Volume 1 Number 3 (Sep. 2012)
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IJCCE 2012 Vol.1(3): 233-236 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2012.V1.60

An Efficient Front-End for Distributed Speech Recognition over Mobile

Addou Djamel, Selouani Sid Ahmed, Malika Boudraa, and Bachir Boudraa
Abstract—To improve the robustness of distributed speech front-ends in mobile communication we introduce, in this paper, a new set of feature vector which is estimated through three steps. First, the Mel-Line Spectral Frequencies (MLSFs) coefficients are combined with conventional MFCCs, after extracted from a denoised acoustic frame using the wiener filter. Also, we optimize the stream weights of multi-stream HMMs by deploying a discriminative approach. Finally, these features are adequately transformed and reduced in a multi-stream scheme using Karhunen-Loeve Transform (KLT). Recognition experiments on the Aurora 2 connected digits database reveal that the proposed front-end leads to a significant improvement in speech recognition accuracy for highly noisy GSM.

Index Terms—Distributed speech recognition, front-end processing, mel-frequency coefficients, Mobile communications, noise robustness.

D. Addou, M. Boudraa, and B. Boudraa are with the Faculty of Computer Sciences and Electronical at Sciences & Technology Houari Boumediene University, Algiers, Algeria (e-mail: daddou@ usthb.dz).
S. A. Selouani is with the School of Engineering and Mathematical Sciences at Moncton University, New Brunswick Canada (e-mail: selouani@umcs.ca).


Cite: Addou Djamel, Selouani Sid Ahmed, Malika Boudraa, and Bachir Boudraa, "An Efficient Front-End for Distributed Speech Recognition over Mobile," International Journal of Computer and Communication Engineering vol. 1, no. 3, pp. 233-236, 2012.

General Information

ISSN: 2010-3743
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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