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Authors: Joseph Razik 1 ; Sébastien Paris 2 and Hervé Glotin 1

Affiliations: 1 Université du Sud Toulon-Var, France ; 2 Université Aix-Marseille, France

ISBN: 978-989-8425-99-7

Keyword(s): MFCC, GMM, Sparse coding, Large-scale SVM, Explicit feature maps.

Related Ontology Subjects/Areas/Topics: Applications ; Audio and Speech Processing ; Digital Signal Processing ; Learning in Process Automation ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Software Engineering ; Telecommunications

Abstract: We present in this paper a novel approach for the phoneme recognition task that we want to extend to an automatic speech recognition system (ASR). Usual ASR systems are based on a GMM-HMM combination that represents a fully generative approach. Current discriminative methods are not tractable in large scale data set case, especially with non-linear kernel. In our system, we introduce a new scheme using jointly sparse coding and an approximation additive kernel for fast SVM training for phoneme recognition. Thus, on a broadcast news corpus, our system outperforms the use of GMMs by around 2.5% and is computationally linear to the number of samples.

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Paper citation in several formats:
Razik, J.; Paris, S. and Glotin, H. (2012). BROADCAST NEWS PHONEME RECOGNITION BY SPARSE CODING.In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8425-99-7, pages 191-197. DOI: 10.5220/0003778201910197

@conference{icpram12,
author={Joseph Razik. and Sébastien Paris. and Hervé Glotin.},
title={BROADCAST NEWS PHONEME RECOGNITION BY SPARSE CODING},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2012},
pages={191-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003778201910197},
isbn={978-989-8425-99-7},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - BROADCAST NEWS PHONEME RECOGNITION BY SPARSE CODING
SN - 978-989-8425-99-7
AU - Razik, J.
AU - Paris, S.
AU - Glotin, H.
PY - 2012
SP - 191
EP - 197
DO - 10.5220/0003778201910197

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