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On Optimal Linear Filtering of Speech for Near-End Listening Enhancement
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2013 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 20, no 3, 225-228 p.Article in journal (Refereed) Published
Abstract [en]

In this letter the focus is on linear filtering of speech before degradation due to additive background noise. The goal is to design the filter such that the speech intelligibility index (SII) is maximized when the speech is played back in a known noisy environment. Moreover, a power constraint is taken into account to prevent uncomfortable playback levels and deal with loudspeaker constraints. Previous methods use linear approximations of the SII in order to find a closed-form solution. However, as we show, these linear approximations introduce errors in low SNR regions and are therefore suboptimal. In this work we propose a nonlinear approximation of the SII which is accurate for all SNRs. Experiments show large intelligibility improvements with the proposed method over the unprocessed noisy speech and better performance than one state-of-the art method.

Place, publisher, year, edition, pages
2013. Vol. 20, no 3, 225-228 p.
Keyword [en]
Near-end enhancement, speech enhancement, speech intelligibility, speech intelligibility index
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-119096DOI: 10.1109/LSP.2013.2240297ISI: 000314723300005Scopus ID: 2-s2.0-84873396291OAI: oai:DiVA.org:kth-119096DiVA: diva2:611007
Note

QC 20130314

Available from: 2013-03-14 Created: 2013-03-07 Last updated: 2017-12-06Bibliographically approved

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