BODO Speech Recognition based on Hidden Markov Model Toolkit (HTK)

This Speech recognition is the process of converting an acoustic waveform into the text similar to the information being conveyed by the speaker. The speech recognition in multilingual is found to be very difficult to improve over separately trained systems. We experiments on different evaluation approach to speech recognition in multilingual, in which the phone sets are entirely distinct. The model has parameters not tied to specific states but that are shared across languages. The text-to-speech synthesis systems require a accurate prosody labels to generate natural-sounding speech. This research paper is to build a speech recognition system for Bodo language using Hidden Markov Model Toolkit (HTK). The system is trained for continuous Bodo speech and the continuous Bodo speech has been taken from male Bodo speakers.