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Cal Peyser
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Conference and Workshop Papers
- 2023
- [c13]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 - [c12]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 - [c11]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 - 2022
- [c10]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 - [c9]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 - [c8]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. INTERSPEECH 2022: 3603-3607 - [c7]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 - [c6]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 - 2021
- [c5]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 - 2020
- [c4]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 - [c3]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 - [c2]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 - 2019
- [c1]Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu:
Improving Performance of End-to-End ASR on Numeric Sequences. INTERSPEECH 2019: 2185-2189
Informal and Other Publications
- 2024
- [i14]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
- [i13]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) - [i12]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) - [i11]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) - 2022
- [i10]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) - [i9]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) - [i8]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) - [i7]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. CoRR abs/2208.13191 (2022) - [i6]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
- [i5]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) - 2020
- [i4]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) - [i3]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) - [i2]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) - 2019
- [i1]Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu:
Improving Performance of End-to-End ASR on Numeric Sequences. CoRR abs/1907.01372 (2019)
Coauthor Index
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