文章基本信息

标题：Continuous Bangla Speech Segmentation, Classification and Feature Extraction
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作者：Md. Mijanur Rahman ; Md. Farukuzzaman Khan ; Md. Al-Amin Bhuiyan 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：2
出版社：IJCSI Press
摘要：Continuous speech recognition is a multileveled pattern recognition task, which includes speech segmentation, classification, feature extraction and pattern recognition. In our work, a blind speech segmentation procedure was used to segment the continuously spoken Bangla sentences into words/sub-words like units using the end-point detection technique. These segmented words were classified according to the number of syllables and the sizes of the segmented words. MFCC signal analysis technique was used to extract the features of speech words, which including windowing. The developed system achieved the segmentation accuracy rate at about 98% and total 24 sub-classes of segmented words with MFCC features.
关键词：Segmentation; Feature Extraction; Speech Classification; MFCC and Windowing.