 - [c136]Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang:
Improving Deliberation by Text-Only and Semi-Supervised Training. INTERSPEECH 2022: 4940-4944 - [c135]W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen:
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. INTERSPEECH 2022: 4995-4999 - [c134]Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman:
JOIST: A Joint Speech and Text Streaming Model for ASR. SLT 2022: 52-59 - [c133]Tsendsuren Munkhdalai, Zelin Wu, Golan Pundak, Khe Chai Sim, Jiayang Li, Pat Rondon, Tara N. Sainath:
NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. SLT 2022: 190-196 - [c132]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. SLT 2022: 245-251 - [c131]Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. SLT 2022: 310-316 - [c130]Ke Hu, Bo Li, Tara N. Sainath:
Scaling Up Deliberation For Multilingual ASR. SLT 2022: 771-776 - [c129]Sepand Mavandadi, Bo Li, Chao Zhang, Brian Farris, Tara N. Sainath, Trevor Strohman:
A Truly Multilingual First Pass and Monolingual Second Pass Streaming on-Device ASR System. SLT 2022: 838-845 - [i64]Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang:
Improving the fusion of acoustic and text representations in RNN-T. CoRR abs/2201.10240 (2022) - [i63]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR abs/2203.05008 (2022) - [i62]Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR abs/2204.06164 (2022) - [i61]Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. CoRR abs/2204.07553 (2022) - [i60]Weiran Wang, Ke Hu, Tara N. Sainath:
Streaming Align-Refine for Non-autoregressive Deliberation. CoRR abs/2204.07556 (2022) - [i59]W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu:
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. CoRR abs/2204.10749 (2022) - [i58]Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe:
Self-Supervised Speech Representation Learning: A Review. CoRR abs/2205.10643 (2022) - [i57]Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang:
Improving Deliberation by Text-Only and Semi-Supervised Training. CoRR abs/2206.14716 (2022) - [i56]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. CoRR abs/2208.13191 (2022) - [i55]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. CoRR abs/2208.13321 (2022) - [i54]Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Qiao Liang, Tara N. Sainath, Bo Li, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman:
Streaming Intended Query Detection using E2E Modeling for Continued Conversation. CoRR abs/2208.13322 (2022) - [i53]Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani:
A Language Agnostic Multilingual Streaming On-Device ASR System. CoRR abs/2208.13916 (2022) - [i52]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. CoRR abs/2209.06058 (2022) - [i51]Ke Hu, Bo Li, Tara N. Sainath:
Scaling Up Deliberation for Multilingual ASR. CoRR abs/2210.05785 (2022) - [i50]Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman:
JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR abs/2210.07353 (2022) - [i49]Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. CoRR abs/2211.00786 (2022) - [i48]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. CoRR abs/2211.01263 (2022) - [i47]Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman:
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion. CoRR abs/2211.02712 (2022) - [i46]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR abs/2211.15432 (2022) - 2021
- [c128]Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai:
Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU 2021: 1011-1018 - [c127]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. ICASSP 2021: 5629-5633 - [c126]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster end-to-end Model for Streaming ASR. ICASSP 2021: 5634-5638 - [c125]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. ICASSP 2021: 5659-5663 - [c124]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. ICASSP 2021: 5669-5673 - [c123]Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang:
FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. ICASSP 2021: 6004-6008 - [c122]David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw:
Learning Word-Level Confidence for Subword End-To-End ASR. ICASSP 2021: 6393-6397 - [c121]Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang:
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling. ICLR 2021 - [c120]Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Ruoming Pang, David Rybach, Cyril Allauzen, Ehsan Variani, James Qin, Quoc-Nam Le-The, Shuo-Yiin Chang, Bo Li, Anmol Gulati, Jiahui Yu, Chung-Cheng Chiu, Diamantino Caseiro, Wei Li, Qiao Liang, Pat Rondon:
An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. Interspeech 2021: 1777-1781 - [c119]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech 2021: 2002-2006 - [c118]Sepand Mavandadi, Tara N. Sainath, Ke Hu, Zelin Wu:
A Deliberation-Based Joint Acoustic and Text Decoder. Interspeech 2021: 2057-2061 - [c117]Peidong Wang, Tara N. Sainath, Ron J. Weiss:
Multitask Training with Text Data for End-to-End Speech Recognition. Interspeech 2021: 2566-2570 - [c116]Rami Botros, Tara N. Sainath, Robert David, Emmanuel Guzman, Wei Li, Yanzhang He:
Tied & Reduced RNN-T Decoder. Interspeech 2021: 4563-4567 - [c115]Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman:
Transformer Based Deliberation for Two-Pass Speech Recognition. SLT 2021: 68-74 - [c114]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT 2021: 873-880 - [i45]Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman:
Transformer Based Deliberation for Two-Pass Speech Recognition. CoRR abs/2101.11577 (2021) - [i44]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. CoRR abs/2102.09114 (2021) - [i43]David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw:
Learning Word-Level Confidence For Subword End-to-End ASR. CoRR abs/2103.06716 (2021) - [i42]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR abs/2104.04552 (2021) - [i41]Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma:
Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR abs/2104.14830 (2021) - [i40]Rami Botros, Tara N. Sainath, Robert David, Emmanuel Guzman, Wei Li, Yanzhang He:
Tied & Reduced RNN-T Decoder. CoRR abs/2109.07513 (2021) - [i39]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR abs/2109.13226 (2021) - [i38]Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath:
Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR abs/2111.08137 (2021) - [i37]Weiran Wang, Ke Hu, Tara N. Sainath:
Deliberation of Streaming RNN-Transducer by Non-autoregressive Decoding. CoRR abs/2112.11442 (2021) - 2020
- [c113]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 2020: 6059-6063 - [c112]Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Ruoming Pang, Yanzhang He, Trevor Strohman, Yonghui Wu:
Towards Fast and Accurate Streaming End-To-End ASR. ICASSP 2020: 6069-6073 - [c111]Tara N. Sainath, Ruoming Pang, Ron J. Weiss, Yanzhang He, Chung-Cheng Chiu, Trevor Strohman:
An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. ICASSP 2020: 7039-7043 - [c110]Cal Peyser, Tara N. Sainath, Golan Pundak:
Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion. ICASSP 2020: 7789-7793 - [c109]Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar:
Deliberation Model Based Two-Pass End-To-End Speech Recognition. ICASSP 2020: 7799-7803 - [c108]Zelin Wu, Bo Li, Yu Zhang, Petar S. Aleksic, Tara N. Sainath:
Multistate Encoding with End-To-End Speech RNN Transducer Network. ICASSP 2020: 7819-7823 - [c107]Shuo-Yiin Chang, Bo Li, David Rybach, Yanzhang He, Wei Li, Tara N. Sainath, Trevor Strohman:
Low Latency Speech Recognition Using End-to-End Prefetching. INTERSPEECH 2020: 1962-1966 - [c106]Tara N. Sainath, Ruoming Pang, David Rybach, Basi García, Trevor Strohman:
Emitting Word Timings with End-to-End Models. INTERSPEECH 2020: 3615-3619 - [c105]Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH 2020: 4921-4925 - [i36]Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar:
Deliberation Model Based Two-Pass End-to-End Speech Recognition. CoRR abs/2003.07962 (2020) - [i35]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR abs/2003.12710 (2020) - [i34]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR abs/2005.03271 (2020) - [i33]Cal Peyser, Tara N. Sainath, Golan Pundak:
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion. CoRR abs/2005.09756 (2020) - [i32]Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. CoRR abs/2008.10491 (2020) - [i31]Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang:
Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. CoRR abs/2010.06030 (2020) - [i30]Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang:
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization. CoRR abs/2010.11148 (2020) - [i29]Peidong Wang, Tara N. Sainath, Ron J. Weiss:
Multitask Training with Text Data for End-to-End Speech Recognition. CoRR abs/2010.14318 (2020) - [i28]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded encoders for unifying streaming and non-streaming ASR. CoRR abs/2010.14606 (2020) - [i27]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster End-to-End Model for Streaming ASR. CoRR abs/2011.10798 (2020) - [i26]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. CoRR abs/2012.06749 (2020)
2010 – 2019
- 2019
- [j7]Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-Yiin Chang, Tara N. Sainath:
Deep Learning for Audio Signal Processing. IEEE J. Sel. Top. Signal Process. 13(2): 206-219 (2019) - [c104]Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang:
A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU 2019: 889-896 - [c103]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing Long-Form Speech Using Streaming End-to-End Models. ASRU 2019: 920-927 - [c102]Bo Li, Tara N. Sainath, Ruoming Pang, Zelin Wu:
Semi-supervised Training for End-to-end Models via Weak Distillation. ICASSP 2019: 2837-2841 - [c101]Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan:
Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes. ICASSP 2019: 5621-5625 - [c100]Shuo-Yiin Chang, Rohit Prabhavalkar, Yanzhang He, Tara N. Sainath, Gabor Simko:
Joint Endpointing and Decoding with End-to-end Models. ICASSP 2019: 5626-5630 - [c99]Jinxi Guo, Tara N. Sainath, Ron J. Weiss:
A Spelling Correction Model for End-to-end Speech Recognition. ICASSP 2019: 5651-5655 - [c98]Antoine Bruguier, Rohit Prabhavalkar, Golan Pundak, Tara N. Sainath:
Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition. ICASSP 2019: 6171-6175 - [c97]Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein:
Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP 2019: 6381-6385 - [c96]Uri Alon, Golan Pundak, Tara N. Sainath:
Contextual Speech Recognition with Difficult Negative Training Examples. ICASSP 2019: 6440-6444 - [c95]Ding Zhao, Tara N. Sainath, David Rybach, Pat Rondon, Deepti Bhatia, Bo Li, Ruoming Pang:
Shallow-Fusion End-to-End Contextual Biasing. INTERSPEECH 2019: 1418-1422 - [c94]Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee:
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. INTERSPEECH 2019: 2130-2134 - [c93]Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak:
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. INTERSPEECH 2019: 2155-2159 - [c92]Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu:
Improving Performance of End-to-End ASR on Numeric Sequences. INTERSPEECH 2019: 2185-2189 - [c91]Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu:
Two-Pass End-to-End Speech Recognition. INTERSPEECH 2019: 2773-2777 - [i25]Jinxi Guo, Tara N. Sainath, Ron J. Weiss:
A spelling correction model for end-to-end speech recognition. CoRR abs/1902.07178 (2019) - [i24]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:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i23]Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-Yiin Chang, Tara N. Sainath:
Deep Learning for Audio Signal Processing. CoRR abs/1905.00078 (2019) - [i22]Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak:
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. CoRR abs/1906.09292 (2019) - [i21]Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu:
Improving Performance of End-to-End ASR on Numeric Sequences. CoRR abs/1907.01372 (2019) - [i20]Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu:
Two-Pass End-to-End Speech Recognition. CoRR abs/1908.10992 (2019) - [i19]Anjuli Kannan, Arindrima Datta, Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee:
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model. CoRR abs/1909.05330 (2019) - [i18]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing long-form speech using streaming end-to-end models. CoRR abs/1910.11455 (2019) - [i17]Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu:
A comparison of end-to-end models for long-form speech recognition. CoRR abs/1911.02242 (2019) - 2018
- [c90]Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yanghui Wu, Kanishka Rao:
Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model. ICASSP 2018: 4749-4753 - [c89]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP 2018: 4774-4778 - [c88]Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan:
Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models. ICASSP 2018: 4839-4843 - [c87]Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss, Bo Li, Pedro J. Moreno, Eugene Weinstein, Kanishka Rao:
Multilingual Speech Recognition with a Single End-to-End Model. ICASSP 2018: 4904-4908 - [c86]Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals:
Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. ICASSP 2018: 5549-5553 - [c85]Chanwoo Kim, Tara N. Sainath, Arun Narayanan, Ananya Misra, Rajeev C. Nongpiur, Michiel Bacchiani:
Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition. ICASSP 2018: 5729-5733 - [c84]Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara N. Sainath, Zhifeng Chen, Rohit Prabhavalkar:
An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model. ICASSP 2018: 5824-5828 - [c83]Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu:
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. ICASSP 2018: 5859-5863 - [c82]Tara N. Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen:
Improving the Performance of Online Neural Transducer Models. ICASSP 2018: 5864-5868 - [c81]Jahn Heymann, Michiel Bacchiani, Tara N. Sainath:
Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. ICASSP 2018: 6722-6726 - [c80]Ruoming Pang, Tara N. Sainath, Rohit Prabhavalkar, Suyog Gupta, Yonghui Wu, Shuyuan Zhang, Chung-Cheng Chiu:
Compression of End-to-End Models. INTERSPEECH 2018: 27-31 - [c79]Khe Chai Sim, Arun Narayanan, Ananya Misra, Anshuman Tripathi, Golan Pundak, Tara N. Sainath, Parisa Haghani, Bo Li, Michiel Bacchiani:
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. INTERSPEECH 2018: 892-896 - [c78]Ian Williams, Anjuli Kannan, Petar S. Aleksic, David Rybach, Tara N. Sainath:
Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search. INTERSPEECH 2018: 2227-2231 - [c77]Shubham Toshniwal, Anjuli Kannan, Chung-Cheng Chiu, Yonghui Wu, Tara N. Sainath, Karen Livescu:
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition. SLT 2018: 369-375 - [c76]Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao:
Deep Context: End-to-end Contextual Speech Recognition. SLT 2018: 418-425 - [i16]Shubham Toshniwal, Anjuli Kannan, Chung-Cheng Chiu, Yonghui Wu, Tara N. Sainath, Karen Livescu:
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition. CoRR abs/1807.10857 (2018) - [i15]Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao:
Deep context: end-to-end contextual speech recognition. CoRR abs/1808.02480 (2018) - [i14]Uri Alon, Golan Pundak, Tara N. Sainath:
Contextual Speech Recognition with Difficult Negative Training Examples. CoRR abs/1810.12170 (2018) - [i13]Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein:
Streaming End-to-end Speech Recognition For Mobile Devices. CoRR abs/1811.06621 (2018) - [i12]Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan:
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes. CoRR abs/1811.09021 (2018) - 2017
- [j6]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Bo Li, Arun Narayanan, Ehsan Variani, Michiel Bacchiani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 965-979 (2017) - [j5]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. IEEE Trans. Parallel Distributed Syst. 28(6): 1703-1714 (2017) - [c75]Khe Chai Sim, Arun Narayanan, Tom Bagby, Tara N. Sainath, Michiel Bacchiani:
Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. ASRU 2017: 258-264 - [c74]Chanwoo Kim, Ananya Misra, Kean K. Chin, Thad Hughes, Arun Narayanan, Tara N. Sainath, Michiel Bacchiani:
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home. INTERSPEECH 2017: 379-383 - [c73]Bo Li, Tara N. Sainath, Arun Narayanan, Joe Caroselli, Michiel Bacchiani, Ananya Misra, Izhak Shafran, Hasim Sak, Golan Pundak, Kean K. Chin, Khe Chai Sim, Ron J. Weiss, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon:
Acoustic Modeling for Google Home. INTERSPEECH 2017: 399-403 - [c72]Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly:
A Comparison of Sequence-to-Sequence Models for Speech Recognition. INTERSPEECH 2017: 939-943 - [c71]Bo Li, Tara N. Sainath:
Reducing the Computational Complexity of Two-Dimensional LSTMs. INTERSPEECH 2017: 964-968 - [c70]Golan Pundak, Tara N. Sainath:
Highway-LSTM and Recurrent Highway Networks for Speech Recognition. INTERSPEECH 2017: 1303-1307 - [c69]Tara N. Sainath, Vijayaditya Peddinti, Olivier Siohan, Arun Narayanan:
Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training. INTERSPEECH 2017: 3542-3546 - [c68]Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly:
An Analysis of "Attention" in Sequence-to-Sequence Models. INTERSPEECH 2017: 3702-3706 - [c67]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Gabor Simko, Carolina Parada:
Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition. INTERSPEECH 2017: 3812-3816 - [p1]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Bo Li, Ehsan Variani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Raw Multichannel Processing Using Deep Neural Networks. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 105-133 - [i11]Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss, Bo Li, Pedro J. Moreno, Eugene Weinstein, Kanishka Rao:
Multilingual Speech Recognition With A Single End-To-End Model. CoRR abs/1711.01694 (2017) - [i10]Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yonghui Wu, Kanishka Rao:
Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model. CoRR abs/1712.01541 (2017) - [i9]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Katya Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR abs/1712.01769 (2017) - [i8]Tara N. Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen:
Improving the Performance of Online Neural Transducer Models. CoRR abs/1712.01807 (2017) - [i7]Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan:
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models. CoRR abs/1712.01818 (2017) - [i6]Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu:
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. CoRR abs/1712.01864 (2017) - [i5]Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara N. Sainath, Zhifeng Chen, Rohit Prabhavalkar:
An analysis of incorporating an external language model into a sequence-to-sequence model. CoRR abs/1712.01996 (2017) - 2016
- [c66]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani:
Factored spatial and spectral multichannel raw waveform CLDNNs. ICASSP 2016: 5075-5079 - [c65]Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath:
Learning compact recurrent neural networks. ICASSP 2016: 5960-5964 - [c64]Golan Pundak, Tara N. Sainath:
Lower Frame Rate Neural Network Acoustic Models. INTERSPEECH 2016: 22-26 - [c63]Ehsan Variani, Tara N. Sainath, Izhak Shafran, Michiel Bacchiani:
Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling. INTERSPEECH 2016: 808-812 - [c62]Tara N. Sainath, Bo Li:
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks. INTERSPEECH 2016: 813-817 - [c61]Tara N. Sainath, Arun Narayanan, Ron J. Weiss, Ehsan Variani, Kevin W. Wilson, Michiel Bacchiani, Izhak Shafran:
Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction. INTERSPEECH 2016: 1971-1975 - [c60]Bo Li, Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Michiel Bacchiani:
Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition. INTERSPEECH 2016: 1976-1980 - [c59]Rubén Zazo, Tara N. Sainath, Gabor Simko, Carolina Parada:
Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection. INTERSPEECH 2016: 3668-3672 - [i4]Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath:
Learning Compact Recurrent Neural Networks. CoRR abs/1604.02594 (2016) - 2015
- [j4]Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George E. Dahl, Bhuvana Ramabhadran:
Deep Convolutional Neural Networks for Large-scale Speech Tasks. Neural Networks 64: 39-48 (2015) - [c58]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Andrew W. Senior:
Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms. ASRU 2015: 30-36 - [c57]Andrew W. Senior, Hasim Sak, Felix de Chaumont Quitry, Tara N. Sainath, Kanishka Rao:
Acoustic modelling with CD-CTC-SMBR LSTM RNNS. ASRU 2015: 604-609 - [c56]Tara N. Sainath, Oriol Vinyals, Andrew W. Senior, Hasim Sak:
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks. ICASSP 2015: 4580-4584 - [c55]Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Preetum Nakkiran, Tara N. Sainath:
Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks. ICASSP 2015: 4704-4708 - [c54]Guoguo Chen, Carolina Parada, Tara N. Sainath:
Query-by-example keyword spotting using long short-term memory networks. ICASSP 2015: 5236-5240 - [c53]Tara N. Sainath, Ron J. Weiss, Andrew W. Senior, Kevin W. Wilson, Oriol Vinyals:
Learning the speech front-end with raw waveform CLDNNs. INTERSPEECH 2015: 1-5 - [c52]Yu-hsin Chen, Ignacio López-Moreno, Tara N. Sainath, Mirkó Visontai, Raziel Alvarez, Carolina Parada:
Locally-connected and convolutional neural networks for small footprint speaker recognition. INTERSPEECH 2015: 1136-1140 - [c51]Tara N. Sainath, Carolina Parada:
Convolutional neural networks for small-footprint keyword spotting. INTERSPEECH 2015: 1478-1482 - [c50]Hank Liao, Golan Pundak, Olivier Siohan, Melissa K. Carroll, Noah Coccaro, Qi-Ming Jiang, Tara N. Sainath, Andrew W. Senior, Françoise Beaufays, Michiel Bacchiani:
Large vocabulary automatic speech recognition for children. INTERSPEECH 2015: 1611-1615 - [c49]Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar:
Structured Transforms for Small-Footprint Deep Learning. NIPS 2015: 3088-3096 - [i3]Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar:
Structured Transforms for Small-Footprint Deep Learning. CoRR abs/1510.01722 (2015) - 2014
- [c48]Po-Sen Huang, Haim Avron, Tara N. Sainath, Vikas Sindhwani, Bhuvana Ramabhadran:
Kernel methods match Deep Neural Networks on TIMIT. ICASSP 2014: 205-209 - [c47]Vijayaditya Peddinti, Tara N. Sainath, Shay Maymon, Bhuvana Ramabhadran, David Nahamoo, Vaibhava Goel:
Deep Scattering Spectrum with deep neural networks. ICASSP 2014: 210-214 - [c46]Hagen Soltau, George Saon, Tara N. Sainath:
Joint training of convolutional and non-convolutional neural networks. ICASSP 2014: 5572-5576 - [c45]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George Saon, Bhuvana Ramabhadran:
Improvements to filterbank and delta learning within a deep neural network framework. ICASSP 2014: 6839-6843 - [c44]Tara N. Sainath, Vijayaditya Peddinti, Brian Kingsbury, Petr Fousek, Bhuvana Ramabhadran, David Nahamoo:
Deep scattering spectra with deep neural networks for LVCSR tasks. INTERSPEECH 2014: 900-904 - [c43]Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari:
Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH 2014: 1048-1052 - [c42]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. SC 2014: 745-753 - 2013
- [j3]Tara N. Sainath, Brian Kingsbury, Hagen Soltau, Bhuvana Ramabhadran:
Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks. IEEE Trans. Speech Audio Process. 21(11): 2267-2276 (2013) - [c41]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, Bhuvana Ramabhadran:
Learning filter banks within a deep neural network framework. ASRU 2013: 297-302 - [c40]Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU 2013: 303-308 - [c39]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to Deep Convolutional Neural Networks for LVCSR. ASRU 2013: 315-320 - [c38]Tara N. Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, Bhuvana Ramabhadran:
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. ICASSP 2013: 6655-6659 - [c37]Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy:
Developing speech recognition systems for corpus indexing under the IARPA Babel program. ICASSP 2013: 6753-6757 - [c36]Rohit Prabhavalkar, Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky:
An evaluation of posterior modeling techniques for phonetic recognition. ICASSP 2013: 7165-7169 - [c35]George E. Dahl, Tara N. Sainath, Geoffrey E. Hinton:
Improving deep neural networks for LVCSR using rectified linear units and dropout. ICASSP 2013: 8609-8613 - [c34]Tara N. Sainath, Abdel-rahman Mohamed, Brian Kingsbury, Bhuvana Ramabhadran:
Deep convolutional neural networks for LVCSR. ICASSP 2013: 8614-8618 - [i2]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to deep convolutional neural networks for LVCSR. CoRR abs/1309.1501 (2013) - [i1]Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR abs/1309.1508 (2013) - 2012
- [j2]Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo, Dimitri Kanevsky, Dirk Van Compernolle, Kris Demuynck, Jort F. Gemmeke, Jerome R. Bellegarda, Shiva Sundaram:
Exemplar-Based Processing for Speech Recognition: An Overview. IEEE Signal Process. Mag. 29(6): 98-113 (2012) - [c33]Nobuyasu Itoh, Tara N. Sainath, Dan-Ning Jiang, Jie Zhou, Bhuvana Ramabhadran:
N-best entropy based data selection for acoustic modeling. ICASSP 2012: 4133-4136 - [c32]Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran:
Auto-encoder bottleneck features using deep belief networks. ICASSP 2012: 4153-4156 - [c31]Christian Plahl, Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo:
Improved pre-training of Deep Belief Networks using Sparse Encoding Symmetric Machines. ICASSP 2012: 4165-4168 - [c30]Brian Kingsbury, Tara N. Sainath, Hagen Soltau:
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization. INTERSPEECH 2012: 10-13 - [c29]Tara N. Sainath, David Nahamoo, Dimitri Kanevsky, Bhuvana Ramabhadran:
Enhancing Exemplar-Based Posteriors for Speech Recognition Tasks. INTERSPEECH 2012: 2130-2133 - [c28]Ebru Arisoy, Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran:
Deep Neural Network Language Models. WLM@NAACL-HLT 2012: 20-28 - 2011
- [j1]Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, David Nahamoo, Dimitri Kanevsky:
Exemplar-Based Sparse Representation Features: From TIMIT to LVCSR. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2598-2613 (2011) - [c27]Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, Petr Fousek, Petr Novák, Abdel-rahman Mohamed:
Making Deep Belief Networks effective for large vocabulary continuous speech recognition. ASRU 2011: 30-35 - [c26]Tara N. Sainath, David Nahamoo, Dimitri Kanevsky, Bhuvana Ramabhadran, Parikshit M. Shah:
A convex hull approach to sparse representations for exemplar-based speech recognition. ASRU 2011: 59-64 - [c25]Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky, Vaibhava Goel, Parikshit M. Shah:
Exemplar-based Sparse Representation phone identification features. ICASSP 2011: 4492-4495 - [c24]Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana Ramabhadran:
Application specific loss minimization using gradient boosting. ICASSP 2011: 4880-4883 - [c23]Abdel-rahman Mohamed, Tara N. Sainath, George E. Dahl, Bhuvana Ramabhadran, Geoffrey E. Hinton, Michael A. Picheny:
Deep Belief Networks using discriminative features for phone recognition. ICASSP 2011: 5060-5063 - [c22]Dimitri Kanevsky, David Nahamoo, Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen:
A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization. ICASSP 2011: 5164-5167 - [c21]Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo, Dimitri Kanevsky:
Reducing Computational Complexities of Exemplar-Based Sparse Representations with Applications to Large Vocabulary Speech Recognition. INTERSPEECH 2011: 785-788 - [c20]Dimitri Kanevsky, David Nahamoo, Tara N. Sainath, Bhuvana Ramabhadran:
Convergence of Line Search A-Function Methods. INTERSPEECH 2011: 997-1000 - 2010
- [c19]Dimitri Kanevsky, Avishy Carmi, Lior Horesh, Pini Gurfil, Bhuvana Ramabhadran, Tara N. Sainath:
Kalman filtering for compressed sensing. FUSION 2010: 1-8 - [c18]Avishy Carmi, Tara N. Sainath, Pini Gurfil, Dimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran:
The Use of isometric transformations and bayesian estimation in compressive sensing for fMRI classification. ICASSP 2010: 493-496 - [c17]Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, Bhuvana Ramabhadran:
Bayesian compressive sensing for phonetic classification. ICASSP 2010: 4370-4373 - [c16]Seth J. Teller, Matthew R. Walter, Matthew E. Antone, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Jim Glass, Jonathan P. How, Albert S. Huang, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Tara N. Sainath:
A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. ICRA 2010: 526-533 - [c15]Vaibhava Goel, Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, David Nahamoo, Dimitri Kanevsky:
Incorporating sparse representation phone identification features in automatic speech recognition using exponential families. INTERSPEECH 2010: 1345-1348 - [c14]Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo, Dimitri Kanevsky, Abhinav Sethy:
Sparse representation features for speech recognition. INTERSPEECH 2010: 2254-2257 - [c13]Abhinav Sethy, Tara N. Sainath, Bhuvana Ramabhadran, Dimitri Kanevsky:
Data selection for language modeling using sparse representations. INTERSPEECH 2010: 2258-2261 - [c12]Tara N. Sainath, Sameer Maskey, Dimitri Kanevsky, Bhuvana Ramabhadran, David Nahamoo, Julia Hirschberg:
Sparse representations for text categorization. INTERSPEECH 2010: 2266-2269 - [c11]Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo:
An analysis of sparseness and regularization in exemplar-based methods for speech classification. INTERSPEECH 2010: 2842-2845
2000 – 2009
- 2009
- [b1]Tara N. Sainath:
Applications of broad class knowledge for noise robust speech recognition. Massachusetts Institute of Technology, Cambridge, MA, USA, 2009 - [c10]Tara N. Sainath:
Island-driven search using broad phonetic classes. ASRU 2009: 287-292 - [c9]Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny:
An exploration of large vocabulary tools for small vocabulary phonetic recognition. ASRU 2009: 359-364 - [c8]Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabhadran:
A generalized family of parameter estimation techniques. ICASSP 2009: 1725-1728 - 2008
- [c7]Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabhadran:
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks. ICASSP 2008: 4533-4536 - [c6]Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabhadran, David Nahamoo:
Generalization of extended baum-welch parameter estimation for discriminative training and decoding. INTERSPEECH 2008: 277-280 - [c5]Tara N. Sainath, Victor Zue:
A comparison of broad phonetic and acoustic units for noise robust segment-based phonetic recognition. INTERSPEECH 2008: 2378-2381 - 2007
- [c4]Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabhadran:
Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations. ASRU 2007: 306-311 - [c3]Tara N. Sainath, Dimitri Kanevsky, Giridharan Iyengar:
Unsupervised Audio Segmentation using Extended Baum-Welch Transformations. ICASSP (1) 2007: 209-212 - [c2]Tara N. Sainath, Victor Zue, Dimitri Kanevsky:
Audio classification using extended baum-welch transformations. INTERSPEECH 2007: 2969-2972 - 2006
- [c1]Tara N. Sainath, Timothy J. Hazen:
A Sinusoidal Model Approach to Acoustic Landmark Detection and Segmentation for Robust Segment-Based Speech Recognition. ICASSP (1) 2006: 525-528
Coauthor Index
[c181] [c179] [c175] [i93] [c173] [c169] [c167] [c161] [i82] [i68] [i66] [c147] [c144] [c142] [c141] [c139] [c136] [c131] [i62] [i61] [i57] [i55] [i53] [i49] [i46] [c126] [c125] [c123] [c122] [c120] [c116] [i43] [i40] [c113] [c112] [c111] [c107] [i35] [i30] [i27] [i26] [c100] [c97] [c91] [i24] [i20] [i13]
[c183] [c182] [c181] [c180] [c175] [i96] [i94] [c172] [c170] [c168] [c166] [c165] [c164] [c160] [c159] [c158] [c157] [c153] [c152] [i89] [i88] [i87] [i86] [i85] [i84] [i77] [i76] [i74] [i68] [i66] [j8] [c151] [c150] [c147] [c146] [c141] [c140] [c139] [c138] [c134] [c131] [c130] [c129] [i64] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [c128] [c126] [c123] [c122] [c121] [c120] [i43] [i41] [i39] [i38] [c113] [c112] [c108] [c107] [i35] [i31] [i30] [i27] [j7] [c102] [c101] [c97] [c95] [i24] [i23] [c90] [c89] [c87] [c86] [c83] [c79] [i13] [i12] [j6] [c73] [c72] [c71] [c68] [c67] [p1] [i11] [i10] [i9] [i6] [c62] [c60]
Abdel-rahman Mohamed
aka: Abdelrahman Mohamed
aka: Abdelrahman Mohamed
Pedro J. Moreno 0001
aka: Pedro Moreno Mengibar
aka: Pedro Moreno Mengibar
Michael Picheny
aka: Michael A. Picheny
aka: Michael A. Picheny
[j11] [c181] [c179] [c175] [i93] [i91] [c174] [c173] [c171] [c169] [c167] [c164] [c163] [c162] [c160] [c157] [c155] [i90] [i89] [i87] [i84] [i83] [i82] [i79] [i78] [i74] [i72] [i68] [i67] [i66] [i65] [c147] [c144] [c142] [c136] [c135] [c134] [c132] [i62] [i61] [i59] [i57] [i50] [i46] [c127] [c125] [c122] [c114] [i43] [c113] [c109] [i36] [i35] [i34] [i28] [i26] [c104] [c103] [c100] [c98] [c97] [c93] [c91] [i24] [i22] [i20] [i18] [i17] [c89] [c88] [c84] [c83] [c82] [c80] [c76] [i15] [i13] [c72] [c68] [i9] [i8] [i7] [i6] [i5] [c55] [c36]
[i91] [c164] [i87] [i84] [j8] [c144] [i61] [i39] [c94] [i19] [j5] [j4] [c48] [c47] [c45] [c44] [c43] [c42] [j3] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [i2] [i1] [j2] [c33] [c32] [c31] [c29] [c28] [j1] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c9] [c8] [c7] [c6] [c4]
Trevor Strohman
aka: Trevor D. Strohman
aka: Trevor D. Strohman
[c180] [i96] [c170] [c168] [c167] [c166] [c165] [c160] [c158] [i89] [i88] [i86] [i85] [i84] [i80] [c151] [c148] [c147] [c145] [c144] [c142] [c141] [c140] [c139] [c138] [c136] [c134] [c129] [i63] [i62] [i61] [i57] [i55] [i54] [i53] [i52] [i50] [i47] [i46] [c127] [c126] [c125] [c119] [c115] [i45] [i42] [c113] [c112] [c111] [c107] [c106] [i35] [i28] [i27] [i26] [c103] [c91] [i20] [i18]
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