A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech

Authors:
Tiago H. Falk;Chenxi Zheng;Wai-Yip Chan
Affiliations:
Bloorview Research Institute, Bloorview Kids Rehab, University of Toronto, Toronto, ON, Canada and Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada;Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada;Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada
Venue:
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Year:
2010

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Abstract

A modulation spectral representation is investigated for non-intrusive quality and intelligibility measurement of reverberant and dereverberated speech. The representation is obtained by means of an auditory-inspired filterbank analysis of critical-band temporal envelopes of the speech signal. Modulation spectral insights are used to develop an adaptive measure termed speech to reverberation modulation energy ratio. Experimental results show the proposed measure outperforming three standard algorithms for tasks involving estimation of multiple dimensions of perceived coloration, as well as quality measurement and intelligibility estimation of reverberant and dereverberated speech.