271 citations · 460 across the 22 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
eess.AS2021★ 5 cited
Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions
Wangyou Zhang, Jing Shi, Chenda Li +2
The deep learning based time-domain models, e.g. Conv-TasNet, have shown great potential in both single-channel and multi-channel speech enhancement. However, many experiments on t…
cs.CL2021★ 8 cited
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition
Xuankai Chang, Takashi Maekaku, Pengcheng Guo +8
Self-supervised pretraining on speech data has achieved a lot of progress. High-fidelity representation of the speech signal is learned from a lot of untranscribed data and shows p…