Automatic evaluation of hypernasality based on a cleft palate speech database.
J Med Syst
; 39(5): 61, 2015 May.
Article
in En
| MEDLINE
| ID: mdl-25814462
ABSTRACT
The hypernasality is one of the most typical characteristics of cleft palate (CP) speech. The evaluation outcome of hypernasality grading decides the necessity of follow-up surgery. Currently, the evaluation of CP speech is carried out by experienced speech therapists. However, the result strongly depends on their clinical experience and subjective judgment. This work aims to propose an automatic evaluation system for hypernasality grading in CP speech. The database tested in this work is collected by the Hospital of Stomatology, Sichuan University, which has the largest number of CP patients in China. Based on the production process of hypernasality, source sound pulse and vocal tract filter features are presented. These features include pitch, the first and second energy amplified frequency bands, cepstrum based features, MFCC, short-time energy in the sub-bands features. These features combined with KNN classier are applied to automatically classify four grades of hypernasality normal, mild, moderate and severe. The experiment results show that the proposed system achieves a good performance. The classification rates for four hypernasality grades reach up to 80.4%. The sensitivity of proposed features to the gender is also discussed.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Speech Disorders
/
Signal Processing, Computer-Assisted
/
Cleft Palate
Limits:
Child
/
Child, preschool
/
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
En
Journal:
J Med Syst
Year:
2015
Type:
Article