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Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 19 |
| Year of Publication: 2018 |
| Authors: Nath Sanghamitra, Sharma Utpal |
10.5120/ijca2018916443
|
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
Abstract
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.
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