M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge

Author:

Yu Fan1,Zhang Shiliang1,Fu Yihui2,Xie Lei2,Zheng Siqi1,Du Zhihao1,Huang Weilong1,Guo Pengcheng2,Yan Zhijie1,Ma Bin3,Xu Xin4,Bu Hui4

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

Reference32 articles.

1. Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline;bu;Proc O-COCOSDA,2017

2. ESPnet: End-to-End Speech Processing Toolkit

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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