Monaural speech enhancement through deep wave-U-net

作者：

Highlights：

• We introduce a new convolutional network for speech enhancement: SEWUNet.

• This network presents 4 simple techniques that enhance performance and efficiency.

• Noise and word error reductions are achieved, with performance invariance to lengths.

• An implementation is made available at https://github.com/Hguimaraes/SEWUNet.

摘要

•We introduce a new convolutional network for speech enhancement: SEWUNet.•This network presents 4 simple techniques that enhance performance and efficiency.•Noise and word error reductions are achieved, with performance invariance to lengths.•An implementation is made available at https://github.com/Hguimaraes/SEWUNet.

论文关键词：Speech enhancement,Noise reduction,Wave-U-net,Deep learning,Signal to Noise Ratio (SNR),Word Error Rate (WER)

论文评审过程：Received 4 May 2019, Revised 12 February 2020, Accepted 17 May 2020, Available online 25 May 2020, Version of Record 25 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113582