Effect of speaking rate on articulatory dynamics and motor event

Sonoda, Yorinobu

doi:10.1016/s0095-4470(19)30554-6

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…It is common to find data in the literature showing that speakers can increase, keep constant or decrease their articulatory strength when they stress a syllable or speak faster (Gay, Ushijima, Hirose and Cooper, 1974;Kuehn and Moll, 1976;Sonoda, 1987;Guenther, 1995;Marchal and Meynadier, 1996). Figure 6 suggests that the parameter a 1 of the linear model (1) fitted to the second-half transitions tended to be smaller for high speaking rates but did not exhibit any consistent trend for contrastive stress.…”

Section: Discussionmentioning

confidence: 99%

“…It is often presumed that an articulatory movement can approximately be described by a second-order linear model (Sonoda, 1987;Laboissière, Ostry and Perrier, 1995). A corpus with simple articulatory movements was chosen (only a front-back-front tongue movement and a jaw opening-closing may be involved in the production of [iai] and [iεi] stimuli).…”

Section: Introductionmentioning

confidence: 99%

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Effect of speaking rate and contrastive stress on formant dynamics and vowel perception

Pitermann

2000

The Journal of the Acoustical Society of America

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Vowel formants play an important role in speech theories and applications; however, the same formant values measured for the steady-state part of a vowel can correspond to different vowel categories. Experimental evidence indicates that dynamic information can also contribute to vowel characterization. Hence, dynamically modeling formant transitions may lead to quantitatively testable predictions in vowel categorization. Because the articulatory strategy used to manage different speaking rates and contrastive stress may depend on speaker and situation, the parameter values of a dynamic formant model may vary with speaking rate and stress. In most experiments speaking rate is rarely controlled, only two or three rates are tested, and most corpora contain just a few repetitions of each item. As a consequence, the dependence of dynamic models on those factors is difficult to gauge. This article presents a study of 2300 [iai] or [i epsilon i] stimuli produced by two speakers at nine or ten speaking rates in a carrier sentence for two contrastive stress patterns. The corpus was perceptually evaluated by naive listeners. Formant frequencies were measured during the steady-state parts of the stimuli, and the formant transitions were dynamically and kinematically modeled. The results indicate that (1) the corpus was characterized by a contextual assimilation instead of a centralization effect; (2) dynamic or kinematic modeling was equivalent as far as the analysis of the model parameters was concerned; (3) the dependence of the model parameter estimates on speaking rate and stress suggests that the formant transitions were sharper for high speaking rate, but no consistent trend was found for contrastive stress; (4) the formant frequencies measured in the steady-state parts of the vowels were sufficient to explain the perceptual results while the dynamic parameters of the models were not.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of speaking rate and contrastive stress on formant dynamics and vowel perception

Pitermann

2000

The Journal of the Acoustical Society of America

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“…Between the Fast and Slow recordings, participants were instructed to practice repeating BBP-Norm to “reset” to their normal rate and volume before slowing down [40]. We chose these tasks for our analyses because they require relatively large ranges of opening/closing mouth movements and because kinematic variations due to speaking rate/loudness changes have been well characterized in the literature [35, 36, 41, 42].…”

Section: Methodsmentioning

confidence: 99%

Analytical Validation of a Webcam-Based Assessment of Speech Kinematics: Digital Biomarker Evaluation following the V3 Framework

Simmatis¹,

Naeini²,

Jafari³

et al. 2023

Digit Biomark

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Introduction: Kinematic analyses have recently revealed a strong potential to contribute to the assessment of neurological diseases. However, the validation of home-based kinematic assessments using consumer-grade video technology has yet to be performed. In line with best practices for digital biomarker development, we sought to validate webcam-based kinematic assessment against established, laboratory-based recording gold standards. We hypothesized that webcam-based kinematics would possess psychometric properties comparable to those obtained using the laboratory-based gold standards. Methods: We collected data from 21 healthy participants who repeated the phrase “buy Bobby a puppy” (BBP) at four different combinations of speaking rate and volume: Slow, Normal, Loud, and Fast. We recorded these samples twice back-to-back, simultaneously using (1) an electromagnetic articulography (“EMA”; NDI Wave) system, (2) a 3D camera (Intel RealSense), and (3) a 2D webcam for video recording via an in-house developed app. We focused on the extraction of kinematic features in this study, given their demonstrated value in detecting neurological impairments. We specifically extracted measures of speed/acceleration, range of motion (ROM), variability, and symmetry using the movements of the center of the lower lip during these tasks. Using these kinematic features, we derived measures of (1) agreement between recording methods, (2) test-retest reliability of each method, and (3) the validity of webcam recordings to capture expected changes in kinematics as a result of different speech conditions. Results: Kinematics measured using the webcam demonstrated good agreement with both the RealSense and EMA (ICC-A values often ≥0.70). Test-retest reliability, measured using the absolute agreement (2,1) formulation of the intraclass correlation coefficient (i.e., ICC-A), was often “moderate” to “strong” (i.e., ≥0.70) and similar between the webcam and EMA-based kinematic features. Finally, the webcam kinematics were typically as sensitive to differences in speech tasks as EMA and the 3D camera gold standards. Discussion and Conclusions: Our results suggested that webcam recordings display good psychometric properties, comparable to laboratory-based gold standards. This work paves the way for a large-scale clinical validation to continue the development of these promising technologies for the assessment of neurological diseases via home-based methods.

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“…In the spatial domain, several studies have shown greater articulatory displacement at metrically-strong positions (Beckman et al, 1992;Cho, 2005;Erickson & Kawahara, 2016;Keating, Lindblom, Lubker, & Kreiman, 1994;Van Summers, 1987); this effect has been found to be largest in English for low vowels, as opposed to high vowels (Harrington & Palethorpe, 1996). Maximum displacement of articulators is known to vary as a function of speech style and rate-generally, slower speech rate is linked with greater jaw displacement (Linville, 1982;Sonoda, 1987;Mefferd, 2017), possibly as a result of a general link between slowed speech rate and hyperarticulation (Lindblom, 1990). Articulatory displacement of the tongue has also been shown to scale with peak velocity of articulator movement (Kent & Moll, 1972;Kuehn & Moll, 1976;Ostry & Munhall, 1985)-reflecting the level of gestural stiffness in articulationthough this relationship has been shown to be individual-and speech rate-dependent (Gay & Hirose, 1973;McClean & Tasko, 2003).…”

Section: Introductionmentioning

confidence: 99%

How we speak when we speak to a beat: The influence of temporal coupling on phonetic enhancement

Franich

2022

Laboratory Phonology

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Stressed syllables in languages which have them tend to show two interesting properties: They show patterns of phonetic ‘enhancement’ at the articulatory and acoustic levels, and they also show coordinative properties. They typically play a key role in coordinating speech with co-speech gesture, in coordination with a musical beat, and in other sensorimotor synchronization tasks such as speech-coordinated beat tapping and metronome timing. While various phonological theories have considered stress from both of these perspectives, there is as yet no clear explanation as to how these properties relate to one another. The present work tests the hypothesis that aspects of phonetic enhancement may in fact be driven by coordination itself by observing how phonetic patterns produced by speakers of two prosodically-distinct languages—English and Medʉmba (Grassfields Bantu)—vary as a function of timing relations with an imaginary metronome beat. Results indicate that production of syllables in time (versus on the ‘offbeat’) with the imaginary beat led to increased duration and first formant frequency—two widely observed correlates of syllable stress—for speakers of both languages. These results support the idea that some patterns of phonetic enhancement may have their roots in coordinative practices. 

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Effect of speaking rate on articulatory dynamics and motor event

Cited by 7 publications

References 11 publications

Effect of speaking rate and contrastive stress on formant dynamics and vowel perception

Effect of speaking rate and contrastive stress on formant dynamics and vowel perception

Analytical Validation of a Webcam-Based Assessment of Speech Kinematics: Digital Biomarker Evaluation following the V3 Framework

How we speak when we speak to a beat: The influence of temporal coupling on phonetic enhancement

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