Speech Enhancement Using Generative Adversarial Network by Distilling Knowledge from Statistical Method

Speech Enhancement Using Generative Adversarial Network by Distilling Knowledge from Statistical Method

This paper presents a new deep neural network (DNN)-based speech enhancement algorithm by integrating the distilled knowledge from the traditional statistical-based method. Unlike the other DNN-based methods, which usually train many different models on the same data and then average their predictio...

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Bibliographic Details
Main Authors: Jianfeng Wu, Yongzhu Hua, Shengying Yang, Hongshuai Qin, Huibin Qin
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
speech enhancement
deep neural network
generative adversarial network
distill knowledge
Online Access:https://www.mdpi.com/2076-3417/9/16/3396

Internet

https://www.mdpi.com/2076-3417/9/16/3396

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