3 papers
eess.AS2022
Multiple Confidence Gates For Joint Training Of SE And ASR
Tianrui Wang, Weibin Zhu, Yingying Gao +2
Joint training of speech enhancement model (SE) and speech recognition model (ASR) is a common solution for robust ASR in noisy environments. SE focuses on improving the auditory q…
eess.AS2022
Harmonic gated compensation network plus for ICASSP 2022 DNS CHALLENGE
Tianrui Wang, Weibin Zhu, Yingying Gao +3
The harmonic structure of speech is resistant to noise, but the harmonics may still be partially masked by noise. Therefore, we previously proposed a harmonic gated compensation ne…
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…