NDLI: Utterance-based speech dereverberation using blind channel estimation and multichannel equalization

Content Provider	IEEE Xplore Digital Library
Author	Haque, Mohammad Ariful
Copyright Year	2014
Description	Author affiliation: Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (Haque, Mohammad Ariful)
Abstract	Speech dereverberation considering noisy environment as well as speaker's movement is a challenging task. In this paper, we present an utterance-based noise-robust speech dereverberation technique that is suitable for non-stationary speaker. The acoustic impulse responses (AIRs) between the speaker and microphone array are estimated using the spectrally constrained frequency-domain least-mean-squares (LMS) algorithm. The AIRs are then equalized using the iterative multiple-input/output inverse theorem (MINT). It is assumed that the speaker stays still within an utterance, however, the speaker changes his/her position between the utterances. The simulation experiments conducted in various reverberant environment and speaker's position demonstrate that the proposed method can satisfactorily improve the perceptual quality of the noisy reverberated speech.
Starting Page	274
Ending Page	277
File Size	981909
Page Count	4
File Format	PDF
e-ISBN	9781479941667
DOI	10.1109/ICECE.2014.7026979
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-20
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Channel estimation Microphones Reverberation Robustness Noise measurement additive noise speech dereverberation blind multichannel estimation iterative multichannel equalization non-stationary speaker
Content Type	Text
Resource Type	Article

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