Joint constraint algorithm based on deep neural network with dual outputs for single-channel speech separation

Single-channel speech separation (SCSS) plays an important role in speech processing. It is an underdetermined problem since several signals need to be recovered from one channel, which is more difficult to solve. To achieve SCSS more effectively, we propose a new cost function. What’s more, a joint...

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Bibliographic Details
Published in:	Signal, image and video processing Vol. 14; no. 7; pp. 1387 - 1395
Main Authors:	Sun, Linhui, Zhu, Ge, Li, Pingan
Format:	Journal Article
Language:	English
Published:	London Springer London 01.10.2020 Springer Nature B.V
Subjects:	Algorithms Artificial neural networks Computer Imaging Computer Science Cost function Image Processing and Computer Vision Intelligibility Model accuracy Multimedia Information Systems Original Paper Pattern Recognition and Graphics Separation Signal processing Signal,Image and Speech Processing Speech Speech processing Vision Dual outputs Cost function Single-channel speech separation Joint constraint Deep neural network (DNN)
ISSN:	1863-1703, 1863-1711
Online Access:	Get full text
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