Pai Zhu

According to our database, Pai Zhu authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting.

Pai Zhu, Jacob W. Bartel, Dhruuv Agarwal, Kurt Partridge, Hyun Jin Park, Quan Wang

CoRR, 2024

Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting.

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

CoRR, 2024

Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model.

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

CoRR, 2024

Synth4Kws: Synthesized Speech for User Defined Keyword Spotting in Low Resource Environments.

Pai Zhu, Dhruuv Agarwal, Jacob W. Bartel, Kurt Partridge, Hyun Jin Park, Quan Wang

CoRR, 2024

2023

Personalizing Keyword Spotting with Speaker Information.

Beltrán Labrador, Pai Zhu, Guanlong Zhao, Angelo Scorza Scarpati, Quan Wang, Alicia Lozano-Diez, Alex Park, Ignacio López-Moreno

CoRR, 2023

Locale Encoding for Scalable Multilingual Keyword Spotting Models.

Pai Zhu, Hyun Jin Park, Alex Park, Angelo Scorza Scarpati, Ignacio López-Moreno

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Noisy Student-Teacher Training for Robust Keyword Spotting.

Hyun-Jin Park, Pai Zhu, Ignacio López-Moreno, Niranjan Subrahmanya

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Training Keyword Spotting Models on Non-IID Data with Federated Learning.

Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2016

Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks.

Yingqi Lu, Pai Zhu, Donglin Wang, Michel Fattouche

Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

2014

A Markovian approach to design criterion of cooperation in Cognitive Radio network.

Pai Zhu, Chaoqun Dong, Ruimin Hu, Jiankun Chen, Sumit Chakravarty, Donglin Wang

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014