M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
Author:
Affiliation:
1. Alibaba Group,Speech Lab,China
2. AISHELL Foundation
3. Alibaba Group,Speech Lab,Singapore
4. Beijing Shell Shell Technology Co., Ltd.,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746465.pdf?arnumber=9746465
Reference32 articles.
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3. Recent Developments on Espnet Toolkit Boosted By Conformer
4. Investigating RNN-based speech enhancement methods for noise-robust text-to-speech;valentini-botinhao;Proc SSW,2016
5. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
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