SPEECH RECOGNITION USING PYTHON


EOI: 10.11242/viva-tech.01.05.118

Download Full Text here



Citation

Manthan Mohile, Aishwarya Patil, Tanvi Pawar , Meena Perla , "SPEECH RECOGNITION USING PYTHON", VIVA-IJRI Volume 1, Issue 5, Article 118, pp. 1-6, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Speech recognition technology is one from the fast growing engineering technologies. It has a number of applications in different areas and provides potential benefits. Nearly 20% people of the world are suffering from various disabilities; many of them are blind or unable to use their hands effectively. The speech recognition systems in those particular cases provide a significant help to them, so that they can share information with people by operating computer through voice input. This project is designed and developed keeping that factor into mind, and a little effort is made to achieve this aim. Our project is capable to recognize the speech and convert the input audio into text; it also enables a user to perform operations such as “save, open, exit” a file by providing voice input. It also helps the user to open different system software such as opening Ms-paint, notepad and calculator. At the initial level effort is made to provide help for basic operations as discussed above, but the software can further be updated and enhanced in order to cover more operations.

Keywords

Python , speech , speech processing.

References

  • Speech recognition- The next revolution” 5th edition.
  • Ksenia Shalonova, “Automatic Speech Recognition” 07 DEC 2007
  • Source:http://www.cs.bris.ac.uk/Teaching/Resources/COMS12303/lectures/Ksenia_ShalonovaSpeech_Recognition.pdf
  • C. Gopala Krishnan1 , Y. Harold Robinson2 , Naveen Chilamkurti3Machine Learning Techniques for Speech Recognition using the Magnitude Journal of Multimedia Information System,2020.
  • Dhanush Kumar S, Lavanya S, Journal of Speech to Text Conversion,IJARIIT, 2018.
  • Nenny Anggraini, Angga Kurniawan, Luh Kesuma, Wardhani, Nashrul Hakiem, Speech Recognition Application for the Speech Impaired using the Android-based Google Cloud Speech API,TELKOMNIKA,2018
  • Aditya Amberkar, Gaurav Deshmukh, Speech Recognition using Recurrent Neural Networks,IEEE, 2018.
  • Taneal ALUMAE¨ 1 and Ottokar TILK, Automatic Speech Recognition System for Lithuanian Broadcast Audio, IOS PRESS,2016.
  • Akhilesh Halageri , Amrita Bidappa , Arjun C , Madan Mukund Sarathy , Shabana Sultana, Speech Recognition using Deep Learning IJCSIT,2015.
  • Tanel ALUMAE., Full-duplex Speech-to-text System for Estonian,IOS PRESS,2014.
  • George E. Dahl, Dong Yu, Senior Member, Context Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition, IEEE,2012.
  • Dhanush Kumar S, Lavanya S, Journal of Speech to Text Conversion,IJARIIT, 2018
  • Aditya Amberkar, Gaurav Deshmukh, Speech Recognition using Recurrent Neural Networks,IEEE, 2018.
    •