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Authors: L. Zão and R. Coelho

Affiliation: Military Institute of Engineering (IME), Brazil

ISBN: 978-989-8425-89-8

Keyword(s): Colored noise, Multicondition training, Speaker verification, a-GMM.

Abstract: This paper investigates the fusion of Mel-frequency cepstral coefficients (MFCC) and pH features, combined with the multicondition training (MT) technique based on artificial colored spectra noises, for noise robust speaker verification. The a-integrated Gaussian mixture models (a-GMM), an extension of the conventional GMM, are used in the speaker verification experiments. Five real acoustic noises are used to corrupt the speech signals in different signal-to-noise ratios (SNR) for tests. The experiments results show that the use of MFCC + pH feature vectors improves the accuracy of speaker verification systems based on single MFCC. It is also shown that the speaker verification system with the MFCC + pH fusion and the a-GMM with the MT technique achieves the best performance for the speaker verification task in noisy environments.

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Paper citation in several formats:
Zão, L. and Coelho, R. (2012). NOISE ROBUST SPEAKER VERIFICATION BASED ON THE MFCC AND pH FEATURES FUSION AND MULTICONDITION TRAINING.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 137-143. DOI: 10.5220/0003890501370143

@conference{biosignals12,
author={L. Zão. and R. Coelho.},
title={NOISE ROBUST SPEAKER VERIFICATION BASED ON THE MFCC AND pH FEATURES FUSION AND MULTICONDITION TRAINING},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={137-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003890501370143},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - NOISE ROBUST SPEAKER VERIFICATION BASED ON THE MFCC AND pH FEATURES FUSION AND MULTICONDITION TRAINING
SN - 978-989-8425-89-8
AU - Zão, L.
AU - Coelho, R.
PY - 2012
SP - 137
EP - 143
DO - 10.5220/0003890501370143

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