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 in | Speech communication Vol. 40; no. 4; pp. 575 - 592 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.06.2003
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Subjects | |
Online Access | Get full text |
ISSN | 0167-6393 1872-7182 |
DOI | 10.1016/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. |
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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 |
Author_xml | – sequence: 1 givenname: Kathryn Hoberg surname: Arehart fullname: Arehart, Kathryn Hoberg email: kathryn.arehart@colorado.edu organization: Department of Speech, Language and Hearing Sciences, Box 409 UCB, University of Colorado at Boulder, Boulder, CO 80309, USA – sequence: 2 givenname: John H.L surname: Hansen fullname: Hansen, John H.L organization: Department of Speech, Language and Hearing Sciences, Box 409 UCB, University of Colorado at Boulder, Boulder, CO 80309, USA – sequence: 3 givenname: Stephen surname: Gallant fullname: Gallant, Stephen organization: Robust Speech Processing Laboratory, Center for Spoken Language Research, Box 594 UCB, University of Colorado at Boulder, Boulder, CO 80309, USA – sequence: 4 givenname: Laura surname: Kalstein fullname: Kalstein, Laura organization: Department of Speech, Language and Hearing Sciences, Box 409 UCB, University of Colorado at Boulder, Boulder, CO 80309, USA |
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Keywords | Hearing aids Auditory masked threshold Speech intelligibility Speech quality Noise suppression Hearing loss |
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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 |
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