Speaker recognition using neural responses from the model of the auditory system

Noor Fadzilah Razali, Wissam A. Jassim, Leyla Roohisefat, M. S.A. Zilany

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Speaker recognition is a process of determining a person's identity using features in speech signals. In this study, a new speaker recognition (identification and verifica-tion) system is proposed using the responses from a computational model of the auditory system. A neurogram (2D) was constructed from the responses of the model of auditory nerve fibers for a range of characteristic frequencies. The proposed neurogram based speaker recognition system was trained and tested using a Gaussian mixture model classification technique. The performance of the proposed method was evaluated for both clean speech and speech under noisy environment. The result of the proposed method was compared to a traditional speaker recognition technique, referred to as the mel-frequency cepstral coefficient method. The proposed method showed better performance than the traditional approach, especially under noisy conditions. The proposed method could be applied in security and voice recognition systems.

Original languageEnglish
Title of host publication2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-79
Number of pages4
ISBN (Electronic)9781479961207
DOIs
Publication statusPublished - 27 Jan 2014
Externally publishedYes
Event2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014 - Kuching, Sarawak, Malaysia
Duration: 1 Dec 20144 Dec 2014

Publication series

Name2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014

Conference

Conference2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014
Country/TerritoryMalaysia
CityKuching, Sarawak
Period1/12/144/12/14

Keywords

  • auditory nerve model
  • Gaussian Mixture Model
  • mel-frequency cepstral coefficient
  • neurogram
  • speaker identification
  • speaker verification

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