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Journal articles on the topic "Sensorimotor control of speech":
1
Vaughn, Chris, and Sazzad M. Nasir. "Precise feedback control underlies sensorimotor learning in speech." Journal of Neurophysiology 113, no. 3 (February 1, 2015): 950–55. http://dx.doi.org/10.1152/jn.00454.2014.
Acquiring the skill of speaking in another language, or for that matter a child's learning to talk, does not follow a single recipe. People learn by variable amounts. A major component of speech learnability seems to be sensing precise feedback errors to correct subsequent utterances that help maintain speech goals. We have tested this idea in a speech motor learning paradigm under altered auditory feedback, in which subjects repeated a word while their auditory feedback was changed online. Subjects learned the task to variable degrees, with some simply failing to learn. We assessed feedback contribution by computing one-lag covariance between formant trajectories of the current feedback and the following utterance that was found to be a significant predictor of learning. Our findings rely on a novel use of information-rich formant trajectories in evaluating speech motor learning and argue for their relevance in auditory speech goals of vowel sounds.
2
Houde, John F., and Michael I. Jordan. "Sensorimotor Adaptation of Speech I." Journal of Speech, Language, and Hearing Research 45, no. 2 (April 2002): 295–310. http://dx.doi.org/10.1044/1092-4388(2002/023).
When motor actions (e.g., reaching with your hand) adapt to altered sensory feedback (e.g., viewing a shifted image of your hand through a prism), the phenomenon is called sensorimotor adaptation (SA). In the study reported here, SA was observed in speech. In two 2-hour experiments (adaptation and control), participants whispered a variety of CVC words. For those words containing the vowel /ε/, participants heard auditory feedback of their whispering. A DSP-based vocoder processed the participants' auditory feedback in real time, allowing the formant frequencies of participants' auditory speech feedback to be shifted. In the adaptation experiment, formants were shifted along one edge of the vowel triangle. For half the participants, formants were shifted so participants heard /a/ when they produced /ε/; for the other half, the shift made participants hear /i/ when they produced /ε/. During the adaptation experiment, participants altered their production of /ε/ to compensate for the altered feedback, and these production changes were retained when participants whispered with auditory feedback blocked by masking noise. In a control experiment, in which the formants were not shifted, participants' production changes were small and inconsistent. Participants exhibited a range of adaptations in response to the altered feedback, with some participants adapting almost completely, and other participants showing very little or no adaptation.
3
van den Bunt, Mark R., Margriet A. Groen, Steve Frost, Airey Lau, Jonathan L. Preston, Vincent L. Gracco, Kenneth R. Pugh, and Ludo T. W. Verhoeven. "Sensorimotor Control of Speech and Children’s Reading Ability." Scientific Studies of Reading 22, no. 6 (July 17, 2018): 503–16. http://dx.doi.org/10.1080/10888438.2018.1491583.
Valeriani, Davide, and Kristina Simonyan. "The dynamic connectome of speech control." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1836 (September 6, 2021): 20200256. http://dx.doi.org/10.1098/rstb.2020.0256.
Speech production relies on the orchestrated control of multiple brain regions. The specific, directional influences within these networks remain poorly understood. We used regression dynamic causal modelling to infer the whole-brain directed (effective) connectivity from functional magnetic resonance imaging data of 36 healthy individuals during the production of meaningful English sentences and meaningless syllables. We identified that the two dynamic connectomes have distinct architectures that are dependent on the complexity of task production. The speech was regulated by a dynamic neural network, the most influential nodes of which were centred around superior and inferior parietal areas and influenced the whole-brain network activity via long-ranging coupling with primary sensorimotor, prefrontal, temporal and insular regions. By contrast, syllable production was controlled by a more compressed, cost-efficient network structure, involving sensorimotor cortico-subcortical integration via superior parietal and cerebellar network hubs. These data demonstrate the mechanisms by which the neural network reorganizes the connectivity of its influential regions, from supporting the fundamental aspects of simple syllabic vocal motor output to multimodal information processing of speech motor output. This article is part of the theme issue ‘Vocal learning in animals and humans’.
5
Nijland, Lian, Hayo Terband, and Ben Maassen. "Cognitive Functions in Childhood Apraxia of Speech." Journal of Speech, Language, and Hearing Research 58, no. 3 (June 2015): 550–65. http://dx.doi.org/10.1044/2015_jslhr-s-14-0084.
Purpose Childhood apraxia of speech (CAS) is diagnosed on the basis of specific speech characteristics, in the absence of problems in hearing, intelligence, and language comprehension. This does not preclude the possibility that children with this speech disorder might demonstrate additional problems. Method Cognitive functions were investigated in 3 domains: complex sensorimotor and sequential memory functions, simple sensorimotor functions, and nonrelated control functions. Seventeen children with CAS were compared with 17 children with normal speech development at 2 occasions within 15 months. Results The children with CAS showed overall lower scores but similar improvement at Occasion 2 compared with the typically developing controls, indicating an overall delay in the development of cognitive functions. However, a specific deviant development in sequential abilities was found as well, indicated by significantly lower scores at Occasion 2 as compared with younger control children at Occasion 1. Furthermore, the scores on the complex sensorimotor and sequential memory tasks were significantly correlated with the severity of the speech impairment. Conclusions These results suggest that CAS involves a symptom complex that not only comprises errors of sequencing speech movements but implicates comorbidity in nonverbal sequential functioning in most children with CAS.
6
Bruderer, Alison G., D. Kyle Danielson, Padmapriya Kandhadai, and Janet F. Werker. "Sensorimotor influences on speech perception in infancy." Proceedings of the National Academy of Sciences 112, no. 44 (October 12, 2015): 13531–36. http://dx.doi.org/10.1073/pnas.1508631112.
The influence of speech production on speech perception is well established in adults. However, because adults have a long history of both perceiving and producing speech, the extent to which the perception–production linkage is due to experience is unknown. We addressed this issue by asking whether articulatory configurations can influence infants’ speech perception performance. To eliminate influences from specific linguistic experience, we studied preverbal, 6-mo-old infants and tested the discrimination of a nonnative, and hence never-before-experienced, speech sound distinction. In three experimental studies, we used teething toys to control the position and movement of the tongue tip while the infants listened to the speech sounds. Using ultrasound imaging technology, we verified that the teething toys consistently and effectively constrained the movement and positioning of infants’ tongues. With a looking-time procedure, we found that temporarily restraining infants’ articulators impeded their discrimination of a nonnative consonant contrast but only when the relevant articulator was selectively restrained to prevent the movements associated with producing those sounds. Our results provide striking evidence that even before infants speak their first words and without specific listening experience, sensorimotor information from the articulators influences speech perception. These results transform theories of speech perception by suggesting that even at the initial stages of development, oral–motor movements influence speech sound discrimination. Moreover, an experimentally induced “impairment” in articulator movement can compromise speech perception performance, raising the question of whether long-term oral–motor impairments may impact perceptual development.
7
Kim, Kwang S., Jessica L. Gaines, Benjamin Parrell, Vikram Ramanarayanan, Srikantan S. Nagarajan, and John F. Houde. "Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech." PLOS Computational Biology 19, no. 7 (July 28, 2023): e1011244. http://dx.doi.org/10.1371/journal.pcbi.1011244.
Upon perceiving sensory errors during movements, the human sensorimotor system updates future movements to compensate for the errors, a phenomenon called sensorimotor adaptation. One component of this adaptation is thought to be driven by sensory prediction errors–discrepancies between predicted and actual sensory feedback. However, the mechanisms by which prediction errors drive adaptation remain unclear. Here, auditory prediction error-based mechanisms involved in speech auditory-motor adaptation were examined via the feedback aware control of tasks in speech (FACTS) model. Consistent with theoretical perspectives in both non-speech and speech motor control, the hierarchical architecture of FACTS relies on both the higher-level task (vocal tract constrictions) as well as lower-level articulatory state representations. Importantly, FACTS also computes sensory prediction errors as a part of its state feedback control mechanism, a well-established framework in the field of motor control. We explored potential adaptation mechanisms and found that adaptive behavior was present only when prediction errors updated the articulatory-to-task state transformation. In contrast, designs in which prediction errors updated forward sensory prediction models alone did not generate adaptation. Thus, FACTS demonstrated that 1) prediction errors can drive adaptation through task-level updates, and 2) adaptation is likely driven by updates to task-level control rather than (only) to forward predictive models. Additionally, simulating adaptation with FACTS generated a number of important hypotheses regarding previously reported phenomena such as identifying the source(s) of incomplete adaptation and driving factor(s) for changes in the second formant frequency during adaptation to the first formant perturbation. The proposed model design paves the way for a hierarchical state feedback control framework to be examined in the context of sensorimotor adaptation in both speech and non-speech effector systems.
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Daliri, Ayoub, Elizabeth S. Heller Murray, Anne J. Blood, James Burns, J. Pieter Noordzij, Alfonso Nieto-Castanon, Jason A. Tourville, and Frank H. Guenther. "Auditory Feedback Control Mechanisms Do Not Contribute to Cortical Hyperactivity Within the Voice Production Network in Adductor Spasmodic Dysphonia." Journal of Speech, Language, and Hearing Research 63, no. 2 (February 26, 2020): 421–32. http://dx.doi.org/10.1044/2019_jslhr-19-00325.
Purpose Adductor spasmodic dysphonia (ADSD), the most common form of spasmodic dysphonia, is a debilitating voice disorder characterized by hyperactivity and muscle spasms in the vocal folds during speech. Prior neuroimaging studies have noted excessive brain activity during speech in participants with ADSD compared to controls. Speech involves an auditory feedback control mechanism that generates motor commands aimed at eliminating disparities between desired and actual auditory signals. Thus, excessive neural activity in ADSD during speech may reflect, at least in part, increased engagement of the auditory feedback control mechanism as it attempts to correct vocal production errors detected through audition. Method To test this possibility, functional magnetic resonance imaging was used to identify differences between participants with ADSD ( n = 12) and age-matched controls ( n = 12) in (a) brain activity when producing speech under different auditory feedback conditions and (b) resting-state functional connectivity within the cortical network responsible for vocalization. Results As seen in prior studies, the ADSD group had significantly higher activity than the control group during speech with normal auditory feedback (compared to a silent baseline task) in three left-hemisphere cortical regions: ventral Rolandic (sensorimotor) cortex, anterior planum temporale, and posterior superior temporal gyrus/planum temporale. Importantly, this same pattern of hyperactivity was also found when auditory feedback control of speech was eliminated through masking noise. Furthermore, the ADSD group had significantly higher resting-state functional connectivity between sensorimotor and auditory cortical regions within the left hemisphere as well as between the left and right hemispheres. Conclusions Together, our results indicate that hyperactivation in the cortical speech network of individuals with ADSD does not result from hyperactive auditory feedback control mechanisms and rather is likely related to impairments in somatosensory feedback control and/or feedforward control mechanisms.
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Okobi, Daniel E., Arkarup Banerjee, Andrew M. M. Matheson, Steven M. Phelps, and Michael A. Long. "Motor cortical control of vocal interaction in neotropical singing mice." Science 363, no. 6430 (February 28, 2019): 983–88. http://dx.doi.org/10.1126/science.aau9480.
Like many adaptive behaviors, acoustic communication often requires rapid modification of motor output in response to sensory cues. However, little is known about the sensorimotor transformations that underlie such complex natural behaviors. In this study, we examine vocal exchanges in Alston’s singing mouse (Scotinomys teguina). We find that males modify singing behavior during social interactions on a subsecond time course that resembles both traditional sensorimotor tasks and conversational speech. We identify an orofacial motor cortical region and, via a series of perturbation experiments, demonstrate a hierarchical control of vocal production, with the motor cortex influencing the pacing of singing behavior on a moment-by-moment basis, enabling precise vocal interactions. These results suggest a systems-level framework for understanding the sensorimotor transformations that underlie natural social interactions.
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Murphy, K., D. R. Corfield, A. Guz, G. R. Fink, R. J. S. Wise, J. Harrison, and L. Adams. "Cerebral areas associated with motor control of speech in humans." Journal of Applied Physiology 83, no. 5 (November 1, 1997): 1438–47. http://dx.doi.org/10.1152/jappl.1997.83.5.1438.
Murphy, K., D. R. Corfield, A. Guz, G. R. Fink, R. J. S. Wise, J. Harrison, and L. Adams. Cerebral areas associated with motor control of speech in humans. J. Appl. Physiol. 83(5): 1438–1447, 1997.—We have defined areas in the brain activated during speaking, utilizing positron emission tomography. Six normal subjects continuously repeated the phrase “Buy Bobby a poppy” (requiring minimal language processing) in four ways: A) spoken aloud, B) mouthed silently, C) without articulation, and D) thought silently. Statistical comparison of images from conditions Awith C and B with D highlighted areas associated with articulation alone, because control of breathing for speech was controlled for; we found bilateral activations in sensorimotor cortex and cerebellum with right-sided activation in the thalamus/caudate nucleus. Contrasting images from conditions A with B and C with D highlighted areas associated with the control of breathing for speech, vocalization, and hearing, because articulation was controlled for; we found bilateral activations in sensorimotor and motor cortex, close to but distinct from the activations in the preceding contrast, together with activations in thalamus, cerebellum, and supplementary motor area. In neither subtraction was there activation in Broca’s area. These results emphasize the bilaterality of the cerebral control of “speaking” without language processing.
Dissertations / Theses on the topic "Sensorimotor control of speech":
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Li, Jinyu. "Interaction entre structure rythmique et sens d’agentivité en production de la parole." Electronic Thesis or Diss., Paris 3, 2023. http://www.theses.fr/2023PA030119.
Pour s'adapter aux imprévus lors de la production de la parole, le système moteur intègre les informations sensorielles (ex. le retour auditif), et bénéficie du groupement rythmique, qui est caractérisé par la prosodie. Cependant, le système sensorimoteur d'un locuteur traite différemment les événements acoustiques relatifs à sa propre voix par rapport à ceux d'autrui. Cette thèse vise à examiner la flexibilité de la production de la parole en analysant le rôle organisateur de la prosodie et la sensation subjective d'un locuteur sur le contrôle de sa voix (c.-à-d. le sens d'agentivité relatif à sa voix).Des expériences des perturbations du retour auditif ont été menées chez des locutrices francophones. Avec le retour auditif retardé (DAF), la différence de durée entre les voyelles accentuées et non accentuées s'est accrue, soulignant une plus grande flexibilité durant la production des accents. De plus, le DAF a induit une réorganisation du rythme de la parole avec un renforcement du groupement syllabique. Avec un décalage continu de la fréquence fondamentale (f0) du retour auditif, la majorité des locutrices ont aligné leur f0 sur celle modifiée du retour auditif, suggérant que leur système sensorimoteur aurait traité la voix perçue comme une entrée externe. La présence simultanée du DAF et d'un décalage de la f0 a entraîné une réduction des effets du DAF par rapport à la condition sans décalage de la f0. Cette observation suggère une réduction du sens d'agentivité relatif à la voix chez les locutrices, ainsi qu’une interaction entre l'organisation rythmique et le sens d’agentivité dans les processus sensorimoteurs de production de la parole To adapt to unforeseen circumstances during speech production, the motor system integrates sensory information (e.g., auditory feedback) and benefits from rhythmic grouping, which is characterized by prosody. However, a speaker's sensorimotor system processes acoustic events related to their own voice differently from those of others. This thesis aims to examine the flexibility of speech production by analyzing the organizing role of both prosody and a speaker's subjective sensation of control over his voice (i.e., the sense of agency related to his voice).Experiments of auditory feedback perturbations were conducted with French-speaking female speakers. With delayed auditory feedback (DAF), the duration difference between accented and unaccented vowels increased, highlighting greater flexibility during accent production. Furthermore, DAF induced a reorganization of speech rhythm with enhanced syllabic grouping. With a constant shift in the fundamental frequency (f0) of auditory feedback, the majority of female speakers aligned their f0 with the modified auditory feedback, suggesting that their sensorimotor system processed the perceived voice as an external input. The simultaneous presence of DAF and an f0 shift resulted in a reduction of DAF effects compared to the condition without an f0 shift. This observation suggests a reduction in the sense of agency related to the voice among female speakers, as well as an interaction between rhythmic organization and sense of agency in sensorimotor processes of speech production
2
Houde, John Francis. "Sensorimotor adaptation in speech production." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10273.
MUKHERJEE, SANKAR. "Sensorimotor processes in speech listening and speech-based interaction." Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/941827.
The thesis deals with two extreme end of speech perception in cognitive neuroscience. On its
one end it deals with single isolated person brain responses to acoustic stimulus and missing
articulatory cues, and on the other end it explores the neural mechanisms emerging while
speech is embedded in a true conversational interaction. Studying these two extremities
requires the use of relatively different methodological approaches. In fact, the first approach
has seen the consolidation of a wide variety of experimental designs and analytical methods.
Otherwise, the investigation of speech brain processes during a conversation is still in its
early infancy and several technical and methodological challenges still needs to be solved. In
the present thesis, I will present one EEG study using a classical attentive speech listening
task, analyzed by using recent methodological advancement explicitly looking at the neural
entrainment to speech oscillatory properties. Then, I will report on the work I did to design a
robust speech-based interactive task, to extract acoustic and articulatory indexes of interaction, as well as the neural EEG correlates of its word-level dynamics. All in all, this work suggests
that motor processes play a critical role both in attentive speech listening and in guiding
mutual speech accomodation. In fact, the motor system, on one hand reconstruct information
that are missing in the sensory domain and on the other hand drives our implicit tendency to
adapt our speech production to the conversational partner and the interactive dynamics.
4
Greuel, Alison Jeanne. "Sensorimotor influences on speech perception in infancy." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50782.
The multisensory nature of speech, and in particular, the modulatory influence of one’s own articulators during speech processing, is well established in adults. However, the origins of the sensorimotor influence on auditory speech perception are largely unknown, and require the examination of a population in which a link between speech perception and speech production is not well-defined; by studying preverbal infant speech perception, such early links can be characterized. Across three experimental chapters, I provide evidence that articulatory information selectively affects the perception of speech sounds in preverbal infants, using both neuroimaging and behavioral measures. In Chapter 2, I use a looking time procedure to show that in 6-month-old infants, articulatory information can impede the perception of a consonant contrast when the related articulator is selectively impaired. In Chapter 3, I use the high-amplitude suck (HAS) procedure to show that neonates are able to discriminate and exhibit memory for the vowels /u/ and /i/; however, the information from the infants’ articulators (a rounded lip shape) seems to only marginally affect behavior during the learning of these vowel sounds. In Chapter 4, I co-register HAS with a neuroimaging technique – Near Infrared Spectroscopy (NIRS) – and identify underlying neural networks in newborn infants that are sensitive to the sensorimotor-auditory match, in that the vowel which matches the lip shape (/u/) is processed differently than the vowel that is not related to the lip shape (/i/). Together, the experiments reported in this dissertation suggest that even before infants gain control over their articulators and speak their first words, their sensorimotor systems are interacting with their perceptual systems as they process auditory speech information. Arts, Faculty of Psychology, Department of Graduate
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Vetter, Philipp. "Context estimation in sensorimotor control." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368950.
Turnham, Edward James Anthony. "Meta-learning in sensorimotor control." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610592.
Grabski, Krystyna. "Les cartes sensorimotrices de la parole : Corrélats neurocognitifs et couplage fonctionnel des systèmes de perception et de production des voyelles du Français." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00753249.
LES CARTES SENSORIMOTRICES DE LA PAROLE : Corrélats neurocognitifs et couplage fonctionnel des systèmes de perception et de production des voyelles du Français --- La parole est construite sur un jeu de correspondances entre représentations sensorielles et articulatoires, notamment lors de l'acquisition du langage les premières années de vie. Par l'utilisation de l'imagerie par résonance magnétique fonctionelle, l'objectif premier de nos travaux était de déterminer, chez l'adulte, un possible couplage fonctionnel des systèmes de perception et de production des voyelles du Français, considérées comme unités élémentaires de la parole. En parallèle, nos travaux devaient permettre de clarifier les structures cérébrales liées au contrôle moteur orofacial de mouvements simples supralaryngés et, à l'aide de la technique de stimulation magnétique transcrânienne, de déterminer une possible implication causale des régions sensorielles et motrices lors de la perception de la parole. Nos travaux ont permis de souligner l'implication des régions sensorielles et motrices aussi bien lors de la réalisation des gestes orofaciaux que lors de la production et de la perception des voyelles. La mise en évidence d'un effet d'adaptation pour ces régions motrices, auditives et somatosensorielles lors de l'écoute ou de la réalisation répétée d'une même voyelle ou d'un même geste suggère de plus l'existence de boucles sensorimotrices communes, impliquées dans des mécanismes adaptatifs de contrôle en ligne des gestes de parole perçus et produits. Enfin, nous avons pu démontrer le rôle causal et fonctionnel des régions sensorielles et motrices de la voie dorsale lors de la catégorisation de sons de parole. Pris ensemble, nos travaux soulignent la nature distribuée sensorimotrice des représentations cérébrales des unités de parole. Mots clés: perception et production de la parole, voyelles, contrôle moteur orofacial, interactions sensorimotrices, représentations et cartes neurocognitives, IRMf, TMS.
Bradley, Susanne. "Applications of machine learning in sensorimotor control." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54570.
There have been many recent advances in the simulation of biologically realistic systems, but controlling these systems remains a challenge. In this thesis, we focus on methods for learning to control these systems without prior knowledge of the dynamics of the system or its environment.
We present two algorithms. The first, designed for quasistatic systems, combines Gaussian process regression and stochastic gradient descent. By testing on a model of the human mid-face, we show that this combined method gives better control accuracy than either regression or gradient descent alone, and improves the efficiency of the optimization routine. The second addresses the trajectory-tracking problem for dynamical systems. Our method automatically learns the relationship between muscle activations and resulting movements. We also incorporate passive dynamics compensation and propose a novel gain-scheduling algorithm. Experiments performed on a model of the human index finger demonstrate that each component we add to the control formulation improves performance of fingertip precision tasks. Science, Faculty of Computer Science, Department of Graduate
Books on the topic "Sensorimotor control of speech":
1
Nowak, Dennis A., and Joachim Hermsdorfer, eds. Sensorimotor Control of Grasping. Cambridge: Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511581267.
Gandevia, Simon C., Uwe Proske, and Douglas G. Stuart, eds. Sensorimotor Control of Movement and Posture. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0713-0.
C, Gandevia Simon, Proske Uwe, and Stuart Douglas G, eds. Sensorimotor control of movement and posture. New York: Kluwer Academic/Plenum Publishers, 2002.
C, Gandevia Simon, Proske Uwe, and Stuart Douglas G, eds. Sensorimotor control of movement and posture. New York: Kluwer Academic/Plenum Publishers, 2002.
McDonald, Eugene T. Articulation testing and treatment: A sensorimotor, diagnostic teaching approach. Tucson, Ariz: Communication Skill Builders, 1989.
J, Glencross Denis, Piek Jan P, and Motor Control & Human Skill Research Workshop (2nd : 1993 : Mandurah, W.A.), eds. Motor control and sensory motor integration: Issues and directions. Amsterdam: Elsevier, 1995.
Staines, W. Richard, David A. E. Bolton, and William E. McIlroy. "Sensorimotor Control After Stroke." In The Behavioral Consequences of Stroke, 37–49. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7672-6_3.
Tresilian, James. "Introduction to Sensorimotor Learning." In Sensorimotor Control and Learning, 731–83. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_14.
Tresilian, James. "Motor Behavior and Control." In Sensorimotor Control and Learning, 3–37. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_1.
Tresilian, James. "Staying on Track." In Sensorimotor Control and Learning, 521–70. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_10.
Tresilian, James. "Programs and Pattern Generation in Voluntary Action." In Sensorimotor Control and Learning, 571–622. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_11.
Tresilian, James. "Aiming To Be Accurate." In Sensorimotor Control and Learning, 623–81. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_12.
Tresilian, James. "Sequences and Series." In Sensorimotor Control and Learning, 683–728. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_13.
Tresilian, James. "Learning by Doing." In Sensorimotor Control and Learning, 785–824. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-00511-3_15.
Conference papers on the topic "Sensorimotor control of speech":
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Perkell, Joseph S. "Sensorimotor control of speech production: models and data." In ExLing 2006: 1st Tutorial and Research Workshop on Experimental Linguistics. ExLing Society, 2019. http://dx.doi.org/10.36505/exling-2006/01/0007/000007.
Hermes, Anne, Jane Mertens, and Doris Mücke. "Age-related Effects on Sensorimotor Control of Speech Production." In Interspeech 2018. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-1233.
Mavridis, Nikolaos, and Haiwei Dong. "To ask or to sense? Planning to integrate speech and sensorimotor acts." In 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2012). IEEE, 2012. http://dx.doi.org/10.1109/icumt.2012.6459669.
Siriwardena, Yashish M., Guilhem Marion, and Shihab Shamma. "The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747358.
Bouchard, Kristofer E., Alejandro F. Bujan, Edward F. Chang, and Friedrich T. Sommer. "Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex." In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037645.
Nakahira, Yorie, Quanying Liu, Natalie Bernat, Terry Sejnowski, and John Doyle. "Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control." In 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814897.
Webb, B. "Sensorimotor control in insects and robots." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960733.
Jenson, David, David Thornton, Tim Saltuklaroglu, and Ashley Harkrider. "Speech perception, production, and the sensorimotor mu rhythm." In 2014 Annual Oak Ridge National Laboratory Biomedical Science and Engineering Center Conference (BSEC). IEEE, 2014. http://dx.doi.org/10.1109/bsec.2014.6867736.
Shiller, Douglas, Daniel Lametti, and David J. Ostry. "Auditory plasticity and sensorimotor learning in speech production." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4799848.
Reports on the topic "Sensorimotor control of speech":
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Beer, Randall D. Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada251567.
Beer, Randall D. Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada259120.
Redden, Elizabeth S., Christian B. Carstens, and Rodger A. Pettitt. Intuitive Speech-based Robotic Control. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada519652.
Bass, James D. Advancing Noise Robust Automatic Speech Recognition for Command and Control Applications. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada461436.
Pettitt, Rodger A., Christian B. Carstens, and Linda R. Elliott. Speech-Based Robotic Control for Dismounted Soldiers: Evaluation of Visual Display Options. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada601525.
Oran, D. Requirements for Distributed Control of Automatic Speech Recognition (ASR), Speaker Identification/Speaker Verification (SI/SV), and Text-to-Speech (TTS) Resources. RFC Editor, December 2005. http://dx.doi.org/10.17487/rfc4313.
Mongeau, Luc, Robert Bernhard, and Jeffery Feist. Noise Control And Speech Intelligibility Improvement Of A Toll PlazaImprovement Of A Toll Plaza. West Lafayette, IN: Purdue University, 2002. http://dx.doi.org/10.5703/1288284313280.
Larina, E. Speech therapy examination of children with impaired violation disorder, rate of speech, stutterinq: еducational methodical manual. SIB-Expertise, December 2022. http://dx.doi.org/10.12731/er0662.15122022.
Еducational methodical manual guide is intended for full-time and part-time students enrolled in special (defectological) education 44.03.03, training profile Speech therapy. The manual consists of theer sections, they contain a description of the sequence of stages of speech therapy examination of children with violation disorder, rate of speech, stutterinq, the structure of drawing up a speech therapy opinion, a summary on the topic, questions and control tasks for independent work, a list of references and a glossary. The educational-methodical is intended for students of the defectology department of the university, practicing speech therapists, specialists in the field of speech pathology.
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Kapelyushnyi, Anatolyi. Феноменологічний інструментарій ефективності девіатологічного контролювання впливу телевізійного тексту на формування емоційного тонусу суспільства. Ivan Franko National University of Lviv, March 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11740.
Main objectives of the study are the phenomenological tools of the effectiveness of deviatological control of the influence of television text on the formation of emotional tone of society. Particular attention is paid to the additional emotional meanings that arise when speaking live due to lack of time to understand them. Because of this, emotional nuances, and often the emotional background in general, arise involuntarily, against the wishes of the author. Emphasis is placed on making appropriate recommendations to TV journalists. During the Russian aggression in the Ukrainian media, the responsibility for maintaining the proper emotional tone of society is growing. Television plays an important role in Ukraine in this regard. Deviatological control of society is weakened, so more attention should be paid to professional organizations. Since we are talking about the effectiveness of deviatological control of the influence of television text on the formation of emotional tone of society, we must first keep in mind the phenomenological tools of this influence. Recently, phenomenological tools have been used more and more often during the analysis of journalistic texts in terms of the effectiveness of their impact on the mass audience. The methods of phenomenology prove to be the most effective when it comes to various aspects of spontaneous speech, which is represented in the mass media by live television broadcasting. Additional emotional meanings arise when speaking live because of the lack of time to understand them. Because of this, emotional nuances, and often in general the emotional background, which consists, at first glance, it is unknown what, arises involuntarily, against the wishes of the author. Most often, so involuntarily and contrary to out of nowhere negative color and negative emotional background. Thus, it is not a question of creating a positive emotional background in society. Even more, it is not even about an emotionally neutral perception of reality with elements of objectivity. Everything is extremely bad in our house and in the world. Results/findings and conclusions of my research: in order to improve live broadcasting, such application of phenomenological methods in the evaluation of the text from a deviatological point of view should take place at an early stage, and may precede it (the text) utterance. Key words: television, live broadcast, TV journalist, broadcast of television journalists, phenomenological tools, deviatological control, emotional tone of society.
