In this paper, a glottal event synchronous sinusoidal model is proposed. A glottal event corresponds to the glottal closure instant (GCI), which is accurately estimated using group delay and fixed point analysis in the time domain using energy centroids. The GCI synchronous sinusoidal model allows adequate processing according to the inherent local properties of speech, resulting in phase match...

The study focuses on the relationship between preaspiration and glottalisation in Manchester English. Analyses of five speakers aged 20-22 years indicate there is a prosodically conditioned complementary distribution: pre-aspiration is found word-medially (batter [patəә]), while glottalisation occurs wordfinally (bat [pat]) in plosive contexts. In fricative contexts (e.g. mass), analysed for th...

We propose a glottal source estimation method robust to shimmer and jitter in the glottal flow. The proposed estimation method is based on a joint source-filter optimization technique. The glottal source is modeled by the Liljencrants–Fant (LF) model and the vocaltract filter is modeled by an auto-regressive filter, which is common in the source-filter approach to speech production. The optimiz...

Contributions are made along two main lines. Firstly a method is proposed for using a regression model to learn relationships within the scores of a machine learning classifier, which can then be applied to future classifier output for the purpose of improving recognition accuracy. The method is termed r-norm and strong empirical results are obtained from its application to several text-indepen...

This paper presents new speech analysis method based on a Glottal-ARMAX (Auto Regressive and Moving Average eXogenous) model with phase compensation. A Glottal-ARMAX model consists of two kinds of inputs: glottal source model excitation and a white gauss input, and a vocal tract ARMAX model. The proposed method can simultaneously estimate the glottal source model and vocal tract ARMAX model par...

The objective of this work is to develop an automatic method for estimating glottal opening instants (GOIs) using Hilbert envelope (HE). The GOIs are secondary major excitations after glottal closure instants (GCIs) during the production of voiced speech. The HE is defined as the magnitude of complex time function (CTF) of a given signal. The unipolar property of HE is exploited for picking the...

We present here a new method for the simultaneous estimation of the derivative glottal waveform and the vocal tract filter. The algorithm is pitch-synchronous and uses overlapping frames of several glottal cycles to increase the robustness and quality of the estimation. Two parametric models for the glottal waveform are used: the KLGLOTT88 during the convex optimization iteration, and the LF mo...

Previous research has suggested that the peaks in the first derivative (dEGG) of the electroglottographic (EGG) signal are good approximate indicators of the events of glottal opening and closing. These findings were based on high-speed video (HSV) recordings with frame rates 10 times lower than the sampling frequencies of the corresponding EGG data. The present study attempts to corroborate th...

The technique presented here uses an impedance head to measure the input impedance spectrum of a physical model of a vocal tract, and then to inject a known glottal flow waveform into the tract. The sound measured outside the mouth is used to evaluate inverse filtering techniques by comparison with the known glottal flow and measured acoustical properties of the tract. The normalized least squa...

We describe a continuous-pitch parametric vocoder suitable for speech coding and statistical text to speech synthesis. The spectral model is based on linear prediction. We show that glottal modelling techniques from recent literature can be cherry-picked to produce an excitation signal with properties known to be useful in the above application areas. We further show that the continuous pitch p...