activity
20162026
most citedWaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

77 citations · 243 across the 31 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020

Unsupervised neural adaptation model based on optimal transport for spoken language identification

Xugang Lu, Peng Shen, Yu Tsao +1

Due to the mismatch of statistical distributions of acoustic speech between training and testing sets, the performance of spoken language identification (SLID) could be drastically…

cs.LG2019★ 1 cited

Incorporating Symbolic Sequential Modeling for Speech Enhancement

Chien-Feng Liao, Yu Tsao, Xugang Lu +1

In a noisy environment, a lossy speech signal can be automatically restored by a listener if he/she knows the language well. That is, with the built-in knowledge of a "language mod…