A Speech Recognition System for Myanmar Digits
Keywords:
Hidden Markov model, MFCC, Myanmar digits, speech recognitionAbstract
Automatic speech recognition (ASR) is a
technology that allows a computer to recognize the words spoken by a person through a telephone, microphone or other input devices. This paper focuses on recognizing numbers or digits because of their importance in banking system, customer queuing system, phone dialing system, and so on. We describe
a speech recognition system for Myanmar digits based on the Hidden Markov Model (HMM) using HTK Tools. Our system recognizes the speech utterance by converting the speech waveform into a set of feature vectors using Mel Frequency Cepstral Coefficients (MFCC) technique. We use HMM-based acoustic and language models. Experiment is carried out to
evaluate the performance of our speech recognizer with both context independent and context dependent models and yields significant results.
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