A Novel Approach to Speech Enhancement Based on Deep Neural Networks

A Novel Approach to Speech Enhancement Based on Deep Neural Networks

Minimum mean-square error (MMSE) approaches have been shown to achieve state-of-the-art performance on the task of speech enhancement. However, MMSE approaches lack the ability to accurately estimate non-stationary noise sources. In this paper, a long short-term memory fully convolutional network...

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Bibliographic Details
Main Authors: SALEHI, M., MIRZAKUCHAKI, S.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2022-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
long short-term memory
machine learning
mean square error methods
recurrent neural networks
speech enhancement
Online Access:http://dx.doi.org/10.4316/AECE.2022.02009

Internet

http://dx.doi.org/10.4316/AECE.2022.02009

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