Analysis of Hypernasal Speech in Children with Cleft Lip and Palate

Authors:
Andreas Maier;Alexander Reuß;Christian Hacker;Maria Schuster;Elmar Nöth
Affiliations:
Lehrstuhl für Mustererkennung (Informatik 5), Universität Erlangen-Nürnberg, Erlangen, Germany 91058 and Abteilung für Phoniatrie und Pädaudiologie, Universität Erlan ...;Lehrstuhl für Mustererkennung (Informatik 5), Universität Erlangen-Nürnberg, Erlangen, Germany 91058;Lehrstuhl für Mustererkennung (Informatik 5), Universität Erlangen-Nürnberg, Erlangen, Germany 91058;Abteilung für Phoniatrie und Pädaudiologie, Universität Erlangen-Nürnberg, Erlangen, Germany 91054;Lehrstuhl für Mustererkennung (Informatik 5), Universität Erlangen-Nürnberg, Erlangen, Germany 91058
Venue:
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Year:
2008

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Abstract

In children with cleft lip and palate speech disorders appear often. One major disorder amongst them is hypernasality. This is the first study which shows that it is possible to automatically detect hypernasality in connected speech without any invasive means. Therefore, we investigated MFCCs and pronunciation features. The pronunciation features are computed from phoneme confusion probabilities. Furthermore, we examine frame level features based on the Teager Energy operator. The classification of hypernasal speech is performed with up to 66.6 % (CL) and 86.9 % (RR) on word level. On frame level rates of 62.3 % (CL) and 90.3 % (RR) are reached.