Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting
Author:
Affiliation:
1. ETH Zurich,Integrated Systems Laboratory
2. Huawei Technologies,Zurich Research Center
3. DEI, University of Bologna
4. Bonseyes Community Association
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9869844/9869845/09869990.pdf?arnumber=9869990
Reference19 articles.
1. Techniques for Noise Robustness in Automatic Speech Recognition
2. Supervised Noise Reduction for Multichannel Keyword Spotting
3. Hotword Cleaner: Dual-microphone Adaptive Noise Cancellation with Deferred Filter Coefficients for Robust Keyword Spotting
4. Multi-task network for noise-robust keyword spotting and speaker verification using etc-based soft VAD and global query attention;jung;CoRR,2020
5. Noisy Student-Teacher Training for Robust Keyword Spotting
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