A WAVELET NEURAL NETWORK RAMWORK FOR SPEAKER IDNTIFCATION

W. A. Mahmoud; Dhiadeen.M. Salih; Saleem M-R. Taha

doi:10.31026/j.eng.2006.01.17

Article Details

A WAVELET NEURAL NETWORK RAMWORK FOR SPEAKER IDNTIFCATION

Authors:

W. A. Mahmoud | Dhiadeen.M. Salih | Saleem M-R. Taha

Publisher:

University of Baghdad

Journal:

Journal of Engineering Vol.12 Issue 1, pp.227-236

Document Type:

Article

Publication Date:

1/2006

Document Language:

English

Document ID (Org No.):

2001379908

pISSN:

2520-3339

DOI:

10.31026/j.eng.2006.01.17

Abstract:

 This paper introduces a new model-free identification methodology to detect and identify speakers and recognize them. The basic module of the methodology is a novel multi-dimensional wavelet neural network. The WNN approach include: a universal approximator; the time frequency localization: property of wavelets leads to reduced networks at a given level of performance; The construct used as the feature mode classifier. Wavelet transform has been successfully applied to the processing of non- stationary speech signal and the feature vector that obtained becomes the input to the wavelet neural network which is trained off-line to map features to used for the classification procedure. An example is employed to illustrate the robustness and effectiveness of the proposed scheme.

Article Details

A WAVELET NEURAL NETWORK RAMWORK FOR SPEAKER IDNTIFCATION

Authors: W. A. Mahmoud | Dhiadeen.M. Salih | Saleem M-R. Taha

Publisher: University of Baghdad

Journal: Journal of Engineering Vol.12 Issue 1, pp.227-236

Document Type: Article

Publication Date: 1/2006

Document Language: English

Document ID (Org No.): 2001379908

pISSN: 2520-3339

DOI: 10.31026/j.eng.2006.01.17

Issues

Authors:

W. A. Mahmoud | Dhiadeen.M. Salih | Saleem M-R. Taha

Publisher:

University of Baghdad

Journal:

Journal of Engineering Vol.12 Issue 1, pp.227-236

Document Type:

Article

Publication Date:

1/2006

Document Language:

English

Document ID (Org No.):

2001379908

pISSN:

2520-3339

DOI:

10.31026/j.eng.2006.01.17