Monday, November 12, 2012

Normalization of Gender factor in Bangla ASR

I have completed my thesis of 18 credit hours during completing my Masters in Computer Science and Engineering at United International University. I have submitted and presented my paper to International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE) - 2012. Here is a brief information of my paper below,

Paper Title: Normalization of Gender factor in Bangla ASR
Main Author: Engr. Md.Asfak-Ur-Rahman
Other Authors:
Supervisor: Mohammad Nurul Huda

Abstract: "This paper presents a Bangla (widely used as Ben-gali) 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, Automatic Speech Recognition, Gender Effects Suppression, Hidden Markov Model

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