Development of a two-stage procedure for the automatic recognition of dysfluencies in the speech of children who stutter: II. ANN recognition of repetitions and prolongations with supplied word segment markers.
This program of work is intended to develop automatic recognition procedures to locate and assess stuttered dysfluencies. This and the preceding article focus on developing and testing recognizers for repetitions and prolongations in stuttered speech. The automatic recognizers classify the speech in...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 40; no. 5; pp. 1085 - 1097 |
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| Autores principales: | , , |
| Formato: | research tables/charts tracings Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Oct1997
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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=107295815&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107295815 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Oct1997 vid: 40 iid: 5 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 107295815 107295815 1998069522 10.1044/jslhr.4005.1085 NLM9328879 107295815 ppf: 1085 ppct: 12 formats: fmt: @attributes: type: T tig: atl: Development of a two-stage procedure for the automatic recognition of dysfluencies in the speech of children who stutter: II. ANN recognition of repetitions and prolongations with supplied word segment markers. aug: au: Howell P Sackin S Glenn K affil: Department of Psychology, University College of London, Gower Street, London WC1E 6BT, England sug: subj: Speech Production Measurement Fluency Disorders Diagnosis Linguistics Child Adolescence Sound Spectrography Time Factors Comparative Studies Algorithms Descriptive Statistics Audiorecording Speech Sample Funding Source Human Child: 6-12 years Adolescent: 13-18 years ab: This program of work is intended to develop automatic recognition procedures to locate and assess stuttered dysfluencies. This and the preceding article focus on developing and testing recognizers for repetitions and prolongations in stuttered speech. The automatic recognizers classify the speech in two stages: In the first the speech is segmented and in the second the segments are categorized. The units segmented are words. The current article describes results for an automatic recognizer intended to classify words as fluent or containing a repetition or prolongation in a text read by children who stutter that contained the three types of words alone. Word segmentations are supplied and the classifier is an artificial neural network (ANN). Classification performance was assessed on material that was not used for training. Correct performance occurred when the ANN placed a word into the some category as the human judge whose material was used to train the ANNs. The best ANN correctly classified 95% of fluent, and 78% of dysfluent words in the test material. pubtype: Academic Journal doctype: research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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