A Comparative Study on Native and Non-Native English Accent Classifications-Reference-Cited by-同舟云学术

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A Comparative Study on Native and Non-Native English Accent Classifications

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Futuristic Technologies (INCOFT)
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Author:

Bhowmik Tanmay¹,Choudhury Amitava¹,Sharma Abhinav²,Verma Apurv³,Kanthalia Bhavit⁴,Roy Bishwajit⁵

Affiliation:

1. Pandit Deendayal Energy University,Department of Computer Sc. and Engg.,Gandhinagar,Gujarat,India

2. Stony Brook University, Stony Brook,Department of Computer Science,New York

3. MATS University,School of Engg. and IT,Raipur,Chhattisgarh,India

4. Techno India NJR Institute of Technology,Department of Computer Sc. and Engg.,Rajasthan,India

5. University of Petroleum and Energy Studies,School of Computer Science,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094317/10094318/10094428.pdf?arnumber=10094428

Reference10 articles.

1. Foreign Accent Conversion Through Concatenative Synthesis in the Articulatory Domain

2. Foreign accent conversion in computer assisted pronunciation training

3. An empirical study of automatic accent classification

4. Accent Classification Using Support Vector Machine and Hidden Markov Model

5. Feature extraction methods lpc, plp and mfcc in speech recognition;dave;International Journal for Advance Research in Engineering and Technology,2013

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