Voice onset time in Swedish children with phonological impairment

Lundeborg, Inger; Nordin, Elin; Zeipel-Stjerna, Marie; McAllister, Anita

doi:10.3109/14015439.2014.934276

Cited by 4 publications

(5 citation statements)

References 22 publications

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“…To the best of our knowledge, VOT was rarely used to study the motor control ability of children with FAD [28][29][30]. Previous studies [21] measured the VOT of the stop consonants /d/ and /t/ produced by subjects with ataxic dysarthria, finding that the patient group reduced categorical distinction between the VOT of voiced stop consonants and unvoiced stop consonants.…”

Section: Discussionmentioning

confidence: 99%

Acoustic Features Associated with Sustained Vowel and Continuous Speech Productions by Chinese Children with Functional Articulation Disorders

Zhang¹,

Gui²,

Wang³

et al. 2018

Interspeech 2018

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Functional articulation disorder (FAD) is a speech disorder commonly found in preschoolers, negatively affecting their day-to-day communication and in the long run their psychological development. Current FAD research mainly focused on the perceptual aspects, but not other means such as acoustic and physiological analyses. The present study aimed to evaluate the different acoustic features associated with sustained vowels and continuous speech produced by children with FAD and their age-matched controls. Speech samples produced by 67 children with FAD and 30 typically developing children were obtained from children's hospital and kindergartens, respectively. Articulatory-acoustic vowel space features, including formant centralization ratio (FCR3), F1 range ratio (F1RR), F2 range ratio (F2RR), and triangular vowel space area (TVSA), were calculated using the first two formant frequencies (F1 & F2) from vowels /a/, /i/, /u/. Voice onset time (VOT) values associated with the stop consonants /b/, /p/, /d/, /t/, /g/ and /k/ were also obtained. Results indicated that children with FAD exhibited articulatory undershooting with reduced range of articulatory movements, as well as poorer control over the release of oral occlusion when producing aspirated or unaspirated stops, when compared with normal counterparts. The findings support the notion that these acoustic features can be used to differentiate misarticulated speech from healthy speech, and could be used to objectively classify and evaluate FAD speech. Index Terms: functional articulation disorder, acoustic feature, formant centralization ratio, formant range ratio, triangular vowel space area, voice onset time * * *

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Section: Discussionmentioning

confidence: 99%

Acoustic Features Associated with Sustained Vowel and Continuous Speech Productions by Chinese Children with Functional Articulation Disorders

Zhang¹,

Gui²,

Wang³

et al. 2018

Interspeech 2018

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“…(1) Stimuli or targets being analyzed Five repetitions of CVC pseudowords (pVb), which sampled corner vowels (e.g., /pib/, /pub/; Iuzzini-Seigel, Hogan, Guarino, et al, 2015) 115 Repetitions of monosyllabic /pa/ (Yu et al, 2014) Five repetitions of 12 CVC target words with plosive consonants in syllable initial position (e.g., pea, bee, tea; Whiteside et al, 2003) Three repetitions of six minimal pairs (e.g., pil-bil, tennis-dennis; Lundeborg et al, 2015) (2) Tasks used to elicit those targets Imitation of recorded speech sample (Iuzzini-Seigel, Hogan, Guarino, et al, 2015) Cued (white circle on monitor) repetition task (Yu et al, 2014) Picture naming (Iuzzini-Seigel, Hogan, Guarino, et al, 2015) In carrier phrase "say ___ now" (Iuzzini-Seigel, Hogan, Guarino, et al, 2015) or "say ___ again" (Whiteside et al, 2003) (3) Conditions in which responses are elicited Quiet room, no time pressure (4) The measures obtained from those responses Duration in milliseconds of VOT measured described in terms of mean, SD median, median difference scores for voiced-voiceless cognates, COV, and skewness (Iuzzini-Seigel, Hogan, Guarino, et al, 2015) Scientific basis…”

Section: Methodsmentioning

confidence: 99%

“…Validity: No Reliability: Intrarater reliability: ICC = .98-.99 (absolute error = 2.0-4.3 ms; Iuzzini-Seigel, Hogan, Guarino, et al, 2015); Cronbach's alpha = .97 (Lundeborg et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…It is defined as the time (in milliseconds) between the release of oral closure for plosive production and the onset of voicing (Lisker & Abramson, 1964) and reflects coarticulatory timing control between laryngeal and supralaryngeal mechanisms in speech production (Auzou et al, 2000;Whiteside et al, 2003). VOT and VOT variability have been investigated in children with SSDs arising from articulation and phonological impairments (Lundeborg, Nordin, Zeipel-Stjerna, & McAllister, 2015), speech motor issues (Yu et al, 2014), and apraxia of speech (AOS;Iuzzini-Seigel, Hogan, Guarino, et al, 2015).…”

Section: Vot Variabilitymentioning

confidence: 99%

“…As such, discrepancies in measurements within and across studies might be expected to some degree (Abramson & Whalen, 2017). However, most studies report outcome measures obtained with high reliability (Iuzzini-Seigel, Hogan, Rong, et al, 2015;Lundeborg et al, 2015; see Table 6).…”

Section: Vot Variabilitymentioning

confidence: 99%

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Assessment of Childhood Apraxia of Speech: A Review/Tutorial of Objective Measurement Techniques

Terband

Namasivayam

Maas

et al. 2019

J Speech Lang Hear Res

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Background: With respect to the clinical criteria for diagnosing childhood apraxia of speech (commonly defined as a disorder of speech motor planning and/or programming), research has made important progress in recent years. Three segmental and suprasegmental speech characteristics-error inconsistency, lengthened and disrupted coarticulation, and inappropriate prosody-have gained wide acceptance in the literature for purposes of participant selection. However, little research has sought to empirically test the diagnostic validity of these features. One major obstacle to such empirical study is the fact that none of these features is stated in operationalized terms. Purpose: This tutorial provides a structured overview of perceptual, acoustic, and articulatory measurement procedures that have been used or could be used to operationalize and assess these 3 core characteristics. Methodological details are reviewed for each procedure, along with a short overview of research results reported in the literature. Conclusion: The 3 types of measurement procedures should be seen as complementary. Some characteristics are better suited to be described at the perceptual level (especially phonemic errors and prosody), others at the acoustic level (especially phonetic distortions, coarticulation, and prosody), and still others at the kinematic level (especially coarticulation, stability, and gestural coordination). The type of data collected determines, to a large extent, the interpretation that can be given regarding the underlying deficit. Comprehensive studies are needed that include more than 1 diagnostic feature and more than 1 type of measurement procedure. F rom a historical perspective, childhood apraxia of speech (CAS) is a controversial clinical entity, with respect to both clinical signs and underlying deficit. In 1981, Guyette and Diedrich had concluded that "…No pathognomonic symptoms or necessary and sufficient conditions were found for the diagnosis…" (p. 44) and critically termed CAS as "a label in search of a population" (p. 39). Despite clinical studies to further characterize CAS (e.g.,

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The automated screening of speech motor development in children based on the sequential motion rate

Cmejla,

Novotny,

Rusz

et al. 2023

Computers in Biology and Medicine

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Voice onset time in Swedish children with phonological impairment

Cited by 4 publications

References 22 publications

Acoustic Features Associated with Sustained Vowel and Continuous Speech Productions by Chinese Children with Functional Articulation Disorders

Acoustic Features Associated with Sustained Vowel and Continuous Speech Productions by Chinese Children with Functional Articulation Disorders

Assessment of Childhood Apraxia of Speech: A Review/Tutorial of Objective Measurement Techniques

The automated screening of speech motor development in children based on the sequential motion rate

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