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ORCIDKhe Chai Sim
- > Home > Persons > Khe Chai Sim
Publications
- 2023
[c108]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- [c107]Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman:
Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. ICASSP 2023: 1-5 - [c106]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 - [i24]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) - [i23]Dongseong Hwang, Changwan Ryu, Khe Chai Sim:
Edit Distance based RL for RNNT decoding. CoRR abs/2306.01789 (2023) - [i22]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) - [i21]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) - 2022
- [c104]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 - [c101]Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman:
Pseudo Label Is Better Than Human Label. INTERSPEECH 2022: 1421-1425 - [c99]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 - [i18]Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman:
Pseudo Label Is Better Than Human Label. CoRR abs/2203.12668 (2022) - [i15]Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman:
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR. CoRR abs/2210.05793 (2022) - [i14]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) - 2021
- [c95]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 - [i11]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) - [i10]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)
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