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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

38. Voice Transformation Using Radial Basis Function

verfasst von : J. H. Nirmal, Suparva Patnaik, Mukesh A. Zaveri

Erschienen in: Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing

Verlag: Springer New York

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Abstract

This paper presents novel technique of voice transformation (VT), which transform the individual acoustic characteristics of the source speaker so that it is perceived as if spoken like target speaker. Using features namely line spectral pairs (LSP) and pitch as spectral and glottal parameters of the source speaker are transformed into target speaker parameters using radial basis function (RBF). The results are evaluated using subjective and objective measures based on voice quality method. The listening tests prove that the proposed algorithm converts speaker individuality while maintaining high speech quality.

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Metadaten
Titel
Voice Transformation Using Radial Basis Function
verfasst von
J. H. Nirmal
Suparva Patnaik
Mukesh A. Zaveri
Copyright-Jahr
2013
Verlag
Springer New York
Buch
Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing

Print ISBN: 978-1-4614-3362-0

Electronic ISBN: 978-1-4614-3363-7

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-3363-7_38

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