NDLI: Joint blind dereverberation and separation of speech mixtures

Content Provider	IEEE Xplore Digital Library
Author	Jan, T. Wenwu Wang
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, University of Engineering & Technology Peshawar, Pakistan (Jan, T.) \|\| Centre for Vision, Speech, and Signal Processing, University of Surrey, UK (Wenwu Wang)
Abstract	This paper proposes a method for jointly performing blind source separation (BSS) and blind dereverberation (BD) for speech mixtures. In most of the previous studies, BSS and BD have been explored separately. It is common that the performance of the speech separation algorithms deteriorates with the increase of room reverberations. Also most of the dereverberation algorithms rely on the availability of room impulse responses (RIRs) which are not readily accessible in practice. Therefore in this work the dereverberation and separation method are combined to mitigate the effects of room reverberations on the speech mixtures and hence to improve the separation performance. As required by the dereverberation algorithm, a step for blind estimation of reverberation time (RT) is used to estimate the decay rate of reverberations directly from the reverberant speech signal (i.e., speech mixtures) by modeling the decay as a Laplacian random process modulated by a deterministic envelope. Hence the developed algorithm works in a blind manner, i.e., directly dealing with the reverberant speech signals without explicit information from the RIRs. Evaluation results in terms of signal to distortion ratio (SDR) and segmental signal to reverberation ratio (SegSRR) reveal that using this method the performance of the separation algorithm that we have developed previously can be further enhanced.
Starting Page	2343
Ending Page	2347
File Size	169694
Page Count	5
File Format	PDF
ISBN	9781467310680
ISSN	20761465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-27
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Estimation Signal processing algorithms Speech Reverberation Joints Speech processing Microphones
Content Type	Text
Resource Type	Article

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