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Any modification applied to speech signals has an impact on their perceptual quality. In particular, voice conversion to modify a source voice so that it is perceived as a specific target voice involves prosodic and spectral transformations that produce significant quality degradation. Choosing among the current voice conversion methods represents a(More)
In this paper the preliminary results, of a new approach on speech modeling for statistical parametric HMM-based speech synthesis are presented. The proposed system is based on a flexible pitch-asynchronous harmonic/stochastic model (HSM) [1]. The speech is modeled as the superposition of two components: a harmonic component and a stochastic or aperiodic(More)
This article explores the potential of the harmonics plus noise model of speech in the development of a high-quality vocoder applicable in statistical frameworks, particularly in modern speech synthesizers. It presents an extensive explanation of all the different alternatives considered during the design of the HNM-based vocoder, together with the(More)
Most existing voice conversion systems, particularly those based on Gaussian mixture models, require a set of paired acoustic vectors from the source and target speakers to learn their corresponding transformation function. The alignment of phonetically equivalent source and target vectors is not problematic when the training corpus is parallel, which means(More)
In the field of speaker verification (SV) it is nowadays feasible and relatively easy to create a synthetic voice to deceive a speech driven biometric access system. This paper presents a synthetic speech detector that can be connected at the front-end or at the back-end of a standard SV system, and that will protect it from spoofing attacks coming from(More)
Phase information resultant from the harmonic analysis of the speech can be very successfully used to determine the polarity of a voiced speech segment. In this paper we present two algorithms which calculate the signal polarity from this information. One is based on the effect of the glottal signal on the phase of the first harmonics and the other on the(More)
Voice conversion (VC) technology allows to transform the voice of the source speaker so that it is perceived as the voice of a target speaker. One of the applications of VC is speech-to-speech translation where the voice has to inform, not only about what is said, but also about who is the speaker. This paper introduces the different methods submitted by(More)
This paper presents a new voice conversion method called Weighted Frequency Warping (WFW), which combines the well known GMM approach and the frequency warping approach. The harmonic plus stochastic model has been used to analyze, modify and synthesize the speech signal. Special phase manipulation procedures have been designed to allow the system to work in(More)
Voice conversion methods based on frequency warping followed by amplitude scaling have been recently proposed. These methods modify the frequency axis of the source spectrum in such manner that some significant parts of it, usually the formants, are moved towards their image in the target speaker's spectrum. Amplitude scaling is then applied to compensate(More)