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An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speech
2011 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, Vol. 130, 3013-3027 p.Article in journal (Refereed) Published
Abstract [en]

Existing objective speech-intelligibility measures are suitable for several types of degradation, however, it turns out that they are less appropriate in cases where noisy speech is processed by a time-frequency weighting. To this end, an extensive evaluation is presented of objective measure for intelligibility prediction of noisy speech processed with a technique called ideal time frequency (TF) segregation. In total 17 measures are evaluated, including four advanced speech-intelligibility measures (CSII, CSTI, NSEC, DAU), the advanced speech-quality measure (PESQ), and several frame-based measures (e.g., SSNR). Furthermore, several additional measures are proposed. The study comprised a total number of 168 different TF-weightings, including unprocessed noisy speech. Out of all measures, the proposed frame-based measure MCC gave the best results (rho = 0.93). An additional experiment shows that the good performing measures in this study also show high correlation with the intelligibility of single-channel noise reduced speech.

Place, publisher, year, edition, pages
2011. Vol. 130, 3013-3027 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-98826DOI: 10.1121/1.3641373ISI: 000297486500059OAI: oai:DiVA.org:kth-98826DiVA: diva2:539506
Note
QC 20120807Available from: 2012-07-04 Created: 2012-07-03 Last updated: 2012-08-07Bibliographically approved

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Taal, Cees. H.
Signal Processing

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CiteExportLink to record
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  • apa
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