Icassp 2022 Deep Noise Suppression Challenge
Author:
Affiliation:
1. Microsoft Corporation,Redmond,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747230.pdf?arnumber=9747230
Reference32 articles.
1. Multi-Stage and Multi-Loss Training for Fullband Non-Personalized and Personalized Speech Enhancement
2. Harmonic Gated Compensation Network Plus for ICASSP 2022 DNS Challenge
3. FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network
4. RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification
5. Vocalset: A singing voice dataset;wilkins;ISMIR,2018
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