A study on impact of language model in improving the accuracy of speech to text conversion system

Speech to text conversion comprises of small, medium and large vocabulary conversions. such systems process or accepts the voice which then gets converted to their respective text. This paper gives a comparative analysis of the technologies used in small, medium, and large vocabulary Speech Recognition System. The comparative study determines the benefits and liabilities of all the approaches so far. The experiment shows the role of language model in improving the accuracy of speech to text conversion system. We experimented the speech data with noisy sentences and incomplete words. The results shows a prominent result for randomly chosen sentences compared to sequential set of sentences.