Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Automatic rating of hoarseness by text-based cepstral and prosodic evaluation

Haderlein, T., Moers, C., Möbius, B., & Nöth, E. (2012). Automatic rating of hoarseness by text-based cepstral and prosodic evaluation. In P. Sojka, A. Horák, I. Kopecek, & K. Pala (Eds.), Proceedings of the 15th International Conference on Text, Speech and Dialogue (TSD 2012) (pp. 573-580). Heidelberg: Springer.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Haderlein_Moers_2012.pdf (Verlagsversion), 156KB
Name:
Haderlein_Moers_2012.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Haderlein, Tino1, 2, Autor
Moers, Cornelia3, 4, 5, Autor           
Möbius, Bernd6, Autor
Nöth, Elmar1, Autor
Affiliations:
1University of Erlangen-Nuremberg, Pattern Recognition Lab (Informatik 5), Erlangen, Germany, ou_persistent22              
2University of Erlangen-Nuremberg, Department of Phoniatrics and Pedaudiology, Erlangen, Germany, ou_persistent22              
3International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
4Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792545              
5University of Bonn, Department of Speech and Communication,Bonn, Germany, ou_persistent22              
6Saarland University, Department of Computational Linguistics and Phonetics, Saarbrücken, Germany, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: The standard for the analysis of distorted voices is perceptual rating of read-out texts or spontaneous speech. Automatic voice evaluation, however, is usually done on stable sections of sustained vowels. In this paper, text-based and established vowel-based analysis are compared with respect to their ability to measure hoarseness and its subclasses. 73 hoarse patients (48.3±16.8 years) uttered the vowel /e/ and read the German version of the text “The North Wind and the Sun”. Five speech therapists and physicians rated roughness, breathiness, and hoarseness according to the German RBH evaluation scheme. The best human-machine correlations were obtained for measures based on the Cepstral Peak Prominence (CPP; up to |r | = 0.73). Support Vector Regression (SVR) on CPP-based measures and prosodic features improved the results further to r ≈0.8 and confirmed that automatic voice evaluation should be performed on a text recording.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2012
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1007/978-3-642-32790-2_70
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: the 15th International Conference on Text, Speech and Dialogue (TSD 2012)
Veranstaltungsort: Brno, Czech Republic
Start-/Enddatum: 2012-09-03 - 2012-09-07

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Proceedings of the 15th International Conference on Text, Speech and Dialogue (TSD 2012)
Genre der Quelle: Konferenzband
 Urheber:
Sojka, Petr, Herausgeber
Horák , Aleš, Herausgeber
Kopecek , Ivan, Herausgeber
Pala, Karel, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Heidelberg : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 573 - 580 Identifikator: -

Quelle 2

einblenden:
ausblenden:
Titel: Lecture Notes in Computer Science
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 7499 Artikelnummer: - Start- / Endseite: - Identifikator: -