Voice conversion systems deal with the conversion of a speech signal to sound as if it was uttered by another speaker. The conversion of the spectral features has attracted a lot of research attention but the conversion of pitch, modeling the speakerdependent prosody, is often achieved by just controlling the F0 level and range. However, the detailed prosody, including different linguistic unit...

This paper describes a simultaneous conversion technique of duration and spectrum based on a statistical model including time-sequence matching. Conventional GMM-based approaches cannot perform spectral conversion taking account of speaking rate because it assumes one to one frame matching between source and target features. However, speaker characteristics may appear in speaking rates. In orde...

This paper describes the voice conversion based on the Mixtures of Factor Analyzers (MFA) which can provide an efficient modeling with a limited amount of training data. As a typical spectral conversion method, a mapping algorithm based on the Gaussian Mixture Model (GMM) has been proposed. In this method two kinds of covariance matrix structures are often used : the diagonal and full covarianc...

This paper presents a voice conversion technique based on bilinear models and introduces the concept of contextual modeling. The bilinear approach reformulates the spectral envelope representation from line spectral frequencies feature to a two-factor parameterization corresponding to speaker identity and phonetic information, the so-called style and content factors. This decomposition offers a...

This paper presents an articulatory-to-acoustic conversion method using electromagnetic midsagittal articulography (EMA) measurements as input features. Neural networks, including feed-forward deep neural networks (DNNs) and recurrent neural networks (RNNs) with long short-term term memory (LSTM) cells, are adopted to map EMA features towards not only spectral features (i.e. mel-cepstra) but al...

We put forward an approach for manipulating the spectral profile of entangled photon pairs. Such spectral properties are mediated by the geometry of noncollinear spontaneous parametric down-conversion and by selecting the appropriate spatial profile of the pump laser radiation. We show that one can translate spatial features imprinted in the pump beam into desired spectral profiles of the gener...

We describe theoretical and experimental demonstration for optical detection of ultrasound using a spectral hole engraved in cryogenically cooled rare-earth ion-doped solids. Our method utilizes the dispersion effects due to the spectral hole to perform phase-to-amplitude modulation conversion. Like previous approaches using spectral holes, it has the advantage of detection with large étendue. ...

land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. decreasing of forest area in the north of iran is one of the critical problems in recent years. the aims of this study are to detect land use changes between 1967 to 2002 using satellite images of land sat 7 etm+ (2002), aerial photos and digital topo...

In spectral conversion of statistical voice conversion (VC), distance-based measures between the converted and target spectral parameters are often used as evaluation or training criteria. However, even if the same speaker utters the same sentence, the spectral parameters vary utterance by utterance, and thus, spectral distance between utterances still exists. Moreover, the original prosodic fe...