Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9694
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ajmera, Pawan K. | - |
dc.date.accessioned | 2023-03-14T06:53:34Z | - |
dc.date.available | 2023-03-14T06:53:34Z | - |
dc.date.issued | 2010-02 | - |
dc.identifier.uri | 10.5120/294-458 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9694 | - |
dc.description.abstract | This paper presents a speaker recognition method which makesuse of auditory features and polynomial classifier for speakerrecognition. Auditory features based on an auditory peripherymodel extract significant speaker characteristics. Polynomialclassifier has been used to accomplish speaker recognition task.Polynomial classifier has several advantages over theconventional classifiers such as computational scalability with thenumber of speakers, discriminative training allowing it to use outof class data and the statistical interpretation of scoring allowing it to combine with HMM and GMM. This approach achievessubstantial performance improvement in a speaker identificationtask compared with state-of-the-art in a wide range of signal tonoise conditions. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Journal of Computer Applications | en_US |
dc.subject | EEE | en_US |
dc.subject | Speaker recognition | en_US |
dc.subject | Auditory features | en_US |
dc.subject | Polynomial classifier | en_US |
dc.title | Speaker Recognition Using Auditory Features and Polynomial Classifier | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Electrical and Electronics Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.