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 |
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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.