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DOI: 10.14569/IJACSA.2012.031115
PDF

Gender Effect Canonicalization for Bangla ASR

Author 1: B.K.M Mizanur Rahman
Author 2: Bulbul Ahamed
Author 3: Md. Asfak-Ur-Rahman
Author 4: Khaled Mahmud
Author 5: Mohammad Nurul Huda

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 11, 2012.

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Abstract: This paper presents a Bangla (widely used as Bengali) automatic speech recognition system (ASR) by suppressing gender effects. Gender characteristic plays an important role on the performance of ASR. If there is a suppression process that represses the decrease of differences in acoustic-likelihood among categories resulted from gender factors, a robust ASR system can be realized. In the proposed method, we have designed a new ASR incorporating the Local Features (LFs) instead of standard mel frequency cepstral coefficients (MFCCs) as an acoustic feature for Bangla by suppressing the gender effects, which embeds three HMM-based classifiers for corresponding male, female and geneder-independent (GI) characteristics. In the experiments on Bangla speech database prepared by us, the proposed system has achieved a significant improvement of word correct rates (WCRs), word accuracies (WAs) and sentence correct rates (SCRs) in comparison with the method that incorporates Standard MFCCs.

Keywords: Acoustic Model; AutomaticSpeech Recognition; Gender Effects Suppression; Hidden Markov Model.

B.K.M Mizanur Rahman, Bulbul Ahamed, Md. Asfak-Ur-Rahman, Khaled Mahmud and Mohammad Nurul Huda, “Gender Effect Canonicalization for Bangla ASR” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031115

@article{Rahman2012,
title = {Gender Effect Canonicalization for Bangla ASR},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031115},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031115},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {11},
author = {B.K.M Mizanur Rahman and Bulbul Ahamed and Md. Asfak-Ur-Rahman and Khaled Mahmud and Mohammad Nurul Huda}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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