It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

In this paper, a new method for time–frequency analysis of speech signals is proposed.
Given that the fundamental frequency of voiced speech often undergoes rapid fluctuation …

The Chirp transform is a powerful analysis tool for variable frequency signals such as
speech. The computational load represents the main limitation of its original formulation …

This paper proposes a novel technique for the time-frequency (TF) estimation of a Gaussian
chirplet mixture in a signal. The technique relies on the combination of one and a half-worth …

Non-stationary harmonic signals cannot be accuratelyrepresented by Fourier transform (FT).
Fortunately, severalmethods for representing non-stationary harmonic signalsexist including …

Abstract The Short-Time Fourier Transform is the most popular timefrequency analysis tool
applied in speech processing. This transform delivers fair quality analysis for periodic …

There are several methods of accurate representation of signals with time-varying frequency
components (eg voiced speech). This paper focuses on the Harmonic Transform (HT) and its …