Change search
ReferencesLink to record
Permanent link

Direct link
Intelligibility Prediction of Single-Channel Noise-Reduced Speech
2010 (English)Conference paper (Refereed)
Abstract [en]

In general, single-channel noise-reduction algorithms do not improve the speech intelligibility for normal-hearing listeners. A reliable objective intelligibility measure is therefore of great interest. It could be used for analysis and/or optimization of noise-reduction algorithms. For these applications it is important that the objective measure can correctly predict the difference in intelligibility before and after noise reduction. Typically, existing studies do not evaluate objective measures for this property. Twelve objective measures are evaluated in order to let them predict the intelligibility before and after noise reduction. Best performance was obtained with a recently developed intelligibility predictor called STOI. Modest results were obtained with WSS and NSEC. The remaining measures significantly overestimated the intelligibility of the noise-reduced speech.

Place, publisher, year, edition, pages
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-98829OAI: diva2:539509
ITG-Fachtagung Sprachkommunikation
QC 20120807Available from: 2012-07-04 Created: 2012-07-03 Last updated: 2012-08-07Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Taal, Cees H.
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 9 hits
ReferencesLink to record
Permanent link

Direct link