On The Design and Training Strategies for Rnn-Based Online Neural Speech Separation Systems
Author:
Affiliation:
1. Tsinghua University,BNRist,Department of Computer Science and Technology,China
2. Tencent AI Lab,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096724.pdf?arnumber=10096724
Reference35 articles.
1. Distilling the knowledge in a neural network;hinton;NeurIPS,2015
2. Ultra Fast Speech Separation Model with Teacher Student Learning
3. Performance Study of a Convolutional Time-Domain Audio Separation Network for Real-Time Speech Denoising
4. Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation
5. Listening and Grouping: An Online Autoregressive Approach for Monaural Speech Separation
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