Publications

Abstract : pThis paper aims to build an automatic speech recognition system ASR to recognize Kannada words spoken continuously, using an open source speech recognition tool, HTK. With a focus on tourism application, a speaker independent, mid-sized vocabulary voice corpus with a dictionary size of 250 has been created for this purpose. Mel frequency cepstral coefficients MFCC has been used to extract the feature vectors. The system uses Hidden Markov modelHMM with triphone acoustic modeling. The speech recognition rate is checked for offline and online recognition mode for male and female speakers. © 2018 IEEE./p