Automatic Evaluation of Hypernasality Based on a Cleft Palate Speech Database.
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 d...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 5; pp. 1 - 8 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925094&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925094 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: May2015 vid: 39 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925094 115925094 115925094 10.1007/s10916-015-0242-2 115925094 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Automatic Evaluation of Hypernasality Based on a Cleft Palate Speech Database. aug: au: He, Ling Zhang, Jing Liu, Qi Yin, Heng Lech, Margaret Huang, Yunzhi affil: School of Electrical Engineering and Information, Sichuan University, Sichuan 610065 China sug: subj: Cleft Palate Complications Speech Evaluation Databases Speech Methods Human Speech Disorders Nose Child Male Female Chinese Persons Research Methodology Child: 6-12 years Male Female ab: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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