Performance analysis of isolated Bangla speech recognition system using Hidden Markov Model.
International Journal of Scientific and Engineering Research(IJSER), Volume 6, Issue 1, January 2015 Edition ISSN 2229-5518 page 540-545.
Here we present a model of isolated speech recognition (ISR) system for the Bangla character set and analysis the performance of that recognizer model. In this isolated Bangla speech recognition is implemented by the combining MFCC as feature extraction for the input audio file and used Hidden Markov Model (HMM) for training & recognition due to HMMs uncomplicated and effective framework for modeling time-varying sequence of spectral feature vector. A series of experiments have been performed with 10-talkers (5 male and 5 female) by 56 Bangla characters (include, Bangla vowel, Bangla consonant, Bangla digits) with different conditions. So, this proposal achieved 85.714% efficiency for the isolated Bangla speech recognition system.
