The pseudo-periodicity of voiced speech can be exploited in several speech processing
applications. This requires however that the precise locations of the glottal closure instants …

This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …

Speech processing algorithms are often developed demonstrating improvements over the
state-of-the-art, but sometimes at the cost of high complexity. This makes algorithm …

The great majority of current voice technology applications rely on acoustic features, such as
the widely used MFCC or LP parameters, which characterize the vocal tract response …

Epoch is defined as the instant of significant excitation within a pitch period of voiced
speech. Epoch extraction continues to attract the interest of researchers because of its …

Source-tract decomposition (or glottal flow estimation) is one of the basic problems of
speech processing. For this, several techniques have been proposed in the literature …

The modeling of speech production often relies on a source-filter approach. Although
methods parameterizing the filter have nowadays reached a certain maturity, there is still a …

This paper proposes a new parameter, the Maxima Dispersion Quotient (MDQ), for
differentiating breathy to tense voice. Maxima derived following wavelet decomposition are …

Speech generated by parametric synthesizers generally suffers from a typical buzziness,
similar to what was encountered in old LPC-like vocoders. In order to alleviate this problem …

Pitch detection is a fundamental problem in speech processing as F0 is used in a large
number of applications. Recent papers have proposed deep learning for robust pitch …