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A Dynamical Approach to Gestural Patterning in Speech Production
Abstract
In this article, we attempt to reconcile the linguistic hypothesis that speech involves an underlying sequencing of abstract, discrete, context-independent units, with the empirical observation of continuous, context-dependent interleaving of articulatory movements. To this end, we first review a previously proposed task-dynamic model for the coordination and control of the speech articulators. We then describe an extension of this model in which invariant speech units (gestural primitives) are identified with context-independent sets of parameters in a dynamical system having two functionally distinct but interacting levels. The intergestural level is defined according to a set of activation coordinates; the interarticulator level is defined according to both model articulator and tractvariable coordinates. In the framework of this extended model, coproduction effects in speech are described in terms of the blending dynamics defined among a set of temporally overlapping active units; the relative timing of speech gestures is formulated in terms of the serial dynamics that shape the temporal patterning of onsets and offsets in unit activations. Implications of this approach for certain phonological issues are discussed, and a range of relevant experimental data on speech and limb motor control is reviewed.
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“Many studies suggest instead that speech targets are defined in both auditory and articulatory terms (for arguments on auditory targets see e.g., Perkell et al., 1997 or Guenther et al., 2006; for arguments on articulatory, i.e., somatosensory, targets, see Saltzman and Munhall, 1989, Browman and Goldstein, 1989 or Tremblay et al., 2003; for arguments on auditory-somatosensory targets, see e.g., L”
From The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework (2019) · cites this paper as Saltzman and Munhall, 1989
Citations
Cites
Learning Internal Representations by Error Propagation
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985) · doi:10.21236/ada164453 · Cited by 16,501
Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
Guckenheimer, J., & Holmes, P. (1983) · Applied Mathematical Sciences · doi:10.1007/978-1-4612-1140-2 · Cited by 16,144
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
Chomsky, N., & Halle, M. (1968) · Cited by 5,162
The Geometry of Biological Time
Winfree, A. T. (1980) · doi:10.1007/978-3-662-22492-2 · Cited by 3,613
Learning internal representations by error propagation
RUMELHART, D. E., HINTON, G. E., & WILLIAMS, R. J. (1988) · Readings in Cognitive Science · doi:10.1016/b978-1-4832-1446-7.50035-2 · Cited by 3,002
A Cross-Language Study of Voicing in Initial Stops: Acoustical Measurements
Lisker, L., & Abramson, A. S. (1964) · WORD · doi:10.1080/00437956.1964.11659830 · Cited by 2,602
A theoretical model of phase transitions in human hand movements.
Haken, H., Kelso, J. A. S., & Bunz, H. (1985) · Biological Cybernetics · doi:10.1007/bf00336922 · Cited by 2,328
Computing with Neural Circuits: A Model
Hopfield, J. J., & Tank, D. W. (1986) · Science · doi:10.1126/science.3755256 · Cited by 2,118
Connectionist Models and Their Properties
Feldman, J. A., & Ballard, D. H. (1982) · Cognitive Science · doi:10.1207/s15516709cog0603_1 · Cited by 1,477
Research works printed but not linked: 22
- 10.1016/S0364-0213(82)80001-3 · DOI
- Fowler C. A., 1983, Journal of Experimental Psychology: Human Perception and Performance, 1, 386, 10.1037/0096-3445.112.3.386 · DOI
- Grossberg S., 1986, EP Computers, 18, 601
- Hardcastle, W. J. (1981). Experimental studies in lingual coarticulation. In R. E. Asher & E. J. A. Henderson (Eds.), Towards a history of phonetics (pp. 50-66). Edinburgh, Scotland: Edinburgh liniversity Press.
- Harris, K. S. (1984). Coarticulation as a component of articulatory descriptions. In R. G. Daniloff (Ed.), Articulation assessment and treatment issues (pp. 147-167). San D q o , CA: College Hill Press.
- Jordan, 1. 1. (1985). The learning of representations for sequential performance. Unpublished doctoral dissertation, University of California. San Diego.
- Kay, B. A. (1986). Dynamic modeling of rhythmic limb mwements: Converging on a description of the component oscillators. Unpublished doctoral dissertation, University of Connecticut, Storrs.
- 10.1037//0096-1523.13.2.178 · DOI
- Keating P. A., 1985, UCLA Working Papers in Phonetics, 62, 1
- 10.1037//0096-1523.10.6.812 · DOI
- Kugler, P. N., Kelso, J. A. S. & Turvey, M. T. (1982). O n the control and coordination of naturally developing systems. In J. A. S. Kelso & J. E. Clark (Eds.), The development ofmwement control and coordination (pp. 5-78). Chichester, England: Wiley.
- Lapedes, A, & Farber, R. (1986). Programming a massively parallel, computation universal system: Static behavior (Preprint No. LA-UR 86-7179). Los Alamos, NM: Los Alamos National Laboratory.
- Munhall K., 1987, PAW Review, 2, 13
- Perkell, J. S. (1969). Physioloa of speech production: Results and implications of a quantitative cineradiographic study. Cambridge, MA: MIT Press.
- Saltzman E. L., 1986, Series, 15, 129
- 10.1037//0033-295X.94.1.84 · DOI
- Scholz, J. P. (1986). A nonequilibrium phase transition in human bimanual mouement: Test ofa dynamlcal model. Unpublished doctoral dissertation, University of Connecticut, Storrs.
- Stetson, R. H. (1951). Motor phonetics: A study of speech movements in action. Amsterdam: North-Holland. Reprinted in J. A. S. Kelso & K. G . Munhall (Eds.). (1988). R. H. Stetson's motor phonetics: A retrospective edition. Boston: College-Hill.
- Stornetta, W. S., Hogg, T. & Huberman, B. A. (1988). A dynamical approach to temporal information processing. In D. Z. Anderson (Ed.), Neural informatton processing systems. New York: American Institute of Physics.
- Turvey, M. T. (1977). Preliminaries to a theory of action with reference to vision.In R. Shaw 6.1. Bransford (Eds.), Perceiving, acting, and knowing: Toward an ecological psychology (pp.211-265). Hillsdale, N]: Lawrence Erlbaum Associates, lnc.
- von Holst, E. (1973). The behavioral physiology ofanimal and man: The collected papers ofErich von Holst (Vol. 1; R. Martin, Trans.). London: Methuen.
- Yoshioka H., 1982, Annual Bulletin of the Research Institute of Logopedics and Phoniatrics, 16, 27
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THE ORGANIZATION OF SPEECH MOVEMENTS: SPECIFICATION OF UNITS AND MODES OF CONTROL
Lindblom, B. E. F. (2004) · Cited by 4
Metadata
- Authors
- Saltzman, E. L., & Munhall, K. G.
- Venue
- Ecological Psychology
- Publisher
- Informa UK Limited
- Published
- 1989-12
- Volume
- 1
- Issue
- 4
- Pages
- 333-382
- ISSN
- 1040-7413 (ISSN-L)
- 1532-6969
- OpenAlex
- W2048449762
- Cited by
- 946
- References
- 111
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 97 · 2023: 59 · 2022: 28 · 2021: 33 · 2020: 26 · 2019: 45 · 2018: 24 · 2017: 20 · 2016: 32 · 2015: 28 · 2014: 34 · 2013: 49 · 2012: 29
- FWCI
- 13.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecological Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Keywords
- speech production, articulatory coordination, co-production, phonological theory
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