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Automatic identification of hypernasality in normal and cleft lip and palate patients with acoustic analysis of speech.
- Source :
-
The Journal of the Acoustical Society of America [J Acoust Soc Am] 2017 Feb; Vol. 141 (2), pp. 929. - Publication Year :
- 2017
-
Abstract
- Hypernasality is seen in cleft lip and palate patients who had undergone repair surgery as a consequence of velopharyngeal insufficiency. Hypernasality has been studied by evaluation of perturbation, noise measures, and cepstral analysis of speech. In this study, feature extraction and analysis were performed during running speech using six different sentences. Jitter, shimmer, Mel frequency cepstral coefficients, bionic wavelet transform entropy, and bionic wavelet transform energy were calculated. Support vector machines were employed for classification of data to normal or hypernasal. Finally, results of the automatic classification were compared with true labels to find accuracy, sensitivity, and specificity. Accuracy was higher when Mel frequency cepstral coefficients were combined with bionic wavelet transform energy feature. In the best case, accuracy of 85% with sensitivity of 82% and specificity of 85% was obtained. Results prove that acoustic analysis is a reliable method to find hypernasality in cleft lip and palate patients.
- Subjects :
- Adolescent
Adult
Automation
Case-Control Studies
Child
Child, Preschool
Cleft Lip diagnosis
Cleft Lip surgery
Cleft Palate diagnosis
Cleft Palate surgery
Female
Fourier Analysis
Humans
Male
Sound Spectrography
Support Vector Machine
Velopharyngeal Insufficiency diagnosis
Velopharyngeal Insufficiency surgery
Wavelet Analysis
Young Adult
Acoustics
Cleft Lip physiopathology
Cleft Palate physiopathology
Speech Acoustics
Speech Production Measurement methods
Velopharyngeal Insufficiency physiopathology
Voice Quality
Subjects
Details
- Language :
- English
- ISSN :
- 1520-8524
- Volume :
- 141
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- The Journal of the Acoustical Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 28253654
- Full Text :
- https://doi.org/10.1121/1.4976056