Detection of the glottal closure by jumps in the statistical properties of the signal

R. Di Francesco; E. Moulines

Detection of the glottal closure by jumps in the statistical properties of the signal

R. Di Francesco
, E. Moulines

Orange Labs

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

4 Citations (Scopus)

Résumé

Two new methods for the detection of the instant of glottal closur·e directly from the speech waveform are presented here. ~~th detect the abrupt changes in the slwrt-term spectral characterlstzcs of the speech signal wirhin a pitch period caused by glottal events. The same statistical approach of sequential detection of events by hypothesis testing is used for this purpose. The first method is based on the maximization of a likelihood ratio. the second one uses a divergence convexity test. Experiments on real speech demonstrate the improved robustness ofthese methods.

langue originale	Anglais
Pages	2039-2042
Nombre de pages	4
état	Publié - 1 janv. 1989
Modification externe	Oui
Evénement	1st European Conference on Speech Communication and Technology, EUROSPEECH 1989 - Paris, France Durée: 27 sept. 1989 → 29 sept. 1989

Une conférence

Une conférence	1st European Conference on Speech Communication and Technology, EUROSPEECH 1989
Pays/Territoire	France
La ville	Paris
période	27/09/89 → 29/09/89

Contient cette citation

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title = "Detection of the glottal closure by jumps in the statistical properties of the signal",

abstract = "Two new methods for the detection of the instant of glottal closur·e directly from the speech waveform are presented here. \textasciitilde{}\textasciitilde{}th detect the abrupt changes in the slwrt-term spectral characterlstzcs of the speech signal wirhin a pitch period caused by glottal events. The same statistical approach of sequential detection of events by hypothesis testing is used for this purpose. The first method is based on the maximization of a likelihood ratio. the second one uses a divergence convexity test. Experiments on real speech demonstrate the improved robustness ofthese methods.",

author = "\{Di Francesco\}, R. and E. Moulines",

note = "Publisher Copyright: {\textcopyright} 1st European Conference on Speech Communication and Technology, EUROSPEECH 1989.; 1st European Conference on Speech Communication and Technology, EUROSPEECH 1989 ; Conference date: 27-09-1989 Through 29-09-1989",

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T1 - Detection of the glottal closure by jumps in the statistical properties of the signal

AU - Di Francesco, R.

AU - Moulines, E.

PY - 1989/1/1

Y1 - 1989/1/1

N2 - Two new methods for the detection of the instant of glottal closur·e directly from the speech waveform are presented here. ~~th detect the abrupt changes in the slwrt-term spectral characterlstzcs of the speech signal wirhin a pitch period caused by glottal events. The same statistical approach of sequential detection of events by hypothesis testing is used for this purpose. The first method is based on the maximization of a likelihood ratio. the second one uses a divergence convexity test. Experiments on real speech demonstrate the improved robustness ofthese methods.

AB - Two new methods for the detection of the instant of glottal closur·e directly from the speech waveform are presented here. ~~th detect the abrupt changes in the slwrt-term spectral characterlstzcs of the speech signal wirhin a pitch period caused by glottal events. The same statistical approach of sequential detection of events by hypothesis testing is used for this purpose. The first method is based on the maximization of a likelihood ratio. the second one uses a divergence convexity test. Experiments on real speech demonstrate the improved robustness ofthese methods.

M3 - Paper

AN - SCOPUS:85019573495

SP - 2039

EP - 2042

T2 - 1st European Conference on Speech Communication and Technology, EUROSPEECH 1989

Y2 - 27 September 1989 through 29 September 1989

ER -

Detection of the glottal closure by jumps in the statistical properties of the signal

Résumé

Une conférence

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