A wavelet based approach for speaker identification from degraded speech. | [International Journal of Communication Networks and Information Security • 2009]

Author(s):

1. A. Shafik: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

2. S. M. Elhalafawy: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

3. S. M. Diab: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

4. B. Sallam: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

5. M. F. E. Abdel-Samie: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt

Abstract:

This paper presents a robust speaker identification method from degraded speech signals. This method is based on the Mel-frequency cepstral coefficients (MFCCs) for feature extraction from the degraded speech signals and the wavelet transform of these signals. It is known that the MFCCs based speaker identification method is not robust enough in the presence of noise and telephone degradations. So, the feature extraction from the wavelet transform of the degraded signals adds more speech features from the approximation and detail components of these signals which assist in achieving higher identification rates. Neural Networks are used in the proposed method for feature matching. The Comparison study between the proposed method and the traditional MFCCs based feature extraction method from noisy speech signals and telephone degraded speech signals with additive white Gaussian noise (AWGN) and colored noise shows that the proposed method improves the recognition rates computed at different degradation cases.

Page(s): 52-58

DOI: DOI not available

Published: Journal: International Journal of Communication Networks and Information Security, Volume: 1, Issue: 3, Year: 2009

Keywords:

Keywords are not available for this article.

References:

References are not available for this document.

Citations

Citations are not available for this document.

Citations

Downloads

Views