TY  - JOUR
T1  - Automatic Segmentation of Bangla Speech: A New Approach
AU - , Syed Akhter Hossain AU - , Md Lutfar Rahman AU - , Md Farruk Ahmed, 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 12
SP  - 1127
EP  - 1130
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.1127.1130
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.1127.1130
KW  - Speech processing
KW  -zero crossing
KW  -energy
KW  -voiced
KW  -unvoiced
KW  -phoneme
AB  - Automatic segmentation of Bangla isolated utterances is investigated in this study based on zero crossing and frame energy based segmentation of containing both vowel and consonant phonemes of both male and female speakers. This study proposed an algorithm for automatic segmentation of sections of speech samples based on whether they are silence, voiced or unvoiced speech. The segmentation is accomplished based on the processing of the speech samples and calculation of zero crossing and short-term energy functions. The thresholds are set based on the maximum likely hood for more accurate labeling the parts of speech. The study has shown good accuracy of lassification in the algorithms implemented over all speech samples. Such an effective speech segmentation would play a central role in voice activated application development.
ER  -