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Improving speech intelligibility in noise by SII-dependent preprocessing using frequency-dependent amplification and dynamic range compression

 
: Schepker, H.; Rennies, J.; Doclo, S.

Bimbot, F. ; International Speech Communication Association -ISCA-:
14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013 : Lyon, France, August 25-29, 2013
Lyon: ISCA, 2013
pp.3577-3581
International Speech Communication Association (Annual Conference INTERSPEECH) <14, 2013, Lyon>
English
Conference Paper
Fraunhofer IDMT ()

Abstract
In this contribution, a new preprocessing algorithm to improve speech intelligibility in noise is proposed, which maintains the signal power before and after processing. The proposed Adapt- DRC algorithm consists of two time- And frequency-dependent stages, which are both functions of the estimated SII. The first stage applies a time- And frequency-dependent amplification, while the second stage applies a time- And frequency-dependent dynamic range compression (DRC). Experiments with a competing speaker (CS) and a speech-shaped noise (SSN) show an increase in speech intelligibility for a wide range of SNRs for four different objective measures that are correlated with speech intelligibility. Listening tests conducted within the framework of the Hurricane Challenge with 175 subjects confirm these findings and show improvements of up to 20.5% in intelligibility for SSN and 12.3% for CS. Copyright

: http://publica.fraunhofer.de/documents/N-350506.html