Glottal Closure Instant Detection from Speech Signal Using Voting Classifier and Recursive Feature Elimination

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952587" target="_blank" >RIV/49777513:23520/18:43952587 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1147.html" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1147.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2018-1147" target="_blank" >10.21437/Interspeech.2018-1147</a>

Result language
angličtina
Original language name
Glottal Closure Instant Detection from Speech Signal Using Voting Classifier and Recursive Feature Elimination
Original language description
In our previous work, we introduced a classification-based method for the automatic detection of glottal closure instants (GCIs) from the speech signal and we showed it was able to perform very well on several test datasets. In this paper, we investigate whether adding more features (voiced/unvoiced, harmonic/noise, spectral etc.) and/or using an ensemble of classifiers such as a voting classifier can further improve GCI detection performance. We show that using additional features leads to a better detection accuracy; best results were obtained when recursive feature elimination was applied on the whole feature set. In addition, a voting classifier is shown to outperform other classifiers and other existing GCI detection algorithms on publicly available databases.
Czech name
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Czech description
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Project
<a href="/en/project/TH02010307" target="_blank" >TH02010307: Automatic voice banking and reconstruction for patients after total laryngectomy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th Annual Conference of the International Speech Communication Association (Interspeech 2018)
ISBN
978-1-5108-7221-9
ISSN
2308-457X
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
2112-2116
Publisher name
Curran Associates, Inc.
Place of publication
Red Hook, NY
Event location
Hyderabad, Indie
Event date
Sep 2, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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