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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 180 - Issue 19 |
| Published: Feb 2018 |
| Authors: Nath Sanghamitra, Sharma Utpal |
10.5120/ijca2018916443
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Nath Sanghamitra, Sharma Utpal . Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques. International Journal of Computer Applications. 180, 19 (Feb 2018), 1-8. DOI=10.5120/ijca2018916443
@article{ 10.5120/ijca2018916443,
author = { Nath Sanghamitra,Sharma Utpal },
title = { Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 180 },
number = { 19 },
pages = { 1-8 },
doi = { 10.5120/ijca2018916443 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Nath Sanghamitra
%A Sharma Utpal
%T Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques%T
%J International Journal of Computer Applications
%V 180
%N 19
%P 1-8
%R 10.5120/ijca2018916443
%I Foundation of Computer Science (FCS), NY, USA
The paper explores to what extent Voice Conversion techniques can help incorporate dialect specific features into synthesized speech. A popular Voice Conversion technique using Gaussian Mixture Models, has been used to develop mapping functions, between speech synthesized by a Text-to-Speech System for the standard form of the language to parallel speech recorded from a speaker of the target dialect. Mel Cepstral Coefficients are used to represent the spectral envelope and pitch, intensity and duration values have been selected to represent the prosody of speech.