In this paper, we introduce the use of bispectrum slice for mel-frequency cepstrum coefficients as robust textindependent speaker identification. The main advantage of using the bispectrum is to be able to suppress additive Gaussian noise while preserving the phase information of the signal. In order to obtain cepstral coefficients, features of the speech signal are extracted by mel-frequency filter banks, the cosine transform and the logarithm operator. Under various noisy test utterances, we compare and present the performances of the methods which use the bispectrum and the classical mel-frequency cepstrum coefficients.
Cite as: Ülüg, U., Özkurt, T.E., Akgül, T. (2007) Bispectrum mel-frequency cepstrum coefficients for robust speaker identification. Proc. ITRW on Nonlinear Speech Processing (NOLISP 2007), 31-34
@inproceedings{ulug07_nolisp,
author={Ufuk Ülüg and Tolga Esat Özkurt and Tayfun Akgül},
title={{Bispectrum mel-frequency cepstrum coefficients for robust speaker identification}},
year=2007,
booktitle={Proc. ITRW on Nonlinear Speech Processing (NOLISP 2007)},
pages={31--34}
}