InforLorV4, Main, Exploration, bibRecord, 001C30

Prediction of Cepstral Excitation Pulses for Voice Conversion

Identifieur interne : 001C30 ( Main/Exploration ); précédent : 001C29; suivant : 001C31

Prediction of Cepstral Excitation Pulses for Voice Conversion

Auteurs : Fadoua Bahja [Maroc] ; Joseph Di Martino [France] ; El Hassan Ibn Elhaj [Maroc] ; Driss Aboutajdine [Maroc]

Source :

RBID : Hal:hal-00761776

Abstract

Voice conversion is one of useful techniques to enhance pathological speech to be perceived as normal speech, although it concerns also the modifications of normal source speaker's speech to be perceived as if a target speaker had uttered it. The parameters to be converted are obtained by matching the spectral envelope of the vocal tract for the source and the target speech. Gaussian Mixture Models (GMMs) parameters are determined for providing conversion functions. The main contribution of our study consists in the prediction of Fourier cepstrum coefficients related to the excitation signal. Such a prediction leads to a satisfactory voice conversion system. Subjective perceptual results indicate that the proposed approach yields significant improvements in quality of the converted voice.

Url:

https://hal.inria.fr/hal-00761776

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Hal, to step Curation: 003C67
to stream Hal, to step Checkpoint: 001852
to stream Main, to step Merge: 001C59
to stream Main, to step Curation: 001C30

Le document en format XML

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<front><div type="abstract" xml:lang="en">Voice conversion is one of useful techniques to enhance pathological speech to be perceived as normal speech, although it concerns also the modifications of normal source speaker's speech to be perceived as if a target speaker had uttered it. The parameters to be converted are obtained by matching the spectral envelope of the vocal tract for the source and the target speech. Gaussian Mixture Models (GMMs) parameters are determined for providing conversion functions. The main contribution of our study consists in the prediction of Fourier cepstrum coefficients related to the excitation signal. Such a prediction leads to a satisfactory voice conversion system. Subjective perceptual results indicate that the proposed approach yields significant improvements in quality of the converted voice.</div>
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Prediction of Cepstral Excitation Pulses for Voice Conversion

Prediction of Cepstral Excitation Pulses for Voice Conversion

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Abstract

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