ArticlePLoS computational biology2019
The FACTS model of speech motor control: Fusing state estimation and task-based control.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 101 citations in OpenAlex.
- Using the DIVA model to better understand speech motor disorders.Clinical linguistics & phonetics · 2026Article
- Modeling framework disentangles cerebellar mechanisms in speech feedback control, revealing trade-offs reshaped by degeneration.bioRxiv : the preprint server for biology · 2026Article
- Auditory-Motor Mechanisms of the Lombard Effect.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Sensorimotor dynamics of target acquisition and homing in human echolocation.bioRxiv : the preprint server for biology · 2026Article
- Relationships Among Auditory Discrimination, Adaptive Vocal Learning, and Perilaryngeal Muscle Activation in People With and Without Hyperfunctional Voice Disorders.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Audiomotor prediction errors drive speech adaptation even in the absence of overt movement.PLoS biology · 2026Article
- Active inference and speech motor control.Psychonomic bulletin & review · 2026Review
- Working Memory Modulates Auditory Perceptual Sensitivity During Speech Planning.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Perceptual prediction error supports implicit process in motor learning.PLoS computational biology · 2026Article
- Practice Parameters That Influence Vocal Motor Adaptation in Altered Auditory Feedback Paradigms.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Speech motor control is not sequestered from general auditory processes.Journal of experimental psychology. General · 2026Article
- Disorders of the Basal Ganglia and Cerebellum: A Comprehensive Review of Speech Sensorimotor Symptoms and Responses to Feedback Perturbations.Neurobiology of language (Cambridge, Mass.) · 2026Review
- Formant variability is related to vowel duration across speakers.JASA express letters · 2025Article
- Neurophysiological Evidence of Sensory Prediction Errors Driving Speech Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Discovering Dynamical Laws for Speech Gestures.Cognitive science · 2025Article
- Theta-burst stimulation over primary somatosensory cortex modulates the tactile acuity of the tongue.Journal of neurophysiology · 2025Article
- Sensorimotor learning during synchronous speech is modulated by the acoustics of the other voice.Psychonomic bulletin & review · 2025Article
- Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia.PLoS computational biology · 2024Article
- Theta-burst stimulation over primary somatosensory cortex modulates tactile acuity of tongue.bioRxiv : the preprint server for biology · 2024Article
- Test-Retest Reliability of Behavioral Assays of Feedforward and Feedback Auditory-Motor Control of Voice and Articulation.Journal of speech, language, and hearing research : JSLHR · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
We present a new computational model of speech motor control: the Feedback-Aware Control of Tasks in Speech or FACTS model. FACTS employs a hierarchical state feedback control architecture to control simulated vocal tract and produce intelligible speech. The model includes higher-level control of speech tasks and lower-level control of speech articulators. The task controller is modeled as a dynamical system governing the creation of desired constrictions in the vocal tract, after Task Dynamics. Both the task and articulatory controllers rely on an internal estimate of the current state of the vocal tract to generate motor commands. This estimate is derived, based on efference copy of applied controls, from a forward model that predicts both the next vocal tract state as well as expected auditory and somatosensory feedback. A comparison between predicted feedback and actual feedback is then used to update the internal state prediction. FACTS is able to qualitatively replicate many characteristics of the human speech system: the model is robust to noise in both the sensory and motor pathways, is relatively unaffected by a loss of auditory feedback but is more significantly impacted by the loss of somatosensory feedback, and responds appropriately to externally-imposed alterations of auditory and somatosensory feedback. The model also replicates previously hypothesized trade-offs between reliance on auditory and somatosensory feedback and shows for the first time how this relationship may be mediated by acuity in each sensory domain. These results have important implications for our understanding of the speech motor control system in humans.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.