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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | Live Speech to Text Conversion(Punjabi) using Wav2Vec2.0 |
| Authors Name: | Mihir Khurana , Avi Aswal , Nikhil Aggarwal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_184692
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| Published Paper Id: | IJNRD2212161 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | http://doi.one/10.1729/Journal.32523 |
| 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. |
| Keywords: | Machine Learning , CNN , Neural Networks , Speech , Automation |
| Cite Article: | "Live Speech to Text Conversion(Punjabi) using Wav2Vec2.0", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b538-b543, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212161.pdf |
| Downloads: | 000118760 |
| 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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Published Paper ID:IJNRD2212161 Registration ID: 184692 Published In: Volume 7 Issue 12, December-2022 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.32523 Page No: b538-b543 Country: Delhi, DELHI, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212161 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212161 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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