| Speech-intelligibility improvements using a binaural adaptive-scheme based conceptually on human auditory processing. | |
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MedLine Citation:
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PMID: 10630478 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A speech enhancement scheme is presented using diverse processing in sub-bands spaced according to a human-cochlear describing function. The binaural adaptive scheme decomposes the wide-band input signals into a number of band-limited signals, superficially similar to the treatment the human ears perform on incoming signals. The results of a series of intelligibility and formal listening tests are presented in which acoustic speech signals corrupted with recorded automobile noise were presented to 15 normal hearing volunteer subjects. For the experimental cases considered, the proposed binaural adaptive sub-band processing scheme delivers a statistically significant improvement in terms of both speech-intelligibility and perceived quality when compared with both the conventional wide-band processed and the noisy unprocessed case. The scheme is capable of extension to a potentially more flexible sub-band processing method based on a constrained artificial neural network (ANN). |
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Authors:
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A Hussain; D R Campbell |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: International journal of neural systems Volume: 9 ISSN: 0129-0657 ISO Abbreviation: Int J Neural Syst Publication Date: 1999 Oct |
Date Detail:
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Created Date: 2000-02-07 Completed Date: 2000-02-07 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9100527 Medline TA: Int J Neural Syst Country: SINGAPORE |
Other Details:
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Languages: eng Pagination: 461-6 Citation Subset: IM |
Affiliation:
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Department of Applied Computing, University of Dundee, Scotland, UK. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Acoustic Stimulation Adolescent Adult Audiometry Auditory Cortex / physiology* Cochlea / physiology Female Humans Male Middle Aged Neural Networks (Computer)* Noise Speech Perception* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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