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ORCIDNikhil Siddhartha
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Conference and Workshop Papers
- 2024
[c7]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- 2023
- [c6]Gan Song, Zelin Wu, Golan Pundak, Angad Chandorkar, Kandarp Joshi, Xavier Velez, Diamantino Caseiro, Ben Haynor, Weiran Wang, Nikhil Siddhartha, Pat Rondon, Khe Chai Sim:
Contextual Spelling Correction with Large Language Models. ASRU 2023: 1-8 - [c5]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU 2023: 1-8 - 2022
- [c4]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 - [c3]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP 2022: 6627-6631 - [c2]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH 2022: 4845-4849 - 2021
- [c1]Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim:
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. Interspeech 2021: 731-735
Informal and Other Publications
- 2023
- [i4]Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the thin gap between speech and text foundation models. CoRR abs/2310.00230 (2023) - 2021
- [i3]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR abs/2110.00155 (2021) - [i2]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR abs/2110.00165 (2021) - [i1]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)
Coauthor Index
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