16 citations · 47 across the 14 of their papers we have counts for
5 papers · 1 filter
BA-MoE: Boundary-Aware Mixture-of-Experts Adapter for Code-Switching Speech Recognition
Peikun Chen, Fan Yu, Yuhao Lian +5
Mixture-of-experts based models, which use language experts to extract language-specific representations effectively, have been well applied in code-switching automatic speech reco…
SA-Paraformer: Non-autoregressive End-to-End Speaker-Attributed ASR
Yangze Li, Fan Yu, Yuhao Liang +5
Joint modeling of multi-speaker ASR and speaker diarization has recently shown promising results in speaker-attributed automatic speech recognition (SA-ASR).Although being able to…
The second multi-channel multi-party meeting transcription challenge (M2MeT) 2.0): A benchmark for speaker-attributed ASR
Yuhao Liang, Mohan Shi, Fan Yu +11
With the success of the first Multi-channel Multi-party Meeting Transcription challenge (M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to tackle…
CASA-ASR: Context-Aware Speaker-Attributed ASR
Mohan Shi, Zhihao Du, Qian Chen +5
Recently, speaker-attributed automatic speech recognition (SA-ASR) has attracted a wide attention, which aims at answering the question ``who spoke what''. Different from modular s…
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR
Yuhao Liang, Fan Yu, Yangze Li +4
The recently proposed serialized output training (SOT) simplifies multi-talker automatic speech recognition (ASR) by generating speaker transcriptions separated by a special token.…