Paper Title

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

Article Identifiers

Registration ID: IJNRD_184692

Published ID: IJNRD2212161

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

Authors

Mihir Khurana , Avi Aswal , Nikhil Aggarwal

Keywords

Machine Learning , CNN , Neural Networks , Speech , Automation

Abstract

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.

How To Cite

"Live Speech to Text Conversion(Punjabi) using Wav2Vec2.0", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b538-b543, December-2022, Available :https://ijnrd.org/papers/IJNRD2212161.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : b538-b543

Other Publication Details

Paper Reg. ID: IJNRD_184692

Published Paper Id: IJNRD2212161

Downloads: 000121198

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

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

About Publisher

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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