A new voice conversion algorithm that modifies a source speaker's speech to sound as if produced by a target speaker is presented. It is applied to a residualexcited LPC text-to-speech diphone synthesizer. Spectral parameters are mapped using a locally linear transformation based on Gaussian mixture models whose parameters are trained by joint density estimation. The LPC residuals are adjusted ...

Electromagnetic waves are ideal candidates for transmitting information in a quantum network as they can be routed rapidly and efficiently between locations using optical fibres or microwave cables. Yet linking quantum-enabled devices with cables has proved difficult because most cavity or circuit quantum electrodynamics systems used in quantum information processing can only absorb and emit si...

High-gain parametric down-conversion (PDC) is a source of bright squeezed vacuum, which is a macroscopic nonclassical state of light and a promising candidate for quantum information applications. Here we study its properties, such as the intensity spectral width and the spectral width of pairwise correlations. In agreement with the theory, we observe an increase in the spectral width by 27% co...

This paper proposes a new mapping method combining GMM and codebook mapping methods to transform spectral envelope for voice conversion system. After analyzing overly smoothing problem of GMM mapping method in detail, we propose to convert the basic spectral envelope by GMM method and convert envelope-subtracted spectral details by GMM and phone-tied codebook mapping method. Objective evaluatio...

This paper describes a novel exemplar-based spectral conversion (SC) system developed by the AST (Academia Sinica, Taipei) team for the 2016 voice conversion challenge (vcc2016). The key feature of our system is that it integrates the locally linear embedding (LLE) algorithm, a manifold learning algorithm that has been successfully applied for the super-resolution task in image processing, with...

Photon pairs with a high degree of spectral entanglement have a very large capacity for carrying information. We describe methods for generating this type of entanglement and discuss applications. ! 2009 Optical Society of America OCIS codes: (270.5585) Quantum information and processing; (270.5565) Quantum communications. Spontaneous parametric down-conversion (SPDC) has proven to be a reliabl...

Studies show that professional singing matches well the associated melody and typically exhibits spectra different from speech in resonance tuning and singing formant. Therefore, one of the important topics in speech-to-singing conversion is to characterize the spectral transformation between speech and singing. This paper extends two types of spectral transformation techniques, namely voice co...

A basic idea for embedding the spectral pallet in RGB pixels is proposed. A tri−color image is converted into the spectral image, whose pixel is replaced by the spectral reflectance having the closest colorimetric value to that of pixel by looking up the spectral color pallets. SVD representation was very useful for the spectral image compression. We applied SVD for rearranged 36 pixels x36 spe...

In this paper, several experiments on F0 transformation within the voice conversion framework are presented. The conversion system is based on a probabilistic transformation of line spectral frequencies and residual prediction. Three probabilistic methods of instantaneous F0 transformation are described and compared. Moreover, a new modification of inter-speaker residual prediction is proposed ...