Automatic Detection of Nasal Leak in Cleft Palate Speech Based on an Improved Group Delay Method

DOI

10.2991/cecs-18.2018.65How to use a DOI?

Keywords

cleft palate speech, nasal leak, Gammatone filter, group delay.

Abstract

Cleft palate is a kind of congenital defect, and nasal leak is one of common symptoms in cleft palate speech. The automatic detection of nasal leak in cleft palate speech can provide a certain auxiliary basis for clinical diagnosis. Aiming at the characteristics of nasal leak in cleft palate speech, an improved method based on group delay is proposed. Since group delay parameter can greatly characterize nonlinear signals. Gammatone filter combined with the characteristics of human auditory is used to demodulate speech signal, and group delay parameters are calculated for each frequency band. It is used as features to identify nasal leak in cleft palate speech. The proposed algorithm is tested on 351 speech samples provided by West China Hospital of Stomatology Sichuan University. Compared with the classical group delay method, the accuracy of this improved method is 91.74% for the detection of nasal leak in cleft palate speech.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinyi Liu
AU  - Weiwei Tian
AU  - Heng Yin
AU  - Ling He
PY  - 2018/07
DA  - 2018/07
TI  - Automatic Detection of Nasal Leak in Cleft Palate Speech Based on an Improved Group Delay Method
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 378
EP  - 383
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.65
DO  - 10.2991/cecs-18.2018.65
ID  - Liu2018/07
ER  -