Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation

Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation

This paper investigates deep neural networks (DNN) based on nonlinear feature mapping and statistical linear feature adaptation approaches for reducing reverberation in speech signals. In the nonlinear feature mapping approach, DNN is trained from parallel clean/distorted speech corpus to map reverb...

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Bibliographic Details
Main Authors: Xiao, Xiong, Zhao, Shengkui, Nguyen, Duc Hoang Ha, Zhong, Xionghu, Jones, Douglas L., Chng, Eng Siong, Li, Haizhou
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Speech enhancement
Deep neural networks
Dynamic features
Feature adaptation
Robust speech recognition
Reverberation challenge
Beamforming
Online Access:https://hdl.handle.net/10356/82372
http://hdl.handle.net/10220/39943

Internet

https://hdl.handle.net/10356/82372
http://hdl.handle.net/10220/39943

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