Live Speech to Text Conversion(Punjabi) using Wav2Vec2.0

Registration ID: IJNRD_184692

Published ID: IJNRD2212161

DOI: http://doi.one/10.1729/Journal.32523

Mihir Khurana , Avi Aswal , Nikhil Aggarwal

Machine Learning , CNN , Neural Networks , Speech , Automation

In this paper, we provide a live conversion of speech to textual content (for Punjabi language) and further translation of the Punjabi text into English. Our methodology is based on and takes the help of a model called ‘Wav2vec 2.0’ developed by Facebook AI. This is an end to end framework that allows for self-supervised learning during the modeling process of speech representation. This method has proven to be very effective and successful in Automatic Speech Recognition (ASR) even with very few available training datasets. There has, however, been a great deal of work based on this model for one language only: English. To test the model’s robustness we have fine tuned the model on an Indian regional language called Punjabi. The resources available for the model are significantly less than those for English. So, we found it an appropriate way to test the model’s use for other languages. Our model was further pre-trained with a Punjabi dataset in order to convert it to cross-lingual usage as we had limited resources. Based on the results, we conclude that the proposed strategy yields high accuracy using the provided dataset. We also translate the transcribed text result to English for better understanding.

Published Paper   E-Certificate

Mihir Khurana, Avi Aswal , & Nikhil Aggarwal (December-2022). Live Speech to Text Conversion(Punjabi) using Wav2Vec2.0. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), b538-b543. http://doi.one/10.1729/Journal.32523

Volume 7 Issue 12, December-2022

Pages : b538-b543

Paper Reg. ID: IJNRD_184692

Published Paper Id: IJNRD2212161

Downloads: 000121992

Research Area: Computer Science & Technology 

Country: Delhi, DELHI, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212161.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212161

Crossref DOI: http://doi.one/10.1729/Journal.32523

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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