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Type: 
Journal
Description: 
Some recent voice conversion techniques consider models that make use of well-known paradigms of signal processing, such as Linear Predictive Coding and spectral modelling. We propose a voice converter based on Linear Predictive Coding, in which properly trained Gaussian Mixture Models transform the encoder coefficients, accounting for the glottal characteristics of a source voice, into new coefficients which provide the decoder with information about the glottal characteristics of a target voice. This voice conversion procedure results in a filter block diagram suitable for real time implementation, whose parameters can be accommodated depending on the performances of the DSP hardware at hand. A Simulink® model of the voice converter that can be directly translated into DSP code is presented. Listening experiments are shown, reporting that both non-expert and expert subjects rated the voice converter positively.
Publisher: 
Publication date: 
1 Jan 2005
Authors: 

Federico Fontana, Diego L Gonzalez

Biblio References: 
Pages: 325-330
Origin: 
Proc. of the 2005 Forum Acusticum,(Budapest, Hungary)