Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners

While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing (NH) individuals. In addition, no speech enhancement algorithms reported in the signal processing community have reported an improvement in inte...

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Published inSpeech communication Vol. 40; no. 4; pp. 575 - 592
Main Authors Arehart, Kathryn Hoberg, Hansen, John H.L, Gallant, Stephen, Kalstein, Laura
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2003
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ISSN0167-6393
1872-7182
DOI10.1016/S0167-6393(02)00183-8

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Abstract While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing (NH) individuals. In addition, no speech enhancement algorithms reported in the signal processing community have reported an improvement in intelligibility, with the exception of a recent study by Tsoukalas et al. [IEEE Transactions of Speech and Audio Processing 5 (6) (1997) 497]. This study addresses the problem of speech enhancement for both NH and hearing-impaired (HI) subjects. A noise suppression algorithm based on auditory masked thresholds was implemented and evaluated for NH and HI subjects. Two different tests for intelligibility were used in the evaluation including the nonsense syllable test and the diagnostic rhyme test. Speech quality was evaluated using sentences from the hearing-in-noise test. Tests were performed using two types of noise (voice communications channel and automobile highway noise) at two different signal-to-noise ratios. Ten NH and 11 HI listeners were used to evaluate the enhancement algorithm. Results indicate that the enhancement algorithm yielded significantly better quality ratings and significantly better intelligibility scores in both NH and HI listeners in some but not all of the test conditions. The algorithm resulted in the greatest intelligibility improvements in the communications channels noise and for the nonsense syllable stimuli.
AbstractList While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing (NH) individuals. In addition, no speech enhancement algorithms reported in the signal processing community have reported an improvement in intelligibility, with the exception of a recent study by Tsoukalas et al (1997). This study addresses the problem of speech enhancement for both NH & hearing-impaired (HI) subjects. A noise suppression algorithm based on auditory masked thresholds was implemented & evaluated for NH & HI subjects. Two different tests for intelligibility were used in the evaluation including the nonsense syllable test & the diagnostic rhyme test. Speech quality was evaluated using sentences from the hearing-in-noise test. Tests were performed using two types of noise (voice communications channel & automobile highway noise) at two different signal-to-noise ratios. Ten NH & 11 HI listeners were used to evaluate the enhancement algorithm. Results indicate that the enhancement algorithm yielded significantly better quality ratings & significantly better intelligibility scores in both NH & HI listeners in some but not all of the test conditions. The algorithm resulted in the greatest intelligibility improvements in the communications channels noise & for the nonsense syllable stimuli. 4 Tables, 9 Figures, 41 References. Adapted from the source document
While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing (NH) individuals. In addition, no speech enhancement algorithms reported in the signal processing community have reported an improvement in intelligibility, with the exception of a recent study by Tsoukalas et al. [IEEE Transactions of Speech and Audio Processing 5 (6) (1997) 497]. This study addresses the problem of speech enhancement for both NH and hearing-impaired (HI) subjects. A noise suppression algorithm based on auditory masked thresholds was implemented and evaluated for NH and HI subjects. Two different tests for intelligibility were used in the evaluation including the nonsense syllable test and the diagnostic rhyme test. Speech quality was evaluated using sentences from the hearing-in-noise test. Tests were performed using two types of noise (voice communications channel and automobile highway noise) at two different signal-to-noise ratios. Ten NH and 11 HI listeners were used to evaluate the enhancement algorithm. Results indicate that the enhancement algorithm yielded significantly better quality ratings and significantly better intelligibility scores in both NH and HI listeners in some but not all of the test conditions. The algorithm resulted in the greatest intelligibility improvements in the communications channels noise and for the nonsense syllable stimuli.
Author Arehart, Kathryn Hoberg
Gallant, Stephen
Kalstein, Laura
Hansen, John H.L
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Issue 4
Keywords Hearing aids
Auditory masked threshold
Speech intelligibility
Speech quality
Noise suppression
Hearing loss
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Snippet While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing...
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SubjectTerms Auditory masked threshold
Auditory Masking
Hearing aids
Hearing Disorders
Hearing loss
Intelligibility
Noise
Noise suppression
Speech intelligibility
Speech quality
Title Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners
URI https://dx.doi.org/10.1016/S0167-6393(02)00183-8
https://www.proquest.com/docview/28070644
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Volume 40
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