On the assessment of stability and patterning of speech movements.
Speech requires the control of complex movements of orofacial structures to produce dynamic variations in the vocal tract transfer function. The nature of the underlying motor control processes has traditionally been investigated by employing measures of articulatory movements, including movement am...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 43; no. 1; pp. 277 - 287 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
February 2000
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507689253&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507689253 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: February 2000 vid: 43 iid: 1 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 507689253 ppf: 277 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P size: 998KB tig: atl: On the assessment of stability and patterning of speech movements. aug: au: Smith, Anne Johnson, Michael McGillem, Clare D. su: Articulation (Speech) Movement, Psychology of sug: subj: Articulation (Speech) Movement, Psychology of ab: Speech requires the control of complex movements of orofacial structures to produce dynamic variations in the vocal tract transfer function. The nature of the underlying motor control processes has traditionally been investigated by employing measures of articulatory movements, including movement amplitude, velocity, and duration, at selected points in time. An alternative approach, first used in the study of limb motion, is to examine the entire movement trajectory over time. A new approach to speech movement trajectory analysis was introduced in earlier work from this laboratory. In this method, trajectories from multiple movement sequences are time- and amplitude-normalized, and the STI (spatiotemporal index) is computed to capture the degree of convergence of a set of trajectories onto a single, underlying movement template. This research note describes the rationale for this analysis and provides a detailed description of the signal processing involved. Alternative interpolation procedures for time-normalization of kinematic data are also considered. Reprinted by permission of the publisher. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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