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Pai Zhu
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2020 – today
- 2024
- [i8]Pai Zhu, Dhruuv Agarwal, Jacob W. Bartel, Kurt Partridge, Hyun Jin Park, Quan Wang:
Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments. CoRR abs/2407.16840 (2024) - [i7]Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang:
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. CoRR abs/2407.18879 (2024) - [i6]Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang:
Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting. CoRR abs/2408.10463 (2024) - [i5]Pai Zhu, Jacob W. Bartel, Dhruuv Agarwal, Kurt Partridge, Hyun Jin Park, Quan Wang:
GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting. CoRR abs/2410.16647 (2024) - 2023
- [c5]Pai Zhu, Hyun Jin Park, Alex Park, Angelo Scorza Scarpati, Ignacio López-Moreno:
Locale Encoding for Scalable Multilingual Keyword Spotting Models. ICASSP 2023: 1-5 - [i4]Pai Zhu, Hyun Jin Park, Alex Park, Angelo Scorza Scarpati, Ignacio López-Moreno:
Locale Encoding For Scalable Multilingual Keyword Spotting Models. CoRR abs/2302.12961 (2023) - [i3]Beltrán Labrador, Pai Zhu, Guanlong Zhao, Angelo Scorza Scarpati, Quan Wang, Alicia Lozano-Diez, Alex Park, Ignacio López-Moreno:
Personalizing Keyword Spotting with Speaker Information. CoRR abs/2311.03419 (2023) - 2021
- [c4]Hyun-Jin Park, Pai Zhu, Ignacio López-Moreno, Niranjan Subrahmanya:
Noisy Student-Teacher Training for Robust Keyword Spotting. Interspeech 2021: 331-335 - [i2]Hyun-Jin Park, Pai Zhu, Ignacio López-Moreno, Niranjan Subrahmanya:
Noisy student-teacher training for robust keyword spotting. CoRR abs/2106.01604 (2021) - 2020
- [c3]Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews:
Training Keyword Spotting Models on Non-IID Data with Federated Learning. INTERSPEECH 2020: 4343-4347 - [i1]Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews:
Training Keyword Spotting Models on Non-IID Data with Federated Learning. CoRR abs/2005.10406 (2020)
2010 – 2019
- 2016
- [c2]Yingqi Lu, Pai Zhu, Donglin Wang, Michel Fattouche:
Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks. WCNC 2016: 1-6 - 2014
- [c1]Pai Zhu, Chaoqun Dong
, Ruimin Hu, Jiankun Chen, Sumit Chakravarty, Donglin Wang:
A Markovian approach to design criterion of cooperation in Cognitive Radio network. SOLI 2014: 400-405
Coauthor Index
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