Computer Science ›› 2020, Vol. 47 ›› Issue (1): 144-152.doi: 10.11896/jsjkx.180701349

Special Issue: Medical Imaging

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Automatic Detection Algorithm of Pharyngeal Fricative in Cleft Palate Speech Based on Multi-delay Fourth-order Cumulant Octave Spectral Line

HE Fei1,MENG Yu-xuan1,TIAN Wei-wei1,WANG Xi-yue1,HE Ling1,YIN Heng2   

  1. (School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China)1;
    (State Key Laboratory of Oral Diseases,Chengdu 610041,China)2
  • Received:2018-07-21 Published:2020-01-19
  • About author:HE Fei,born in 1998,postgraduate.Her main research interests include speech signal processing and image processing;YIN Heng,born in 1971,master.Her main research interests include evaluation of cleft palate speech.
  • Supported by:
    This work was supported by the Young Scientists Fund of the National Natural Science Foundation of China (61503264).

Abstract: In order to realize the automatic classification and detection of palate pharyngeal fricative and normal speech, an automatic pharyngeal fricative detection algorithm based on multi-delay fourth-order cumulant one-third octave spectral line (FTSL) was proposed by studying the pronunciation characteristics of cleft palate patients with pharyngeal fricative.Currently,most researches involved with the detection of pharyngeal fricatives are based on the length of consonants and the energy distribution of speech in frequency-domain.There exist few researches which have achieved automatic classification of pharyngeal fricatives and normal speech.This experiment is based on the pronunciation characteristics of pharyngeal fricative.Each frame’s multi-delay fourth-ordercumulant is computed,and then one-third octave is used to extract the FTSL.Automatic classification of pharyngeal fricative and normal speech is realized by FTSL.In this experiment,the FTSL of 200 normal consonants and 194 consonants of pharyngeal fricative are extracted,and the SVM classifier is used to classify.Besides,comparative experiments were conducted on FTSL feature and traditional acoustic features,and the results were fully analyzed and discussed in this paper.The experimental results show that the proposed FTSL has an accurate rate of 92.7% for the automatic classification of pharyngeal speeches,and it has excellent performance and can provide an effective,objective and non-invasive auxiliary basis for clinical pharyngeal state assessment.

Key words: Fourth-order cumulant, FTSL spectral line, One-third octave spectral line, Pharyngeal fricative

CLC Number: 

  • TP391.9
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