Grid-based approximation for voice conversion in low resource environments

Abstract

The goal of voice conversion is to modify a source speaker’s speech to sound as if spoken by a target speaker. Common conversion methods are based on Gaussian mixture modeling (GMM). They aim to statistically model the spectral structure of the source and target signals and require relatively large training sets (typically dozens of sentences) to avoid over… (More)
DOI: 10.1186/s13636-016-0081-1

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