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Near-End Listening Enhancement in the Presence of Bandpass Noises

Authors:
Sauert, B.Vary, P.
Book Title:
ITG-Fachtagung Sprachkommunikation
Publisher:
VDE Verlag GmbH
Pages:
p.p. 195-198
Date:
Sep. 2012
ISBN:
978-3-80073-455-9
Language:
English

Abstract

When using a mobile phone in acoustical background noise, the near-end listener perceives not only the (clean) far-end speech but also the ambient noise and thus experiences an increased listening effort and a possibly reduced speech intelligibility. Near-end listening enhancement processes the received far-end speech signal depending on the near-end background noise to improve intelligibility. However, in mobile phones it is often not possible to increase the audio power. In a previous contribution, the authors developed a recursive closed-form solution, which maximizes the Speech Intelligibility Index (SII) under the constraint of an unchanged average power of the audio signal. This solution, however, shows in bandpass noise environments a disadvantageous narrow bandpass characteristic of the processed speech even though the SII is optimal. Therefore, in this contribution, we analyze this algorithm and propose a new spectral weighting rule which prevents the narrow bandpass effect with only a marginal reduction in SII.

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