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

• 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: 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
• Institution: Nanyang Technological University

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...