The aim of the present work is to perform a step towards more natural pitch shifting techniques in singing voice for its application in music production and entertainment systems. In this paper, we present an advanced method to achieve natural modifications when applying a pitch shifting process to singing voice by modifying the spectral envelope of the audio excerpt. To this end, an all-pole m...

MFCC is widely used together with its delta and delta-delta features in the field of speech recognition based on HMM. MFCC is designed to apply DCT to the MF output. We propose in this paper to employ KL transformation instead of DCT, because it can reflect the statistics of speech data more precisely. MFCC is the compressed feature of the log MF so that some detailed features seem to be lost. ...

Detecting a small number of outliers from a set of data observations is always challenging. In this paper, we present an approach that exploits space transformation and uses spectral analysis in the newly transformed space for outlier detection. Unlike most existing techniques in the literature which rely on notions of distances or densities, this approach introduces a novel concept based on lo...

We propose a new algorithm for linear transformation of BDD, by using of Walsh Hadamard coefficients of the represented function. This approach is based on the property that each spectral coefficient represents the measure of correlation between the function and the corresponding EXOR sum of variables. The proposed algorithm is applicable to large examples, and in many cases leads to substantia...

Aims of voice transformation are to change styles of given utterances. Most voice transformation methods process speech signals in a time-frequency domain. In the time domain, when processing spectral information, conventional methods do not consider relations between neighboring frames. If unexpected modifications happen, there are discontinuities between frames, which lead to the degradation ...

We develop singular Weyl–Titchmarsh–Kodaira theory for Jacobi operators. In particular, we establish existence of a spectral transformation as well as local Borg–Marchenko and Hochstadt–Liebermann type uniqueness results.

This paper describes recent improvements to our singing voice synthesizer based on concatenation and transformation of audio samples using spectral models. Improvements include firstly robust automation of previous singer database creation process, a lengthy and tedious task which involved recording scripts generation, studio sessions, audio editing, spectral analysis, and phonetic based segmen...

The technique of Darboux transformation is applied to nonlocal partner of two–dimensional periodic A n−1 Toda lattice. This system is shown to admit a representation as the compatibility conditions of direct and dual overdetermined linear systems with quantized spectral parameter. The generalization of the Darboux transformation technique on linear equations of such a kind is given. The solutio...

Pitch shifting in speech is presented based on the use of the phase vocoder in combination with spectral whitening and envelope reconstruction, applied respectively before and after the transformation. A band preservation technique is introduced to contain quality degradation when downscaling the pitch. The transposition ratio is fixed in advance by selecting analysis and synthesis window sizes...

Gaining time, resolution and sensitivity at the same time: covariance processing of two-dimensional NMR spectra of microcrystalline proteins improves spectral quality over conventional Fourier transformation despite a significant reduction of the experimental time.