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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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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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Sorted by citations
Items 301–400 of 747
Letter, M. D., Criel, Y., Lind, A., Hartsuiker, R., & Santens, P. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104813 · Cited by 9
“Clinical case reports and research studies have used the DIVA model as a theoretical framework for investigating the effects of disrupted feedback mechanisms on the development of speech in children and on speech characteristics and intelligibility in acquired disorders (Tourville & Guenther, 2011).”
BackgroundResultToward a speech-motor account of the effect of Age of Pacifier Withdrawal
Barca, L. (2021) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2021.106085 · Cited by 10
Neural substrates of Chinese lexical production: The role of domain-general cognitive functions
Tao, L., Zhu, M., & Cai, Q. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107354 · Cited by 10
“According to the Directions Into Velocities of Articulators (DIVA; Guenther and Vladusich, 2012; Tourville and Guenther, 2011) model, overt speech entails articulatory movement, somatosensory perception of those movements, and auditory perception of the verbal productions, which activates motor, auditory, and somatose…”
Simulating lesion-dependent functional recovery mechanisms
Sajid, N., Holmes, E., Hope, T. M. H., Fountas, Z., Price, C. J., & Friston, K. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-87005-4 · Cited by 9
Sensorimotor learning during synchronous speech is modulated by the acoustics of the other voice
Bradshaw, A. R., Wheeler, E. D., McGettigan, C., & Lametti, D. R. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02536-x · Cited by 14
“…feedback generated by a speech movement can allow the system to detect and correct any deviations from these targets (i.e., prediction error) to ensure that our speech productions remain accurate and finely tuned (Parrell, Lammert, et al., 2019a; Parrell & Houde, 2019; Tourville & Guenther, 2011).”
Li, L., Ma, S., Tokuda, I. T., Liu, Z., Ma, Z., Tian, Y., & Kang, S. (2024) · Biomimetic Intelligence and Robotics · doi:10.1016/j.birob.2024.100173 · Cited by 9
The application of non-invasive neuromodulation in stuttering: Current status and future directions
Bakhtiar, M., & Johari, K. (2025) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2025.106100 · Cited by 9
Auditory Perception of Roughness and Breathiness by Dysphonic Women
Paz, K. E. D. S., Almeida, A. A., Almeida, L. N. A., Sousa, E. S. D. S., & Lopes, L. W. (2022) · Journal of Voice · doi:10.1016/j.jvoice.2022.01.005 · Cited by 9
Highman, C., Overby, M. S., Leitão, S., Abbiati, C. I., & Velleman, S. L. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-22-00639 · Cited by 9
Littlejohn, M., & Maas, E. (2023) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12934 · Cited by 9
Speaker-induced Suppression in EEG during a Naturalistic Reading and Listening Task
Kurteff, G., Lester‐Smith, R. A., CCC-SLP, Martinez, A., Currens, N., Holder, J., Villarreal, C., Mercado, V. R., Truong, C., Huber, C., et al. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02037 · Cited by 9
Cai, H., Dong, J., Mei, L., Feng, G., Li, L., Wang, G., & Yan, H. J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae075 · Cited by 9
Sensorimotor Integration in Patients with Voice Disorders: A Scoping Review of Behavioral Research
Nudelman, C. J. (2024) · Folia Phoniatrica et Logopaedica · doi:10.1159/000538661 · Cited by 9
“…of voice production describe areas of the central nervous system and speci fi c neuronal clusters that are responsible for feed-forward control of speech production (see references [11, 35]) – the same regions that are ostensibly implicated in patients in the Naunheim et al. [24] (2019) study.”
Maassen, B., & Terband, H. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-23-00591 · Cited by 9
Vowel generalization and its relation to adaptation during perturbations of auditory feedback
Reilly, K. J., & Pettibone, C. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00702.2016 · Cited by 9
“Contemporary models of speech production typically characterize vowel targets as regions in an auditory-perceptual space defined by the frequencies of F1, F2, and F3 (Guenther and Perkell 2004; Guenther and Vladusich 2012; Tourville and Guenther 2011).”
BackgroundHohmann, A., Loui, P., Li, C. H., & Schlaug, G. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00009 · Cited by 9
“…Neuroscience | www.frontiersin.org 6 January 2018 | Volume 12 | Article 9 that while the left pIFG is more involved in sound-motor planning, the pSTG is more involved in perceiving the target pitch and generating a mental representation of the sound to be produced (Tourville and Guenther, 2011).”
BackgroundA case for the role of memory consolidation in speech-motor learning
van Zelst, A. L., & Earle, F. S. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01793-w · Cited by 10
Cognitive Mechanisms in Pediatric Voice Therapy – An Initial Examination
Feinstein, H., Daşdöğen, Ü., Libertus, M. E., Awan, S. N., Galera, R. I., Dohar, J. E., & Abbott, K. V. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2021.09.014 · Cited by 9
Just give it time: Differential effects of disruption and delay on perceptual learning
Baese‐Berk, M. M., & Samuel, A. G. (2022) · Attention Perception & Psychophysics · doi:10.3758/s13414-022-02463-w · Cited by 9
Chupina, I., Sierpowska, J., Zheng, X., Dewenter, A., Piastra, M. C., & Piai, V. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15813 · Cited by 10
Simulating vocal learning of spoken language: Beyond imitation
van Niekerk, D. R., Xu, A., Gerazov, B., Krug, P. K., Birkholz, P., Halliday, L. F., Prom–on, S., & Xu, Y. (2023) · Speech Communication · doi:10.1016/j.specom.2023.01.003 · Cited by 9
“This includes the possible role of caregiver interaction to provide semantic and articulatory information (Rasilo et al., 2013; Messum and Howard, 2015; Murakami et al., 2015) and the importance of somatosensory feedback (Tourville and Guenther, 2011).”
BackgroundWhat does it mean to predict one's own utterances?
Meyer, A. S., & Peter Hagoort, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12002786 · Cited by 13
Measuring vocal motor skill with a virtual voice-controlled slingshot
Stan, J. H. V., Park, S., Jarvis, M., Mehta, D. D., Hillman, R. E., & Sternad, D. (2017) · The Journal of the Acoustical Society of America · doi:10.1121/1.5000233 · Cited by 9
“This was done to mimic the natural conditions of vocal learning, where vision is not routinely considered part of the real-time feedback loop; feedback constituents are traditionally auditory and proprioceptive/ somatosensory (Tourville and Guenther, 2011).”
BackgroundMagnuson, J. S., & Crinnion, A. M. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.013.23 · Cited by 10
Oxford Handbooks in Linguistics
(2022) · Oxford University Press eBooks · doi:10.1093/9780191954481.003.0108 · Cited by 9
Tabari, F., Patron, C., Cryer, H., & Johari, K. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112357 · Cited by 9
Hakanpää, T., Waaramaa, T., & Laukkanen, A.-M. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2020.12.032 · Cited by 8
Parrell, B., Ivry, R. B., Nagarajan, S. S., & Houde, J. F. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-20-00270 · Cited by 8
“While the source of an auditory error does not matter in some models of speech production, such as DIVA (Guenther, 2016; Tourville & Guenther, 2011), it is relevant in other models based on state feedback control, such as the State Feedback Control and Feedback Aware Control of Tasks in Speech…”
BackgroundMoore, S. A., & Rong, P. (2022) · American Journal of Speech-Language Pathology · doi:10.1044/2022_ajslp-22-00046 · Cited by 8
DIVA Meets EEG: Model Validation Using Formant-Shift Reflex
Cuadros, J., Rivera, L. Z., Castro, C., Whitaker, G., Otero, M., Weinstein, A., Martínez-Montes, E., Prado, P., & Zañartu, M. (2023) · Applied Sciences · doi:10.3390/app13137512 · Cited by 8
“This model represents a unified neurocomputational framework that accounts for different aspects of speech production, including compensatory behaviors due to sensory feedback perturbations [21,22].”
MethodResultAdaptive phonemic coding in the listening and speaking brain
Grabski, K., & Sato, M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107267 · Cited by 7
“During speech production, modulation of neural responses observed within the auditory and somatosensory cortices are thought to reflect feedback control mechanisms in which sensory consequences of the speech motor act are evaluated with actual sensory inputs in order to evaluate acccurate phonemic production (e.g., Ho…”
BackgroundResultSublexical cues affect degraded speech processing: insights from fMRI
Al-Zubaidi, A., Bräuer, S., Holdgraf, C., Schepers, I. M., & Rieger, J. W. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac007 · Cited by 9
“For instance, posterior SMA has been shown to be activated in verbal working memory and top-down predictive mechanisms during speech perception (Tourville and Guenther 2011; Hertrich et al. 2016).”
BackgroundResultPediatric Responses to Fundamental and Formant Frequency Altered Auditory Feedback: A Scoping Review
Coughler, C., de Launay, K. Q., Purcell, D. W., Cardy, J. O., & Beal, D. S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.858863 · Cited by 9
Activity associated with speech articulation measured through direct cortical recordings
Basilakos, A., Fridriksson, J., Rorden, C., Behroozmand, R., Hanayik, T., Naselaris, T., Gaizo, J. D., Breedlove, J. L., Vandergrift, W. A., & Bonilha, L. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.01.013 · Cited by 7
“However, the relationship between insular function and communication is less rooted in models of language production (e.g., Hickok, 2014; Tourville & Guenther, 2011), even though several studies have reported that the insula is implicated in communication disorders, such as apraxia of speech (AOS;…”
Iimura, D., Asakura, N., Sasaoka, T., & Inui, T. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02440 · Cited by 8
“The directions into velocities of articulators model, which is a neural network model of speech production, simulates stuttering based on the dominance of feedback control in speech (Guenther et al., 2006; Civier et al., 2010; Tourville and Guenther, 2011).”
BackgroundMorphology and The Mental Lexicon
Embick, D., Creemers, A., & Davies, A. J. G. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.013.17 · Cited by 7
Internal speech is faster than external speech: Evidence for feedback-based temporal control
Tilsen, S. (2024) · Cognition · doi:10.1016/j.cognition.2023.105713 · Cited by 7
Fumel, J., Bahuaud, D., Weed, E., Fusaroli, R., & Basirat, A. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-23-00588 · Cited by 7
Suchý, D., Behroozmand, R., & Railo, H. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121269 · Cited by 9
Murray, E. S. H., & Chao, A. (2021) · Journal of Voice · doi:10.1016/j.jvoice.2021.06.008 · Cited by 7
Murray, E. S. H., Segawa, J. A., Karahanoğlu, F. I., Tocci, C., Tourville, J. A., Nieto-Castañón, A., Tager-Flusberg, H. B., Manoach, D. S., & Guenther, F. H. (2022) · Research in Autism · doi:10.1016/j.rasd.2022.101955 · Cited by 7
Self-citationdos Santos, V. B., Ayres, A. J., Peres, M. L. M. K., Miglorini, E. C., Jardim, L. B., Schuh, A. F. S., Rieder, C. R. D. M., Castilhos, R. M., Spencer, K. A., Rothe‐Neves, R., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1179287 · Cited by 7
“As the execution of movements for speech production relies heavily on subcortical (and cortical) components (13), perhaps some speech tasks can help to differentiate the motor control of speech for two subcortical diseases (PD and SCA), as suggested, for instance, by Ziegler (14).”
BackgroundModifications of auditory feedback and its effects on the voice of adult subjects: a scoping review
Alves, M. D. C., Mancini, P. C., & Teixeira, L. C. (2023) · CoDAS · doi:10.1590/2317-1782/20232022202en · Cited by 7
“Auditory feedback is the hearing perception of one’s own voice in real time, enabling the person to monitor its intensity, frequency, and quality (5,8-10) .”
BackgroundInfluentialDetection of Gap and Modulations: Auditory Temporal Resolution Deficits in Adults Who Stutter
Devaraju, D. S., Maruthy, S., & Uppunda, A. K. (2019) · Folia Phoniatrica et Logopaedica · doi:10.1159/000499565 · Cited by 7
Chrabaszcz, A. V., Wang, D., Lipski, W. J., Bush, A., Crammond, D. J., Shaiman, S., Dickey, M. W., Holt, L. L., Turner, R. S., Fiez, J. A., et al. (2021) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2021.101019 · Cited by 7
“…Zawacki, Brinson, Lu, & Sadek, 1997; Eisinger, Urdaneta, Foote, Okun, & Gunduz, 2018; Guenther, Ghosh, & Tourville, 2006; Indefrey, 2011; Jürgens, 2002; Kotz & Schwartze, 2010; Kotz, Schwartze, & Schmidt-Kassow, 2009; Middleton & Strick, 1994; Price, 2012; Tourville & Guenther, 2011; Ullman, 2004).”
Castillo‐Allendes, A., Contreras-Ruston, F., & Searl, J. P. (2021) · Revista de Investigación e Innovación en Ciencias de la Salud · doi:10.46634/riics.62 · Cited by 6
Kogan, V. V., & Mora, J. C. (2022) · Laboratory Phonology Journal of the Association for Laboratory Phonology · doi:10.16995/labphon.6431 · Cited by 7
Rong, P., & Heidrick, L. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00089 · Cited by 7
Abu‐Zhaya, R., Goffman, L., Brosseau‐Lapré, F., Roepke, E., & Seidl, A. H. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00226 · Cited by 10
“DIVA is a model of speech motor control that incorporates somatosensory, auditory, and articulatory interactions (e.g., Tourville & Guenther, 2011).”
BackgroundMethodInfluentialEvidence for, and predictions from, forward modeling in language production
Alario, F. ‐., & Hamamé, C. M. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1200249x · Cited by 7
Self-Judgments of Word Production Accuracy in Acquired Apraxia of Speech
Wambaugh, J. L., Shuster, L., Bailey, D. J., Mauszycki, S. C., Kean, J. T., Nessler, C., Wright, S., & Brunsvold, J. (2016) · American Journal of Speech-Language Pathology · doi:10.1044/2016_ajslp-15-0139 · Cited by 7
Lee, S.-H., Fang, T., Yu, J., & Lee, G. (2017) · Journal of Voice · doi:10.1016/j.jvoice.2017.01.015 · Cited by 7
How to study spoken language understanding: a survey of neuroscientific methods
Rodd, J. M., & Davis, M. H. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2017.1323110 · Cited by 7
“…there is relatively little work linking new forms of neural data to computational models of spoken language (though see Ueno, Saito, Rogers, & Lambon Ralph, 2011 for an attempt in the domain of neuropsychology; Blank & Davis, 2016 in brain imaging; Tourville & Guenther, 2011 in speech production).”
BackgroundInfluence of Altered Auditory Feedback on Oral-Nasal Balance in Song
Santoni, C., de Boer, G., Thaut, M. H., & Bressmann, T. (2018) · Journal of Voice · doi:10.1016/j.jvoice.2018.06.014 · Cited by 7
Howard, C. M., Smith, L. L., Coslett, H. B., & Buxbaum, L. J. (2019) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2019.01.032 · Cited by 7
Influence of bilateral cochlear implants on vocal control
Kirchner, A., Loucks, T. M. J., Abbs, E., Shi, K. X., Yu, J. W., & Aronoff, J. M. (2020) · The Journal of the Acoustical Society of America · doi:10.1121/10.0001099 · Cited by 7
“To implement these conversational uses of vocal pitch (the perceptual correlate of fundamental frequency, F0), nuanced voice control is required through monitoring one’s vocal productions to correct for production errors (Tourville and Guenther, 2011).”
BackgroundInfluentialZhang, H., Bao, Y., Feng, Y., Hu, H., & Wang, Y. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.00027 · Cited by 7
Auditory feedback control is involved at even sub-phonemic levels of speech production
Guenther, F. H. (2013) · Language Cognition and Neuroscience · doi:10.1080/01690965.2013.852230 · Cited by 7
“…traits with the Directions Into Velocities of Articulators (DIVA) model of speech production, which provides the most detailed and thoroughly tested account of the neural computations underlying speech motor control (see Tourville & Guenther, 2011 for the most recent version of the DIVA model).”
BackgroundSelf-citationHuman Precentral Gyrus Neurons Link Speech Sequences from Listening to SpeakingPreprint
Xu, D., Chung, J. E., Silva, A. B., Metzger, S. L., Greicius, Q., Zhang, Y., Leonard, M. K., Aghi, M. K., Hervey‐Jumper, S. L., & Chang, E. F. (2024) · SSRN Electronic Journal · doi:10.1101/2024.12.27.630563 · Cited by 9
The Bouba-Kiki Effect in Children With Childhood Apraxia of Speech
Gold, R., Klein, D., & Segal, O. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-21-00070 · Cited by 6
Madhavan, A., Lam, L., Etter, N. M., & Wilkinson, K. M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1085779 · Cited by 6
“One motor control theory that applies this concept for learning speech is the Direction into Velocity of Articulators (DIVA) model (Tourville and Guenther, 2011).”
BackgroundTheofanopoulou, C. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877241313304 · Cited by 6
“57 Motor speech de fi cits and underlying brain pathways in Alzheimer ’ s disease AD is typically characterized by progressive memory impairment and overall cognitive decline.”
Nozari, N. (2025) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2025.101247 · Cited by 7
Tomassi, N. E., Turashvili, D. M., Williams, A., Walsh, B. M., Stephen, E. P., & Stepp, C. E. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-24-00601 · Cited by 6
Neural mechanisms of articulatory motor speech deficit in post-stroke aphasia: An ERP study
Nejati, V., Daliri, A., & Behroozmand, R. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121483 · Cited by 6
Cai, X., Ouyang, M., Yin, Y., & Zhang, Q. (2023) · Language and Speech · doi:10.1177/00238309231202503 · Cited by 5
“…the DIVA model function similarly to mirror neurons, that is, these cells are activated during the perception of a new sound while learning that sound’s auditory target and the same sound-specific cell is activated later in the production of the sound (see Figure 1 of Tourville & Guenther, 2011).”
Vissani, M., Bush, A., Lipski, W. J., Bullock, L., Fischer, P., Neudorfer, C., Holt, L. L., Fiez, J. A., Turner, R., & Richardson, R. M. (2025) · Nature Communications · doi:10.1038/s41467-025-58781-8 · Cited by 10
“GODIVA posits a phonological content buffer for upcoming speech sounds.”
InfluentialInfratentorial white matter integrity as a potential biomarker for post-stroke aphasia
Zhang, B., Caroline Schnakers, A., Wang, K. X.-L., Wang, J., Lee, S. C. L., Millan, H., Howard, M. M., Rosario, E. R., & Zheng, Z. S. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf174 · Cited by 6
Lewis, J. W., Silberman, M., Donai, J. J., Frum, C., & Brefczynski‐Lewis, J. A. (2018) · Brain and Language · doi:10.1016/j.bandl.2018.05.002 · Cited by 7
“rective motor commands; and (c) a feedforward control system (Guenther and Vladusich, 2012; Tourville and Guenther, 2011).”
Vascular syndromes: Revisiting classification of poststroke aphasia
Bunker, L. D., & Hillis, A. E. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-823384-9.00002-5 · Cited by 6
Swann, Z., Daliri, A., & Honeycutt, C. F. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-21-00486 · Cited by 6
An fMRI-study of leading and following using rhythmic tapping
Silfwerbrand, L., Ogata, Y., Yoshimura, N., Koike, Y., & Gingnell, M. (2022) · Social Neuroscience · doi:10.1080/17470919.2023.2189615 · Cited by 7
“Similar to this, the activation of IFG during leading may be linked to high-level capacities for processing of music and rhythms (Bashwiner & Bacon, 2019), with activity in the triangular part of the IFG representing feedback control (Tourville & Guenther, 2011).”
Artificial Vocal Learning Guided by Phoneme Recognition and Visual Information
Krug, P. K., Birkholz, P., Gerazov, B., van Niekerk, D. R., Xu, A., & Xu, Y. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2023.3264454 · Cited by 6
“1) Related Work: Numerous papers on the simulation of speech acquisition have been published in recent years [6], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], see [22] for a more in-depth comparative review.”
BackgroundTerband, H., & van Brenk, F. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-22-00379 · Cited by 6
Overt speech decoding from cortical activity: a comparison of different linear methods
Godais, G. L., Roussel, P., Bocquelet, F., Aubert, M., Kahane, P., Chabardès, S., & Yvert, B. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1124065 · Cited by 8
“…at least some non-overlapping information about the representation of produced speech, which further supports the current understanding of cortical mechanisms of speech as distributed cortical processes across frontal and temporal regions (Hickok and Poeppel, 2007; Tourville and Guenther, 2011).”
BackgroundXu, A., van Niekerk, D. R., Gerazov, B., Krug, P. K., Birkholz, P., Prom–on, S., Halliday, L. F., & Xu, Y. (2024) · Journal of Phonetics · doi:10.1016/j.wocn.2024.101338 · Cited by 7
Etter, N. M., Dressler, E. V. M., & Andreatta, R. D. (2015) · International Journal of Speech-Language Pathology · doi:10.3109/17549507.2015.1060527 · Cited by 6
“…and provides a working model for testing learning and maintenance aspects of skilled speech production in children (Bohland, Bullock, & Guenther, 2010; Golfi nopoulos, Tourville, & Guenther, 2010; Guenther & Vladusich, 2012; Terband, Maassen, Guenther, & Brumberg, 2014; Tourville & Guenther, 2011).”
BackgroundInfluentialSensorimotor adaptation across the speech production workspace in response to a palatal perturbation
Barbier, G., Baum, S. R., Ménard, L., & Shiller, D. M. (2020) · The Journal of the Acoustical Society of America · doi:10.1121/10.0000672 · Cited by 6
Coughler, C., Hamel, E. M., Cardy, J. O., Archibald, L. M. D., & Purcell, D. W. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2020_jslhr-20-00374 · Cited by 6
Speech listening entails neural encoding of invisible articulatory features
Pastore, A., Tomassini, A., Delis, I., Dolfini, E., Fadiga, L., & D’Ausilio, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119724 · Cited by 6
Jackendoff, R. S. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.013.3 · Cited by 6
Liu, J., Ruzi, R., Jian, C., Wang, Q., Zhao, S., Ng, M. L., Zhao, S., Wang, L., & Yan, N. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1455085 · Cited by 5
Oxytocinergic modulation of speech production—a double-blind placebo-controlled fMRI study
Vogt, C., Floegel, M., Kasper, J., Gispert-Sánchez, S., & Kell, C. A. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad035 · Cited by 5
“Sensorimotor speech regions included both parts of the feedforward and feedback control system of speaking (Belin et al., 2011; Tourville and Guenther, 2011; Floegel et al., 2020, 2023).”
BackgroundLu, F., Zhao, K., Wu, Y., Kong, Y., Gao, Y., & Zhang, L. (2023) · Journal of Voice · doi:10.1016/j.jvoice.2023.09.027 · Cited by 6
Nance, C., & Kirkham, S. (2023) · Bilingualism Language and Cognition · doi:10.1017/s1366728923000688 · Cited by 5
“It may be the case that speakers aim for an acoustic target and then optimise their articulations to achieve this target (Tourville & Guenther, 2011).”
BackgroundImportance of copy number variants in childhood apraxia of speech and other speech sound disorders
Chan, E. R., Benchek, P. H., Miller, G. J., Brustoski, K., Schaffer, A. E., Truitt, B. J., Tag, J., Freebairn, L. A., Lewis, B. A., Stein, C. M., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06968-y · Cited by 5
“Articulation was additionally evaluated by previously recorded audio samples (Supplementary Tables 1, 3, and 5).”
Castro, C., Cortés, J. P., Rivera, L. Z., Prado, P., Weinstein, A., & Zañartu, M. (2024) · The Journal of the Acoustical Society of America · doi:10.1121/10.0034544 · Cited by 5
Cai, X., Yin, Y., & Zhang, Q. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-20-00330 · Cited by 5
Localizing category-related information in speech with multi-scale analyses
Tilsen, S., Kim, S.-E., & Wang, C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258178 · Cited by 6
Spencer, C. E., Davison, K. E., Boucher, A. R., & Zuk, J. (2022) · Language Speech and Hearing Services in Schools · doi:10.1044/2022_lshss-21-00170 · Cited by 5
Beach, S. D., Tang, D.-L., Kiran, S., & Niziolek, C. A. (2024) · Neurobiology of Language · doi:10.1162/nol_a_00139 · Cited by 5
“…into velocities of articulators) model of speech production have placed the speech sound map, representing the sounds that speakers intend to produce, in IFO and/or adjacent ventral premotor cortex (Guenther, 2006; Guenther & Vladusich, 2012; Miller & Guenther, 2021; Tourville & Guenther, 2011).”
BackgroundMethodAlshangiti, W., & Evans, B. G. (2024) · The Journal of the Acoustical Society of America · doi:10.1121/10.0026451 · Cited by 5
Research on the mechanism for phonating stressed English syllables based on DIVA model
Shaobai, Z., Yanchun, J., & Liwen, H. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.11.032 · Cited by 5
Vocal Biomarkers of Mild-to-Moderate Hearing Loss in Children and Adults: Voiceless Sibilants
Pittman, A. L., Daliri, A., & Meadows, L. (2018) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-h-17-0460 · Cited by 5
Sigma-Lognormal Modeling of Speech
Carmona-Duarte, C., Ferrer, M. A., Réjean Plamondon, B., Gómez-Rodellar, A., & Gómez‐Vilda, P. (2021) · Cognitive Computation · doi:10.1007/s12559-020-09803-8 · Cited by 5
Autoencoder-Based Tongue Shape Estimation During Continuous Speech
Ribeiro, V., & Laprié, Y. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-10272 · Cited by 5
“In this sense, correctly reproducing the articulator’s shape for each phoneme to be articulated and taking coarticulation into account is a substantial step towards understanding and mimicking the speech production dynamics [4, 5] and for motor control research [6, 7].”
BackgroundMcCall, J. D., DeMarco, A. T., Mandal, A. S., Fama, M. E., van der Stelt, C. M., Lacey, E. H., Laks, A. B., Snider, S. F., Friedman, R. B., & Turkeltaub, P. E. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02000 · Cited by 6
“Two prominent sensorimotor models include Hickok’s Hierarchical State Feedback Control (HSFC) model (Hickok, 2012), and Guenther and colleagues’ Directions into Velocities of Articulators (DIVA) model (Tourville & Guenther, 2011; Bohland, Bullock, & Guenther, 2010; Guenther, 2006).”
BackgroundMethodInfluentialRodd, J., Bosker, H. R., Ernestus, M., Alday, P. M., Meyer, A. S., & ten Bosch, L. (2019) · Psychological Review · doi:10.1037/rev0000172 · Cited by 5
“In this article, we will follow Levelt, Roelofs, and Meyer (1999) and Tourville and Guenther (2011) in assuming that the gestural score representation encodes the relative onset and offset times of abstract gestures (comparable with the gestures described by e.g., Browman & Goldstein, 1992) of a…”
BackgroundMethodInfluentialChildhood Apraxia of Speech: Clinical Decision Making From a Motor-Based Perspective
Stoeckel, R. E., & Caspari, S. S. (2020) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2020_persp-19-00090 · Cited by 5
Lancia, L., & Rosenbaum, B. (2018) · Biological Cybernetics · doi:10.1007/s00422-018-0749-y · Cited by 5
“An influential model inwhichmotor synergies control acoustic variables is the DIVA model of and speech acquisition and speech production (Guenther 1994; Tourville and Guenther 2011).”
Method
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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