| Effects of noise suppression on intelligibility: Dependency on signal-to-noise ratios. | |
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MedLine Citation:
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PMID: 22280614 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The effects on speech intelligibility of three different noise reduction algorithms (spectral subtraction, minimal mean squared error spectral estimation, and subspace analysis) were evaluated in two types of noise (car and babble) over a 12 dB range of signal-to-noise ratios (SNRs). Results from these listening experiments showed that most algorithms deteriorated intelligibility scores. Modeling of the results with a logit-shaped psychometric function showed that the degradation in intelligibility scores was largely congruent with a constant shift in SNR, although some additional degradation was observed at two SNRs, suggesting a limited interaction between the effects of noise suppression and SNR. |
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Authors:
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Gaston Hilkhuysen; Nikolay Gaubitch; Mike Brookes; Mark Huckvale |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: The Journal of the Acoustical Society of America Volume: 131 ISSN: 1520-8524 ISO Abbreviation: J. Acoust. Soc. Am. Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-01-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7503051 Medline TA: J Acoust Soc Am Country: United States |
Other Details:
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Languages: eng Pagination: 531 Citation Subset: IM |
Affiliation:
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Department of Speech, Hearing and Phonetic Sciences, University College London, 2 Wakefield Street, London WC1N 1PF, United Kingdom. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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