| Speaker verification using committee neural networks. | |
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MedLine Citation:
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PMID: 12941515 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Security is a major problem in web based access or remote access to data bases. In the present study, the technique of committee neural networks was developed for speech based speaker verification. Speech data from the designated speaker and several imposters were obtained. Several parameters were extracted in the time and frequency domains, and fed to neural networks. Several neural networks were trained and the five best performing networks were recruited into the committee. The committee decision was based on majority voting of the member networks. The committee opinion was evaluated with further testing data. The committee correctly identified the designated speaker in (50 out of 50) 100% of the cases and rejected imposters in (150 out of 150) 100% of the cases. The committee decision was not unanimous in majority of the cases tested. |
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Authors:
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Narender P Reddy; Ojas A Buch |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Computer methods and programs in biomedicine Volume: 72 ISSN: 0169-2607 ISO Abbreviation: Comput Methods Programs Biomed Publication Date: 2003 Oct |
Date Detail:
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Created Date: 2003-08-27 Completed Date: 2004-03-04 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8506513 Medline TA: Comput Methods Programs Biomed Country: Ireland |
Other Details:
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Languages: eng Pagination: 109-15 Citation Subset: IM |
Affiliation:
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Biomedical Engineering Department, Human Interface and Medical Informatics Laboratory, University of Akron, Akron, OH 44325-0302, USA. npreddy@uakron.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Computer Security* Computer Simulation Databases as Topic Humans Neural Networks (Computer)* Signal Processing, Computer-Assisted* Sound Spectrography* Speech / classification* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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