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The DIVA model: A neural theory of speech acquisition and production
Open accessAbstract
The DIVA model of speech production provides a computationally and neuroanatomically explicit account of the network of brain regions involved in speech acquisition and production. An overview of the model is provided along with descriptions of the computations performed in the different brain regions represented in the model. The latest version of the model, which contains a new right-lateralised feedback control map in ventral premotor cortex, will be described, and experimental results that motivated this new model component will be discussed. Application of the model to the study and treatment of communication disorders will also be briefly described.
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“These results suggest that inner speech production is associated with a time-locked and content-specific internal forward model, similar to the one that operates in the production of overt speech.”
From Neurophysiological evidence of efference copies to inner speech (2017) · cites this paper as Tourville and Guenther, 2011
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“The lack of convergence in L-IFG is of interest as it is invariably a part of the corollary discharge network according to computational and neuroanatomical models of speech production (Chen et al., 2011; Tourville & Guenther, 2011).”
From Bridging phenomenology and neural mechanisms of inner speech: ALE meta-analysis on egocentricity and spontaneity in a dual-mechanistic framework (2023) · cites this paper as Tourville & Guenther, 2011
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Cited by
Sorted by citations
Items 201–300 of 747
Internally Versus Externally Cued Speech in Parkinson's Disease and Cerebellar Disease
Weir-Mayta, P., Spencer, K. A., Eadie, T. L., Yorkston, K. M., Savaglio, S., & Woollcott, C. (2017) · American Journal of Speech-Language Pathology · doi:10.1044/2017_ajslp-16-0109 · Cited by 18
“In the conversational speech task, additional higher-up processing had to occur prior to speech production, placing a greater demand on resource allocation (Bohland, Bullock, & Guenther, 2010; Tourville & Guenther, 2011; Van der Merwe, 1997).”
BackgroundFinkel, S., Veit, R., Lotze, M., Friberg, A., Vuust, P., Soekadar, S. R., Birbaumer, N., & Kleber, B. (2019) · Human Brain Mapping · doi:10.1002/hbm.24515 · Cited by 18
“…sounds generates somatosensory targets throughout speech motor development, representing proprioceptive and tactile sensations of the simultaneously generated sound (Guenther & Vladusich, 2012; Ito, Coppola, & Ostry, 2016; Skipper, Devlin, & Lametti, 2017; Tremblay, Shiller, & Ostry, 2003).”
BackgroundMethodInfluentialTract profiles of the cerebellar peduncles in children who stutter
Johnson, C. A., Liu, Y., Waller, N., & Chang, S. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02471-4 · Cited by 17
“The cerebellum is another critical hub area of the brain (Akkal et al. 2007; Bostan et al. 2010, 2013; Brodal 1978; Glickstein et al. 1985; Hoover and Strick 1999; Hoshi et al. 2005; Kelly and Strick 2000, 2003; Leichnetz et al. 1984; Middleton and Strick 1994, 2001; Schmahmann and Pandya 1991, 1993, 1997; Snider and…”
Cortico-Cerebellar Monitoring of Speech Sequence Production
Todorović, S., Anton, J., Sein, J., Nazarian, B., Chanoine, V., Rauchbauer, B., Kotz, S. A., & Runnqvist, E. (2023) · Neurobiology of Language · doi:10.1162/nol_a_00113 · Cited by 18
“…goes beyond sensory feedback and speech comprehension and is more in line with proposals linking these regions to auditory and somato-sensory targets and predictive internal modeling-like mechanisms in speech production (e.g., Guenther et al., 2006; Hickok, 2012, 2014; Tourville & Guenther, 2011).”
BackgroundMethodKapsner-Smith, M. R., Abur, D., Eadie, T. L., & Stepp, C. E. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-23-00038 · Cited by 16
“Theories of speech motor control include auditory feedback as crucial for both learning and maintaining such models (Parrell et al., 2019; Perkell et al., 1997; Tourville & Guenther, 2011).”
BackgroundMethodInfluentialvan den Bunt, M. R., Groen, M. A., Ito, T., Francisco, A. A., Gracco, V. L., Pugh, K. R., & Verhoeven, L. T. W. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2016_jslhr-l-16-0201 · Cited by 17
Litt, R. A., Wang, H., Sailah, J., Badcock, N. A., & Castles, A. E. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021818762669 · Cited by 17
“It has been proposed that feedback from speech production to speech perception plays an important role in adjusting phonological representations (e.g., Houde & Nagarajan, 2011; MacDonald, Johnson, Forsythe, Plante, & Munhall, 2012; Tourville & Guenther, 2011; Villacorta, Perkell, & Guenther, 2007).”
Vocomotor and Social Brain Networks Work Together to Express Social Traits in Voices
Guldner, S., Nees, F., & McGettigan, C. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa175 · Cited by 17
Boisgontier, J., Fillon, L., Rutten, C., Saitovitch, A., Dufour, C., Lemaître, H., Beccaria, K., Blauwblomme, T., Levy, R., Dangouloff‐Ros, V., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211031321 · Cited by 16
“The axonal projections between the pre-SMA and the SMA would facilitate the interactions between the basal ganglia, motor, premotor cortex and the SMA to activate the “initiation map” in the SMA starting the pre-articulatory motor program at the appropriate timing.(26) Thus, the GODIVA model provides a relevant framew…”
BackgroundAuditory prediction during speaking and listening
Sato, M., & Shiller, D. M. (2018) · Brain and Language · doi:10.1016/j.bandl.2018.01.008 · Cited by 23
Dysarthria Profiles in Adults With Hereditary Ataxia
Spencer, K. A., & Dawson, M. (2019) · American Journal of Speech-Language Pathology · doi:10.1044/2018_ajslp-msc18-18-0114 · Cited by 17
An in-ear speech database in varying conditions of the audio-phonation loop
Bouserhal, R. E., Bernier, A., & Voix, J. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5091777 · Cited by 16
“The feedforward system allows talkers to anticipate the sensory consequences of their speech production and gets more efficient with experience (Tourville and Guenther, 2011).”
BackgroundSpeech Impairment in Cerebellar Ataxia Affects Naturalness More Than Intelligibility
Hilger, A., Cloud, C., & Fahey, T. (2022) · The Cerebellum · doi:10.1007/s12311-022-01427-y · Cited by 16
“The cerebellum also plays important roles in the feedback control system which monitors speech output through auditory and somatosensory feedback to correct errors [39, 40].”
BackgroundCarey, D., & McGettigan, C. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.06.003 · Cited by 16
Cummine, J., Hanif, W., Dymouriak-Tymashov, I., Anchuri, K., Chiu, S. H., & Boliek, C. A. (2017) · Brain Topography · doi:10.1007/s10548-017-0553-3 · Cited by 16
Jossinger, S., Kronfeld-Duenias, V., Zislis, A., Amir, O., & Ben‐Shachar, M. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02210-7 · Cited by 16
Intellectual awareness of naming abilities in people with chronic post-stroke aphasia
van der Stelt, C. M., Fama, M. E., McCall, J. D., Snider, S. F., & Turkeltaub, P. E. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107961 · Cited by 16
Garnett, E. O., Chow, H. M., Limb, S., Liu, Y., & Chang, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.894676 · Cited by 17
“Importantly, as these systems develop and become established, speech production is achieved primarily through a strong feedforward system, with less of a role of the auditory cortex and feedback control (Bohland and Guenther, 2006; Tourville and Guenther, 2011; Kearney and Guenther, 2019).”
BackgroundDai, G., Chen, M., Chen, X., Guo, Z., Li, T., Jones, J. A., Wu, X., Li, J., Liu, P., Liu, H., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119767 · Cited by 19
“Understanding the causality of this brain-behavior relationship is important, not only allowing the refinement of the neural models of speech motor control (Hickok et al., 2011; Parrell et al., 2019; Tourville and Guenther, 2011) but also providing”
BackgroundResultInfluentialGoal babbling of acoustic-articulatory models with adaptive exploration noise
Philippsen, A. K., Reinhart, F., & Wrede, B. (2016) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2016.7846793 · Cited by 18
“To model this development computationally, a system can be equipped with a vocal tract model.”
MethodWhole-brain dynamics of articulatory, acoustic and semantic speech representations
Verwoert, M., Amigó-Vega, J., Gao, Y., Ottenhoff, M. C., Kubben, P., & Herff, C. (2025) · Communications Biology · doi:10.1038/s42003-025-07862-x · Cited by 18
Rowe, H. P., Gochyyev, P., Lammert, A. C., Lowit, A., Spencer, K. A., Dickerson, B. C., Berry, J. D., & Green, J. R. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02550-0 · Cited by 15
“Indeed, the cerebellum is thought to regulate the timing among movements in a sequence (Spencer and Slocomb 2007; Tourville and Guenther 2011; Guenther 2016), particularly for behaviors that involve explicit temporal goals (Ivry et al.”
BackgroundGrigos, M. I., Case, J., Lu, Y., & Lyu, Z. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-22-00658 · Cited by 15
Transfer of sensorimotor learning reveals phoneme representations in preliterate children
Caudrelier, T., Ménard, L., Perrier, P., Schwartz, J., Gerber, S., Vidou, C., & Rochet‐Capellan, A. (2019) · Cognition · doi:10.1016/j.cognition.2019.05.010 · Cited by 15
Compensation to real-time temporal auditory feedback perturbation depends on syllable position
Oschkinat, M., & Hoole, P. (2020) · The Journal of the Acoustical Society of America · doi:10.1121/10.0001765 · Cited by 16
“In neuroanatomical approaches to modeling speech production, the left hemisphere is suggested to predominately host feedforward specifications, whereas the right hemisphere processes auditory feedback (Tourville and Guenther, 2011).”
BackgroundMethodNeurophysiology of Speech Differences in Childhood Apraxia of Speech
Preston, J. L., Molfese, P. J., Gumkowski, N., Sorcinelli, A., Harwood, V., IRWIN, J. R., & Landi, N. (2014) · Developmental Neuropsychology · doi:10.1080/87565641.2014.939181 · Cited by 15
“Moreover, the differential reliance on feed-forward and feedback mechanisms in CAS could have implications for differential processing in the left and right hemispheres (Tourville & Guenther, 2011).”
BackgroundPlease say what this word is—Vowel-extrinsic normalization in the sensorimotor control of speech.
Bourguignon, N. J., Baum, S. R., & Shiller, D. M. (2016) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000209 · Cited by 18
“…feedback in the fine-tuning of predictive, feed-forward control processes (e.g., the Directions-into-Velocities of Articulators, or DIVA, model, Tourville & Guenther, 2011; or the State Feedback Control, or SFC, model; Houde & Nagarajan, 2011; Houde & Chang, 2015; see also Tian & Poeppel 2010…”
BackgroundExpectancy changes the self-monitoring of voice identity
Johnson, J. F., Belyk, M., Schwartze, M., Pinheiro, A. P., & Kotz, S. A. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15162 · Cited by 15
“…an efference copy of the motor command is sent from motor planning areas to auditory and sensorimotor cortical regions to notify of impending feedback (Hickok, 2012; Hickok et al., 2011; Kearney & Guenther, 2019; Rauschecker, 2011; Rauschecker & Scott, 2009; Tourville & Guenther, 2011).”
BackgroundJossinger, S., Yablonski, M., Amir, O., & Ben‐Shachar, M. (2023) · Neurobiology of Language · doi:10.1162/nol_a_00098 · Cited by 14
“Computational models of speech production hypothesize that the cerebro-cerebellar projections contribute to the feedforward control of speech by mapping between the desired speech sound and its appropriate articulatory gesture (Tourville & Guenther, 2011).”
BackgroundMethodInfluentialLiu, D., Chang, Y., Dai, G., Guo, Z., Jones, J. A., Li, T., Chen, X., Chen, M., Li, J., Wu, X., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120282 · Cited by 15
“, 2011; Hickok and Poeppel, 2007), whereas the DIVA model posits the involvement of bilateral pSTG in auditory feedback control of vocal production (Golfinopoulos et al., 2010; Tourville and Guenther, 2011).”
On the interplay between speech perception and production: insights from research and theories
Arjmandi, M. K., & Behroozmand, R. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1347614 · Cited by 20
“The auditory feedback is incorporated in some computational models of speech acquisition and production (e.g., DIVA and GODVA models) to facilitate the training of the speech production process and simulate fine-grained articulatory movements (Tourville and Guenther, 2013).”
BackgroundMethodSpatiotemporal Mapping of Auditory Onsets during Speech Production
Kurteff, G., Field, A. M., Asghar, S., Tyler‐Kabara, E. C., Clarke, D., Weiner, H. L., Anderson, A. E., Watrous, A. J., Buchanan, R. J., Modur, P. N., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1109-24.2024 · Cited by 13
Monitoring, control and repair in word production
Nozari, N. (2025) · Nature Reviews Psychology · doi:10.1038/s44159-025-00417-1 · Cited by 14
“Within the motor speech tradition, the main model is the ‘direc-tions into velocities of articulators’ (DIVA) model and its later version, ‘gradient order DIVA’ or GODIVA 3,38,39 .”
The Role of Auditory Feedback at Vocalization Onset and Mid-Utterance
Scheerer, N. E., & Jones, J. A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02019 · Cited by 14
“Once the sensorimotor representation has been activated, both the feedback and feedforward systems send motor commands to the primary motor cortex (Tourville and Guenther, 2011; Guenther and Vladusich, 2012).”
BackgroundInfluentialJenson, D., Thornton, D. M., Harkrider, A. W., & Saltuklaroglu, T. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107098 · Cited by 16
Sex Effect on Presurgical Language Mapping in Patients With a Brain Tumor
Yao, S., Liebenthal, E., Juvekar, P., Bunevičius, A., Vera, M., Rigolo, L., Golby, A. J., & Tie, Y. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00004 · Cited by 15
Siemons-Lühring, D. I., Euler, H. Α., Mathmann, P., Boris Suchan, A., & Neumann, K. (2021) · Children · doi:10.3390/children8121190 · Cited by 18
“The IPMSP is an adaptation of models of speech processing from Levelt [43] and Guenther [40,41].”
BackgroundNeuromodulatory Control and Language Recovery in Bilingual Aphasia: An Active Inference Approach
Sajid, N., Friston, K. J., Ekert, J. O., Price, C. J., & Green, D. W. (2020) · Behavioral Sciences · doi:10.3390/bs10100161 · Cited by 15
Effects of Biofeedback on Control and Generalization of Nasalization in Typical Speakers
Murray, E. S. H., Mendoza, J. O., Gill, S. V., Perkell, J. S., & Stepp, C. E. (2016) · Journal of Speech Language and Hearing Research · doi:10.1044/2016_jslhr-s-15-0286 · Cited by 14
The neural basis of word production
Nozari, N. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.013.12 · Cited by 12
“…the framework of a computationally sophisticated and neurally explicit model of motor speech control, DIVA (directions into velocities of articulators; Guenther, 1994, 1995; Tourville & Guenther, 2011), and its more recent version GODIVA (gradient order DIVA; Bohland, Bullock, & Guenther, 2010).”
BackgroundA Phonomotor Approach to Apraxia of Speech Treatment
Bislick, L. (2020) · American Journal of Speech-Language Pathology · doi:10.1044/2020_ajslp-19-00116 · Cited by 13
Temporal specificity of abnormal neural oscillations during phonatory events in laryngeal dystonia
Kothare, H., Schneider, S. L., Mizuiri, D., Hinkley, L., Bhutada, A. S., Ranasinghe, K. G., Honma, S. M., Garrett, C. T., Klein, D., Naunheim, M. L., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac031 · Cited by 11
Castro, C., Prado, P., Espinoza, V. M., Testart, A., Marfull, D., Manríquez, R., Stepp, C. E., Mehta, D. D., Hillman, R. E., & Zañartu, M. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-21-00508 · Cited by 13
“Applying the insights gained through models of speech motor control (Houde & Nagarajan, 2011; Parrell et al., 2019; Tourville & Guenther, 2011) to our results, the persistence of the Lombard effect may reflect an update of the feedforward system for motor control of voice.”
MethodPerrier, P. (2012) · HAL · Cited by 13
Ziegler, W. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801608-4.00001-3 · Cited by 13
Neural Basis of Sensorimotor Plasticity in Speech Motor Adaptation
Darainy, M., Vahdat, S., & Ostry, D. J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy153 · Cited by 13
Shared premotor activity in spoken and written communication
Longcamp, M., Hupé, J., Ruiz, M. J., Vayssière, N., & Sato, M. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.104694 · Cited by 15
Sensorimotor adaptation of speech depends on the direction of auditory feedback alteration
Kothare, H., Raharjo, I., Ramanarayanan, V., Ranasinghe, K. G., Parrell, B., Johnson, K. A., Houde, J. F., & Nagarajan, S. S. (2020) · The Journal of the Acoustical Society of America · doi:10.1121/10.0002876 · Cited by 12
“D. Implications for models of speech production Our results have implications for current models of sensorimotor behaviour in speech production (Houde and Nagarajan, 2011; Tourville and Guenther, 2011; Parrell et al., 2019).”
BackgroundPitch Discrimination Testing in Patients with a Voice Disorder
Nguyên, D. D., Chacon, A. M., Novakovic, D., Hodges, N. J., Carding, P. N., & Madill, C. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11030584 · Cited by 13
“Coordination of laryngeal muscles in phonation depends upon motor planning, muscle activation, and feedback provided by auditory systems [1,3].”
BackgroundLagarrigue, A., Longcamp, M., Anton, J. L., Nazarian, B., Prévot, L., Velay, J., Cao, F., & Frenck-Mestre, C. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.026 · Cited by 13
“Finally, the finding that the medial frontal cortex, at a location corresponding to the supplementary motor area (SMA), responds more strongly to trained than to novel characters, is difficult to interpret in the present context: it is in line with the acknowledged role of this region in motor control of speech produc…”
Changes in brain activity following intensive voice treatment in children with cerebral palsy
Bakhtiari, R., Cummine, J., Reed, A., Fox, C., Chouinard, B., Cribben, I., & Boliek, C. A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23669 · Cited by 14
“This finding supports the role of IFG as the speech sound map in the DIVA model; more specifically, left IFG as the input region for the entire speech–motor–control system, and thus the location for stored speech sound maps [Ghosh et al., 2008; Tourville and Guenther, 2011; Tourville et al., 2008].”
MethodResultCai, X., Yin, Y., & Zhang, Q. (2020) · Applied Psycholinguistics · doi:10.1017/s0142716420000223 · Cited by 13
“Researchers have emphasized a transition from feedback-dominant to feedforward-dominant, driven by production experiences (Guenther, 2006; Guenther & Vladusich, 2012; Liu et al., 2010c; Scheerer et al., 2013).”
BackgroundInfluentialDecoding verbal working memory representations of Chinese characters from Broca's area
Yan, C., Christophel, T. B., Allefeld, C., & Haynes, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117595 · Cited by 13
“Notably, there is evidence which points to some involvement of right-hemispheric analogues of typical language related areas in human speech (Tourville and Guenther, 2011; Zangwill, 1967).”
BackgroundNon-nutritive suck and voice onset time: Examining infant oromotor coordination
Murray, E. S. H., Lewis, J., & Zimmerman, E. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250529 · Cited by 13
“Although the decrease in variability in older children has been associated with improved accuracy of productions [44,46,47], it is unlikely that differences in Fig 3.”
BackgroundOn The Dynamics of Lexical Access In Two or More Languages
Kroll, J. F., Bice, K., Botezatu, M. R., & Zirnstein, M. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.013.26 · Cited by 13
Neural Control of Speaking and Singing: The DIVA Model for SingingPreprint
Zuk, J., Loui, P., & Guenther, F. H. (2022) · doi:10.31234/osf.io/xqtc9 · Cited by 14
Self-citationStructural disconnection of the posterior medial frontal cortex reduces speech error monitoring
McCall, J. D., Dickens, J. V., Mandal, A. S., DeMarco, A. T., Fama, M. E., Lacey, E. H., Kelkar, A. S., Medaglia, J. D., & Turkeltaub, P. E. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102934 · Cited by 12
Investigating the Impact of Visual Input on Voice Production in Virtual Reality
Nudelman, C. J., & Bottalico, P. (2023) · Journal of Voice · doi:10.1016/j.jvoice.2023.07.016 · Cited by 12
Speech-induced suppression and vocal feedback sensitivity in human cortex
Özker, M., Yu, L., Dugan, P. C., Doyle, W., Friedman, D. J., Devinsky, O., & Flinker, A. (2024) · eLife · doi:10.7554/elife.94198 · Cited by 24
“…is a mismatch between the predicted auditory outcome and the actual auditory feedback, responses in the auditory regions are enhanced to encode the mismatch and inform vocal-motor regions to correct vocalization ( Hickok et al., 2011 ; Houde and Nagarajan, 2011 ; Tourville and Guenther, 2011 ).”
InfluentialGrigos, M. I., Case, J., Lu, Y., & Lyu, Z. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-23-00415 · Cited by 12
Gastaldon, S., Bonfiglio, N., Vespignani, F., & Peressotti, F. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1369177 · Cited by 13
Priftis, K., Algeri, L., Barachetti, L., Magnani, S., Gobbo, M., & Pellegrin, S. D. (2020) · Cortex · doi:10.1016/j.cortex.2020.05.019 · Cited by 12
Changes in Spoken and Sung Productions Following Adaptation to Pitch-shifted Auditory Feedback
Alemi, R., Lehmann, A., & Deroche, M. L. D. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2021.02.016 · Cited by 13
Guenther, F. H., Tourville, J. A., & Bohland, J. W. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00265-7 · Cited by 12
Self-citationThe role of auditory feedback in the motor learning of music in experienced and novice performers
Luciani, M. G., Cortelazzo, A., & Proverbio, A. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-24262-x · Cited by 15
Oppenheim, G. M., & Nozari, N. (2024) · Cognition · doi:10.1016/j.cognition.2024.105720 · Cited by 12
“Some of the most influential models of language production, e.g., DIVA and GODIVA (Guenther, 1995; see Tourville & Guenther, 2011, for a review) focus entirely on mapping a phonological form onto motor movements, thus ignoring any earlier (i.e., message-level) operations.”
BackgroundThe Impact of Glottal Configuration on Speech Breathing
Murray, E. S. H., Michener, C. M., Enflo, L., Cler, G. J., & Stepp, C. E. (2017) · Journal of Voice · doi:10.1016/j.jvoice.2017.07.001 · Cited by 12
Faytak, M. (2018) · UC Berkeley Phonology Lab Annual Reports · doi:10.5070/p7141042486 · Cited by 13
Daliri, A., Murray, E. S. H., Blood, A. J., Burns, J. A., Noordzij, J. P., Nieto-Castañón, A., Tourville, J. A., & Guenther, F. H. (2020) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-19-00325 · Cited by 12
“…auditory output is compared to incoming auditory feedback during 90 speech, and mismatches between the desired and actual auditory signals (e.g., formant 91 frequencies, pitch, voice quality) will result in “error signals” in auditory cortex (Guenther, 2006, 92 2016; Tourville & Guenther, 2011).”
BackgroundSelf-citationPhilippsen, A. K. (2021) · Künstliche Intell. · doi:10.1007/s13218-021-00704-y · Cited by 15
Trudeau-Fisette, P., Tiede, M., & Ménard, L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180300 · Cited by 17
Types of motor speech impairments associated with neurologic diseases
Basilakos, A., & Fridriksson, J. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-823384-9.00004-9 · Cited by 13
Sowers, D. J., & Wilkinson, K. M. (2023) · American Journal of Speech-Language Pathology · doi:10.1044/2022_ajslp-22-00006 · Cited by 11
Rowe, H. P., Tourville, J. A., Nieto-Castañón, A., Garnett, E. O., Chow, H. M., Chang, S., & Guenther, F. H. (2024) · Brain and Language · doi:10.1016/j.bandl.2024.105417 · Cited by 11
Self-citationMantegna, F., Orpella, J., & Poeppel, D. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.115137 · Cited by 17
A New Model of Speech Motor Control Based on Task Dynamics and State Feedback
Ramanarayanan, V., Parrell, B., Goldstein, L. M., Nagarajan, S. S., & Houde, J. F. (2016) · Interspeech (USB) · doi:10.21437/interspeech.2016-1499 · Cited by 11
“While we do not here explicitly relate this machine learning process to human learning, such maps could theoretically be learned during early speech acquisition, such as babbling [3].”
BackgroundMethodWhite matter correlates of sensorimotor synchronization in persistent developmental stuttering
Jossinger, S., Sares, A. G., Zislis, A., Sury, D., Gracco, V. L., & Ben‐Shachar, M. (2021) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2021.106169 · Cited by 12
Oschkinat, M., & Hoole, P. (2022) · Journal of Phonetics · doi:10.1016/j.wocn.2022.101133 · Cited by 11
Speakers are able to categorize vowels based on tongue somatosensation
Patri, J.-F., Ostry, D. J., Diard, J., Schwartz, J., Trudeau-Fisette, P., Savariaux, C., & Perrier, P. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911142117 · Cited by 12
“While the propagation of sounds is the means through which linguistic information passes between speakers and listeners, most recent models of speech motor control [DIVA (1), FACTS (2), HSFC (3), Bayesian GEPPETO (4), and ACT (5)] posit that both auditory and somatosensory information is used during speech production…”
BackgroundLexical access in speech productionPreprint
Kerr, E., Ivanova, B., & Strijkers, K. (2022) · doi:10.31234/osf.io/83xzn · Cited by 11
Microstructural white matter changes underlying speech deficits in Parkinson’s disease
Mollaei, F., & Chinoor, M. A. B. (2024) · Brain and Language · doi:10.1016/j.bandl.2024.105378 · Cited by 10
“…only monitors the smooth initiation and sequencing of speech sounds by use of feedback control processes, but also updates previously learned motor commands based on auditory information within the feedforward con-trol system (Brown et al., 2009; Hacker et al., 2012; Tourville & Guenther, 2011).”
InfluentialSeverijnen, G. G. A., Bosker, H. R., & McQueen, J. M. (2024) · Journal of Phonetics · doi:10.1016/j.wocn.2024.101296 · Cited by 18
“The present study was not designed to test models of speech production, but it does suggest that models, in particular those of speech motor con-trol such as the DIVA model (Tourville & Guenther, 2011), may be extended to incorporate mechanisms capable of generating between-talker variability.”
MethodBakhtiar, M., Yeung, T. W. Y., & Choi, A. (2024) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.13039 · Cited by 10
Central Mechanisms and Pathophysiology of Laryngeal Dystonia: An Up-to-Date Review
Lee, C. W., Krüger, M. T., Akram, H., Zrinzo, L. U., Rubin, J. S., Birchall, M., & Fishman, J. M. (2024) · Journal of Voice · doi:10.1016/j.jvoice.2024.07.007 · Cited by 10
“40 Tourville and Guenther in 2011 proposed the Directions Into Velocities of Articulators (DIVA) model to describe the normal speech production neural network (Figure 2).”
InfluentialTremblay, P., & Brambati, S. M. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1420133 · Cited by 10
“The Directions into velocities of articulators (DIVA) model (Guenther et al., 1998; Tourville and Guenther, 2010), developed by Guenther (2016), is a model of speech production and speech learning that focuses on feedforward and feedback mechanisms.”
MethodThe neurobiology of sentence production: A narrative review and meta-analysis
Yeaton, J. (2025) · Brain and Language · doi:10.1016/j.bandl.2025.105549 · Cited by 11
“…form is a phonological string which can be executed as a motor plan, but at this level, too, there are claims about the nature of this string and the mapping between the abstract sounds and motor plan that fall outside the scope of this paper (Dell et al., 2007; Tourville and Guenther, 2011).”
Predicting and imagining language
Gambi, C., & Pickering, M. J. (2015) · Language Cognition and Neuroscience · doi:10.1080/23273798.2015.1049188 · Cited by 10
“Note that two prominent models of speech motor control assume that motor-to-somatosensory and motor-to-auditory mappings occur in parallel rather than sequentially (Hickok, 2012a; Tourville & Guenther, 2011).”
BackgroundInfluence of Altered Auditory Feedback on Oral–Nasal Balance in Speech
de Boer, G., & Bressmann, T. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-s-16-0390 · Cited by 10
FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback
Parrell, B., Ramanarayanan, V., Nagarajan, S. S., & Houde, J. F. (2018) · Interspeech (USB) · doi:10.21437/interspeech.2018-2087 · Cited by 10
“While we do not here explicitly relate this machine learning process to human learning, such maps could theoretically be learned during early speech acquisition, such as babbling [7].”
BackgroundMethodRichardson, K. C., & Sussman, J. E. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-h-18-0424 · Cited by 10
The Relationship Between Voice Onset Time and Increase in Vocal Effort and Fundamental Frequency
Groll, M. D., Hablani, S., & Stepp, C. E. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-20-00505 · Cited by 10
“Contemporary models of speech motor control, including the Directions Into Velocities of Articulators model (Tourville & Guenther, 2011), theorize that, during development of speech, the auditory control system relies primarily on a feedback control system to monitor and correct motor behaviors in…”
BackgroundDifferences in implicit motor learning between adults who do and do not stutter
Höbler, F., Bitan, T., Tremblay, L., & Nil, L. D. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108342 · Cited by 13
“Implicit or incidental learning is of particular importance to the acquisition of complex skills that require incremental fine-tuning of the perceptual-motor system and updating of internal models through repeated practice (Fitts, 1964; Tourville and Guenther, 2011).”
BackgroundSlis, A., Savariaux, C., Perrier, P., & Garnier, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0276691 · Cited by 12
O’Brien, A. M., Perrachione, T. K., Weil, L. W., Araujo, Y. S., Halverson, K. K., Harris, A., Ostrovskaya, I., Kjelgaard, M., Wexler, K. N., Tager-Flusberg, H. B., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103299 · Cited by 13
“Speech perception tasks engage a network of widely distributed brain regions, including primary and association auditory areas (e.g., bilateral superior temporal gyrus (STG) and superior temporal sulcus (STS)) involved in spectrotemporal and phonological processing, respectively.”
InfluentialMarchetti, R., Pinto, S., Spieser, L., Vaugoyeau, M., Cavalli, E., Ahmadi, A. E., Assaiante, C., & Colé, P. (2023) · Brain Sciences · doi:10.3390/brainsci13020210 · Cited by 10
Hinkley, L. B. N., Thompson, M., Miller, Z., Borghesani, V., Mizuiri, D., Shwe, W., Licata, A. E., Ninomiya, S., Lauricella, M., Mandelli, M. L., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26408 · Cited by 10
Ziegler, W., & Staiger, A. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00078-x · Cited by 10
Speaking Rate among Adult Hebrew Speakers: A Preliminary Observation
Amir, O. (2016) · Annals of Behavioural Science · doi:10.21767/2471-7975.100016 · Cited by 11
“Interpersonal differences in speaking rate were also incorporated into theoretical models of speech production, such as the DIVA model [19,20].”
MethodDeficient Response to Altered Auditory Feedback in Dyslexia
van den Bunt, M. R., Groen, M. A., van der Kleij, S. W., Noordenbos, M. W., Segers, E., Pugh, K. R., & Verhoeven, L. T. W. (2018) · Developmental Neuropsychology · doi:10.1080/87565641.2018.1495723 · Cited by 9
“In a separate literature, however, work on neurocomputational models of speech motor control suggest that the quality of phonological representations hinges on the interaction between speech production (i.e. feed-forward) and speech perception (i.e. feedback) mechanisms (Tourville & Guenther, 2011).”
BackgroundPützer, M., Moringlane, J. R., Sikos, L., Reith, W., & Krick, C. M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107129 · Cited by 11
Metadata
- Authors
- Tourville, J. A., & Guenther, F. H.
- Affiliations
- Boston University (US)
- Corresponding author
- Guenther, Frank H.
- Venue
- Language and Cognitive Processes
- Publisher
- Informa UK Limited
- Published
- 2011-08
- Volume
- 26
- Issue
- 7
- Pages
- 952-981
- ISSN
- 0169-0965 (ISSN-L)
- 1464-0732
- PMC
- PMC3650855
- OpenAlex
- W2011934537
- Cited by
- 748
- References
- 178
- Citations by year
- 2026: 67 · 2025: 77 · 2024: 68 · 2023: 65 · 2022: 112 · 2021: 58 · 2020: 57 · 2019: 60 · 2018: 45 · 2017: 38 · 2016: 27 · 2015: 28 · 2014: 22 · 2013: 15 · 2012: 5
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Language and Cognitive Processes (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R01DC002852)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- DIVA model, speech production, speech development, ventral premotor cortex, right lateralization, feedback control, brain regions, computational model, communication disorders
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