This paper presents a report on an Automatic Speech Recognition System (ASR) for different Indian language under different accent. The paper is a comparative study of the performance of system developed which uses Hidden Markov Model (HMM) as the classifier and Mel-Frequency Cepstral Coefficients (MFCC) as speech features.
CITATION STYLE
Singh, M. T. (2016). Automatic Speech Recognition System: A Survey Report. Science & Technology Journal, 4(2), 152–155. https://doi.org/10.22232/stj.2016.04.02.10
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