The Second Multi-Channel Multi-Party Meeting Transcription Challenge (M2MeT 2.0): A Benchmark for Speaker-Attributed ASR.
Yuhao LiangMohan ShiFan YuYangze LiShiliang ZhangZhihao DuQian ChenLei XieYanmin QianJian WuZhuo ChenKong Aik LeeZhijie YanHui BuPublished in: ASRU (2023)
Keyphrases
- multi party
- multi channel
- automatic speech recognition
- speech recognition
- privacy preserving
- automatic transcription
- spontaneous speech
- speech signal
- handwriting recognition
- anti aliasing
- single channel
- virtual humans
- noisy environments
- description language
- mental states
- data broadcast
- hidden markov models
- speaker verification
- speaker diarization
- fair exchange
- signal processing
- spoken language
- human machine interaction
- word error rate
- lesion segmentation
- software systems