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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
ENGLISH ACCESS RECOGNITION SYSTEM USING DEEP LEARNING
Authors
P. Srinivasa Rao, B. Varun, D. Sundar Daniel, C. Akshaya, B. Shalini
Keywords
Deep Learning, CNN( Convolutional Neural Networks)
Abstract
Accent Detection is used to detect a person's pronunciation or accent associated with where they live. Deep learning is used to recognize English accents. This software is designed to check the closest English accent spoken in a location. Deep learning consists of CNNs (Convolutional Neural Networks).
Accent detection is one of the newest or growing topics. Thus, in this ideology, languages or accents are categorized, and the categorized accents provide the background of people and the demographic place in which they live. This information is useful for working with many domains. In this study, CNN is used for accent detection of English speakers.
Experimental results demonstrate the power of deep learning in accent detection and the potential of the algorithms used in this accent classification process. This process is very useful in security domains.
IJCRT's Publication Details
Unique Identification Number - IJCRT2212571
Paper ID - 229038
Page Number(s) - f35-f38
Pubished in - Volume 10 | Issue 12 | December 2022
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.33281
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
P. Srinivasa Rao, B. Varun, D. Sundar Daniel, C. Akshaya, B. Shalini, "ENGLISH ACCESS RECOGNITION SYSTEM USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.f35-f38, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212571.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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