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Authors: Nassim Asbai 1 ; Messaoud Bengherabi 2 ; Farid Harizi 2 and Abderrahmane Amrouche 3

Affiliations: 1 Centre for Development of Advanced Technologies and USTHB, Algeria ; 2 Centre for Development of Advanced Technologies, Algeria ; 3 USTHB, Algeria

ISBN: 978-989-8565-74-7

Keyword(s): MFCCs, LFCCs, Asymmetric Tapers, Score Fusion, NOISEX-92, TIMIT Corpus.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Telecommunications

Abstract: This paper provides an overview of low-level features for speaker recognition, with an emphasis on the recently proposed MFCC variant based on asymmetric tapers (MFCC asymmetric from now on); which has proven high noise robustness in the context of speaker verification. Using the TIMIT corpus the performance of the MFCC-asymmetric is compared with: the standard Mel-Frequency Cepstral Coefficients (MFCC) and The Linear Frequency Cepstral Coefficients (LFCC) under clean and noisy environments. To simulate real world conditions, the verification phase was tested with two noises (babble and factory) at different Signal-to-Noise Ratios (SNR) issued from NOISEX-92 database. The experimental results showed that MFCCs-asymmetric tapers (k=4) outperform other features in noisy condition. Finally, we have investigated the impact of consolidating evidences from different features by score level fusion. Preliminary results show promising improvement on verification rate with score fusion.

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Paper citation in several formats:
Asbai, N.; Bengherabi, M.; Harizi, F. and Amrouche, A. (2013). Improving the Performance of Speaker Verification Systems under Noisy Conditions using Low Level Features and Score Level Fusion.In Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013) ISBN 978-989-8565-74-7, pages 33-38. DOI: 10.5220/0004525500330038

@conference{sigmap13,
author={Nassim Asbai. and Messaoud Bengherabi. and Farid Harizi. and Abderrahmane Amrouche.},
title={Improving the Performance of Speaker Verification Systems under Noisy Conditions using Low Level Features and Score Level Fusion},
booktitle={Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013)},
year={2013},
pages={33-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004525500330038},
isbn={978-989-8565-74-7},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2013)
TI - Improving the Performance of Speaker Verification Systems under Noisy Conditions using Low Level Features and Score Level Fusion
SN - 978-989-8565-74-7
AU - Asbai, N.
AU - Bengherabi, M.
AU - Harizi, F.
AU - Amrouche, A.
PY - 2013
SP - 33
EP - 38
DO - 10.5220/0004525500330038

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