Mainstream statistical methodology is generally applicable to data observed in Euclidean
space. There are, however, numerous contexts of considerable scientific interest in which …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Vocoders received renewed attention recently as basic components in speech synthesis
applications such as voice transformation, voice conversion and statistical parametric …

In conventional single-channel speech enhancement, typically the noisy spectral amplitude
is modified while the noisy phase is used to reconstruct the enhanced signal. Several recent …

In this paper, in order to improve both the performance and the efficiency of the conventional
Gaussian Mixture Models (GMMs), generalized GMMs are firstly introduced by integrating …

Feature-based vocoders, eg, STRAIGHT, offer a way to manipulate the perceived
characteristics of the speech signal in speech transformation and synthesis. For the …

In this paper, we propose a method for separation of moving sound sources. The method is
based on first tracking the sources and then estimation of source spectrograms using …

In this paper, we present an overview on the previous and recent methods proposed to
estimate a clean spectral phase from a noisy observation in the context of single-channel …

Conventional speech enhancement methods typically utilize the noisy phase spectrum for
signal reconstruction. This letter presents a novel method to estimate the clean speech …

In many speech processing applications, the spectral amplitude is the dominant information
while the use of phase spectrum is not so widely spread. In this paper, we present an …