منابع مشابه
Glottal Closure Instant detection from a glottal shape estimate
The GCI detection is a common problem in voice analysis used for voice transformation and synthesis. The proposed innovative idea is to use a glottal shape estimate and a standard lips radiation model instead of the common pre-emphasis when computing the vocal-tract filter estimate. The time-derivative glottal source is then computed from the division in frequency of the speech spectrum by the ...
متن کاملDetection of glottal opening instants using Hilbert envelope
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...
متن کاملImproving Glottal Waveform Rank-based Glottal Qua
Information on the glottal waveform is an important part of many speech applications. However, glottal waveform estimation remains one of the more inexact sciences of speech processing. The work presented here describes an enhancement to a recently presented algorithm by a new technique involving Rank-Based Glottal Quality Assessment (RB-GQA). The basic premise is to investigate potential measu...
متن کاملRobust glottal closure detection using the wavelet transform
In this work, a time-scale framework for analysis of glottal closure instants is proposed. As glottal closure can be soft or sharp, depending on the type of vocal activity, the analysis method should be able to deal with both wide-band and low-pass signals. Thus, a multi-scale analysis seems well-suited. The analysis is based on a dyadic wavelet filterbank. Then, the amplitude maxima of the wav...
متن کاملClassification-Based Detection of Glottal Closure Instants from Speech Signals
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 taken as candidates for GCI placements. A classification framework is used to train a classification model and to classify whether or not a peak corresponds to the GCI. We show that the detection accuracy in terms of F1 ...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2020
ISSN: 2045-2322
DOI: 10.1038/s41598-020-77216-6