activity
20202022
most citedThe Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

16 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD20221 cited

MFCCA:Multi-Frame Cross-Channel attention for multi-speaker ASR in Multi-party meeting scenario

Fan Yu, Shiliang Zhang, Pengcheng Guo +4

Recently cross-channel attention, which better leverages multi-channel signals from microphone array, has shown promising results in the multi-party meeting scenario. Cross-channel…

cs.SD2022

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

Fan Yu, Shiliang Zhang, Pengcheng Guo +13

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 technologie…

cs.SD2021

Boundary and Context Aware Training for CIF-based Non-Autoregressive End-to-end ASR

Fan Yu, Haoneng Luo, Pengcheng Guo +6

Continuous integrate-and-fire (CIF) based models, which use a soft and monotonic alignment mechanism, have been well applied in non-autoregressive (NAR) speech recognition with com…

cs.SD202116 cited

The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

Xian Shi, Fan Yu, Yizhou Lu +5

The variety of accents has posed a big challenge to speech recognition. The Accented English Speech Recognition Challenge (AESRC2020) is designed for providing a common testbed and…

cs.SD2020

The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines

Fan Yu, Zhuoyuan Yao, Xiong Wang +6

Automatic speech recognition (ASR) has been significantly advanced with the use of deep learning and big data. However improving robustness, including achieving equally good perfor…