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    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 …

    Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 4–8 Read article

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