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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
Year of Publication: 2018
Nath Sanghamitra, Sharma Utpal

Nath Sanghamitra and Sharma Utpal. Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques. International Journal of Computer Applications 180(19):1-8, February 2018. BibTeX

	author = {Nath Sanghamitra and Sharma Utpal},
	title = {Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {19},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {1-8},
	numpages = {8},
	url = {},
	doi = {10.5120/ijca2018916443},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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.


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Voice Conversion, Gaussian mixture models, Mel Cepstral Coefficients, Formants, F0, Assamese, Nalbaria, Dialect, Pitch, Intensity, Duration, Text-to-Speech System