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Impact Factor : 8.14

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Paper Title: A Survey on Multilingual End-to-End Automatic Continuous Speech Recognition Using Deep Neural Network
Authors Name: Jose Stephen , Dr. Jeyakumar M.K
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IJRTI_187856
Published Paper Id: IJRTI2308055
Published In: Volume 8 Issue 8, August-2023
DOI:
Abstract: Automatic Speech Recognition (ASR) systems have witnessed significant advancements in recent years, fueled by the development of deep neural networks and large-scale datasets. Multilingual end-to-end ASR, which aims to recognize speech in multiple languages using a unified framework, has gained substantial attention due to its potential applications in various domains. This article thoroughly analyses the design of deep neural frameworks for end-to-end, multilingual automatic continuous voice recognition. It offers an understanding of the latest techniques and possible directions for future research by examining the key components, challenges, and recent advancements within this domain through the lens of Wav2Vec. Wav2vec-U increases unsupervised recognition outcomes across a variety of languages, according to experiments, despite having a simpler conceptual framework.
Keywords: Speech Recognition, Multilingual, Wav2Vec, Neural Networks
Cite Article: "A Survey on Multilingual End-to-End Automatic Continuous Speech Recognition Using Deep Neural Network", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 8, page no.331 - 342, August-2023, Available :http://www.ijrti.org/papers/IJRTI2308055.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2308055
Registration ID:187856
Published In: Volume 8 Issue 8, August-2023
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Page No: 331 - 342
Country: Thiruvananthapuram, Kerala, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2308055
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2308055
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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