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Article Details

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.

Continuous Bangla Speech Segmentation using Short-term Speech Features Extraction Approaches

Author 1: Md Mijanur Rahman
Author 2: Md. Al-Amin Bhuiyan

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.031121

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

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Abstract: This paper presents simple and novel feature extraction approaches for segmenting continuous Bangla speech sentences into words/sub-words. These methods are based on two simple speech features, namely the time-domain features and the frequency-domain features. The time-domain features, such as short-time signal energy, short-time average zero crossing rate and the frequency-domain features, such as spectral centroid and spectral flux features are extracted in this research work. After the feature sequences are extracted, a simple dynamic thresholding criterion is applied in order to detect the word boundaries and label the entire speech sentence into a sequence of words/sub-words. All the algorithms used in this research are implemented in Matlab and the implemented automatic speech segmentation system achieved segmentation accuracy of 96%.

Keywords: Speech Segmentation; Features Extraction; Short-time Energy; Spectral Centroid; Dynamic Thresholding.

Md Mijanur Rahman and Md. Al-Amin Bhuiyan, “Continuous Bangla Speech Segmentation using Short-term Speech Features Extraction Approaches” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031121

@article{Rahman2012,
title = {Continuous Bangla Speech Segmentation using Short-term Speech Features Extraction Approaches},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031121},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031121},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {11},
author = {Md Mijanur Rahman and Md. Al-Amin Bhuiyan}
}


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