Speech Analysis of Chhattisgarhi Dialects using Wavelet Transformation and Mel Frequency Cepstral Coefficient
Author:
Affiliation:
1. Shri Shankaracharya Technical Campus,Department of Computer Science,Bhilai,India
2. Shri Shankaracharya Technical Campus,Department of Information Technology,Bhilai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10117587/10117572/10118250.pdf?arnumber=10118250
Reference14 articles.
1. Feature Extraction of Speech Signal using LPC
2. Automatic speech recognition: a survey;mehla;Int J Adv Res Computer Sci Electron Eng (IJARCSEE),2014
3. An overview of end-to-end automatic speech recognition;wang;Symmetry,2019
4. A survey report on speech recognition system;singh;Int J Computer Appl,2015
5. Invited paper: Automatic speech recognition: History, methods and challenges
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1. An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language;Speech and Computer;2023
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