Telugu Dialect Speech Dataset Creation and Recognition using Deep Learning Techniques-Reference-Cited by-同舟云学术

Telugu Dialect Speech Dataset Creation and Recognition using Deep Learning Techniques

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th India Council International Conference (INDICON)
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Author:

Podila Rama Sai Abhishek¹,Kommula Ganga Sai Sudeep¹,K Ruthvik¹,Vekkot Susmitha²,Gupta Deepa¹

Affiliation:

1. Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India

2. Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Electronics & Communication Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038981/10039721/10040194.pdf?arnumber=10040194

Reference24 articles.

1. Identification of Hindi dialects and emotions using spectral and prosodic features of speech;rao;IJSCI International Journal of Systemics Cybernetics and Informatics,2011

2. Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-$F_{0}$

3. Comparison Of Different Feature Extraction Techniques In Telugu Dialects Identification;shivaprasad;Turkish Journal of Computer and Mathematics Education,2021

4. A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism

5. Speaker-independent expressive voice synthesis using learning-based hybrid network model

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