Glottal inverse filtering (GIF) refers to methods of estimating the source of voiced speech, the
glottal volume velocity waveform. GIF is based on the idea of inversion, in which the effects …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

This paper gives a general overview of hidden Markov model (HMM)-based speech
synthesis, which has recently been demonstrated to be very effective in synthesizing …

The primary objective of this paper is to provide an overview of existing Concatenative Text-
To-Speech synthesis techniques. Concatenative speech synthesis can be broadly …

In this paper, we evaluate the vulnerability of speaker verification (SV) systems to synthetic
speech. The SV systems are based on either the Gaussian mixture model–universal …

To distinguish pathological voices from healthy voices, automatic voice pathology detection
systems can be built using machine learning (ML) and deep learning (DL) techniques. To …

This study presents a new glottal inverse filtering (GIF) technique based on closed phase
analysis over multiple fundamental periods. The proposed quasi closed phase (QCP) …

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 …

This article explores the potential of the harmonics plus noise model of speech in the
development of a high-quality vocoder applicable in statistical frameworks, particularly in …