Spectral splitting of speech signal using time varying recursive filters for binaural hearing aids

<p>Speech perception in noisy environments is reduced in human with sensorineural hearing loss (SNHL) due to masking. Moderate SNHL cannot be cured medically hence masking effects should be reduced to enhance speech perception. To reduce masking, processing delay and hardware complexity the present paper is proposed a scheme to partition the voice signal into two signals which are complementary to each other by using the filter-bank summation method (FBSM) with a set of time-varying recursive band pass filters. Performance of the filter is evaluated with following measures: perceptual evaluation of speech quality (PESQ), mean opinion score (MOS) for speech quality and modified rhyme test (MRT) for speech intelligibility. The test signals used for the evaluation of quality are a syllable and a word and for the evaluation of intelligibility 300 monosyllabic words are used. The results demonstrated an increase in the quality and intelligibility of processed speech in a noisy environment. As a result, there is an enhancement in perception of processed speech in a noisy environment.</p>

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Publication Details

Journal
IAES International Journal of Artificial Intelligence
Published
2024-10-08
DOI
https://doi.org/10.11591/ijai.v13.i4.pp4998-5004
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

Spectral splitting of speech signal using time varying recursive filters for binaural hearing aids

Aparna Chilakawad, Pandurangarao N. Kulkarni
IAES International Journal of Artificial Intelligence
Speech and Audio Processing
article

Spectral splitting of speech signal using time varying recursive filters for binaural hearing aids

Aparna Chilakawad, Pandurangarao N. Kulkarni
article en

Abstract

<p>Speech perception in noisy environments is reduced in human with sensorineural hearing loss (SNHL) due to masking. Moderate SNHL cannot be cured medically hence masking effects should be reduced to enhance speech perception. To reduce masking, processing delay and hardware complexity the present paper is proposed a scheme to partition the voice signal into two signals which are complementary to each other by using the filter-bank summation method (FBSM) with a set of time-varying recursive band pass filters. Performance of the filter is evaluated with following measures: perceptual evaluation of speech quality (PESQ), mean opinion score (MOS) for speech quality and modified rhyme test (MRT) for speech intelligibility. The test signals used for the evaluation of quality are a syllable and a word and for the evaluation of intelligibility 300 monosyllabic words are used. The results demonstrated an increase in the quality and intelligibility of processed speech in a noisy environment. As a result, there is an enhancement in perception of processed speech in a noisy environment.</p>

IAES International Journal of Artificial IntelligenceVol. 13(4)
Visvesvaraya Technological University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 81%
Speech and Audio Processing
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