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20172025
most citedAISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

201 citations · 413 across the 22 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SD2021★ 11 cited

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

Fan Yu, Shiliang Zhang, Yihui Fu +9

Recent development of speech processing, such as speech recognition, speaker diarization, etc., has inspired numerous applications of speech technologies. The meeting scenario is o…

cs.SD2021★ 32 cited

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Binbin Zhang, Hang Lv, Pengcheng Guo +9

In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of 10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about 10000 hou…

eess.AS2021★ 3 cited

The Multi-speaker Multi-style Voice Cloning Challenge 2021

Qicong Xie, Xiaohai Tian, Guanghou Liu +9

The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to provide a common sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning t…

eess.AS2021★ 7 cited

INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing

Wei Rao, Yihui Fu, Yanxin Hu +11

The ConferencingSpeech 2021 challenge is proposed to stimulate research on far-field multi-channel speech enhancement for video conferencing. The challenge consists of two separate…

cs.SD2021★ 8 cited

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

Yihui Fu, Luyao Cheng, Shubo Lv +10

In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario.…