Speech to Text Using NLP

Abstract

Speech to text model is automatic speech recognition model which converts the spoken words into the corresponding text of that word.The objective of this system is to take input from the user in audio format and convert it into the words, which would be designed for the application of ATVM machine. The model for speech to text is created by using the neural networks to train the dataset of various recordings related to train ticket and then it was tested.Therefore, this model provides a better way to book a train ticket in a easy way by means of speech to text.

Keywords: speech, text, NLP, technology, KNN

Cite this Article: Gauri Dhammpal Suryawanshi, Dhanshree Sanjay Thakare, Jyoti Krishnat Yadav, Vrushali Pankaj Thakur. Speech to Text Using NLP. Recent Trends in Parallel Computing. 2020; 7(2): 4–8p.