Document Detail


Speaker verification using committee neural networks.
MedLine Citation:
PMID:  12941515     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Narender P Reddy; Ojas A Buch
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  72     ISSN:  0169-2607     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-08-27     Completed Date:  2004-03-04     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  109-15     Citation Subset:  IM    
Affiliation:
Biomedical Engineering Department, Human Interface and Medical Informatics Laboratory, University of Akron, Akron, OH 44325-0302, USA. npreddy@uakron.edu
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MeSH Terms
Descriptor/Qualifier:
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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