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 …

Accurate estimation of glottal closing instants (GCIs) and opening instants (GOIs) is
important for speech processing applications that benefit from glottal-synchronous …

This paper proposes a new dysarthric speech classification method from coded telephone
speech using glottal features. The proposed method utilizes glottal features, which are …

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 …

Accurate estimation of glottal closure instants (GCIs) and opening instants (GOIs) is
important for speech processing applications that benefit from glottal-synchronous …

We propose a fast speech analysis method which simultaneously performs high-resolution
voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal …

Objective intelligibility assessment of dysarthric speech can assist clinicians in diagnosis of
speech disorders as well as in medical treatment. This study investigates the use of glottal …

We address the problem of extending the bandwidth of speech signals, which is of
importance to enhance the quality and intelligibility of the telephone speech. The low-pass …

In this paper a classification-based method for the automatic detection of glottal closure
instants (GCIs) from the speech signal is proposed. Peaks in the speech waveforms are …

Most conventional methods to detect glottal closure instants (GCI) are based on signal
processing technologies and different GCI candidate selection methods. This paper …