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EasyChair Preprint no. 3117

4 pagesDate: April 5, 2020


Speech is probably is the most efficient and natural way to communicate with each other. This system provide coding through speech. Using these users can code easily. Talk-to-Code command-based applications will make life easier due to the fact that people will get easy and fast access to information. Therefore, the popularity of automatic speech-based coding system has been greatly increased. The work of speech recognition further helps in establishing an easy way communication between interactive response system and users/ customers i.e. as a part of post processing of the speech recognizing process, we can accomplish some computational task with such a system making voice input as a trigger to do some task within the system.

Keyphrases: machine learning, Natural Languages Processing, speech recognition, speech to text

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Jay Rabadiya and Meet Bhalodiya and Aditya Das and Kamesh Patel},
  title = {Talk-to-Code},
  howpublished = {EasyChair Preprint no. 3117},

  year = {EasyChair, 2020}}
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