An Adapter based Multi-label Pre-training for Speech Separation and Enhancement

no code implementations • 11 Nov 2022 • Tianrui Wang, Xie Chen, Zhuo Chen, Shu Yu, Weibin Zhu

In recent years, self-supervised learning (SSL) has achieved tremendous success in various speech tasks due to its power to extract representations from massive unlabeled data.

Denoising Pseudo Label +4

Multiple Confidence Gates For Joint Training Of SE And ASR

no code implementations • 1 Apr 2022 • Tianrui Wang, Weibin Zhu, Yingying Gao, Junlan Feng, Shilei Zhang

Joint training of speech enhancement model (SE) and speech recognition model (ASR) is a common solution for robust ASR in noisy environments.

Robust Speech Recognition Speech Enhancement +1

Harmonic gated compensation network plus for ICASSP 2022 DNS CHALLENGE

no code implementations • 25 Feb 2022 • Tianrui Wang, Weibin Zhu, Yingying Gao, Yanan Chen, Junlan Feng, Shilei Zhang

Therefore, we previously proposed a harmonic gated compensation network (HGCN) to predict the full harmonic locations based on the unmasked harmonics and process the result of a coarse enhancement module to recover the masked harmonics.

HGCN: Harmonic gated compensation network for speech enhancement

1 code implementation • 30 Jan 2022 • Tianrui Wang, Weibin Zhu, Yingying Gao, Junlan Feng, Shilei Zhang

Mask processing in the time-frequency (T-F) domain through the neural network has been one of the mainstreams for single-channel speech enhancement.

Action Detection Activity Detection +1

A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement

1 code implementation • 26 Aug 2021 • Tianrui Wang, Weibin Zhu

Deep learning technology has been widely applied to speech enhancement.

Speech Enhancement