A Voice-Activity-Aware Loss Function for Continuous Speech Separation
Author:
Affiliation:
1. Fairy Devices Inc.,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10337652/10337633/10337699.pdf?arnumber=10337699
Reference23 articles.
1. Permutation invariant training of deep models for speaker-independent multi-talker speech separation
2. Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation
3. A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation
4. Demystifying TasNet: A Dissecting Approach
5. Analysis of overlaps in meetings by dialog factors, hot spots, speakers, and collection site: insights for automatic speech recognition
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