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Yanzhang He
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Publications
- 2023
- [c54]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 - [c53]David Qiu, Shaojin Ding, Yanzhang He:
The Role of Feature Correlation on Quantized Neural Networks. ASRU 2023: 1-7 - [c52]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 - [c50]Tom O'Malley, Shaojin Ding, Arun Narayanan, Quan Wang, Rajeev Rikhye, Qiao Liang, Yanzhang He, Ian McGraw:
Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. ICASSP 2023: 1-5 - [c49]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 - [i35]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) - [i34]David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He:
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. CoRR abs/2305.15536 (2023) - [i32]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) - 2022
- [c44]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 - [c43]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. INTERSPEECH 2022: 1711-1715 - [c40]Shaojin Ding, Rajeev Rikhye, Qiao Liang, Yanzhang He, Quan Wang, Arun Narayanan, Tom O'Malley, Ian McGraw:
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. INTERSPEECH 2022: 3744-3748 - [i29]Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov:
4-bit Conformer with Native Quantization Aware Training for Speech Recognition. CoRR abs/2203.15952 (2022) - [i28]Shaojin Ding, Rajeev Rikhye, Qiao Liang, Yanzhang He, Quan Wang, Arun Narayanan, Tom O'Malley, Ian McGraw:
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. CoRR abs/2204.03793 (2022) - [i27]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)
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