Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge

Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du +11 more
2/8/2022
cs.SDeess.AS

Official code: modelscope/FunASR (19,439 stars, MIT, PyTorch, last commit 2026-03-17).

Abstract

The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologies. The M2MeT challenge has particularly set up two tracks, speaker diarization (track 1) and multi-speaker automatic speech recognition (ASR) (track 2). Along with the challenge, we released 120 hours of real-recorded Mandarin meeting speech data with manual annotation, including far-field data collected by 8-channel microphone array as well as near-field data collected by each participants' headset microphone. We briefly describe the released dataset, track setups, baselines and summarize the challenge results and major techniques used in the submissions.

View on arXivView PDF

Code Implementations(1)

modelscope/FunASROfficial100%
PyTorchMIT

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

19,4391,955C, C#Nov 24, 20227 months agoMIT
audio-visual-speech-recognitionconformerdfsmnparaformerpretrained-model+10 more

Similar Papers

M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge

93% match1 repo1432021

ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge

86% match2024

The 2022 NIST Language Recognition Evaluation

83% match2023

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

82% match1 repo1442021

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

81% match2026

Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts

81% match2022

Cite this paper

@article{yu2022summary,
  title  = {Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge},
  author = {Fan Yu and Shiliang Zhang and Pengcheng Guo and Yihui Fu and Zhihao Du and Siqi Zheng and Weilong Huang and Lei Xie and Zheng-Hua Tan and DeLiang Wang and Yanmin Qian and Kong Aik Lee and Zhijie Yan and Bin Ma and Xin Xu and Hui Bu},
  year   = {2022},
  eprint = {2202.03647},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2202.03647}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2202.03647.svg)](https://codeofpaper.com/paper/2202.03647)

Discussion