Journal articles: 'Speech control'

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Malik, Maleiha. "Speech Control." Index on Censorship 36, no. 4 (November 2007): 18–21. http://dx.doi.org/10.1080/03064220701741606.

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Kuriki, Shigeya. "Speech control circuit." Journal of the Acoustical Society of America 80, no. 1 (July 1986): 368. http://dx.doi.org/10.1121/1.394114.

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Mitani, Tokiyoshi. "Speech control circuit." Journal of the Acoustical Society of America 83, no. 3 (March 1988): 1215. http://dx.doi.org/10.1121/1.395963.

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Löfgvist, Anders, and Björn Lindblom. "Speech motor control." Current Opinion in Neurobiology 4, no. 6 (December 1994): 823–26. http://dx.doi.org/10.1016/0959-4388(94)90129-5.

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Leeper, H. A. "Speech Motor Control and Predicting Disordered Speech." Perspectives on Speech Science and Orofacial Disorders 9, no. 1 (November 1999): 3–6. http://dx.doi.org/10.1044/ssod9.1.3.

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Abstract There are numerous theories of speech production that focus on motor control for regulation of speech output. One of the more prominent is the “pressure regulation-control” model that was developed from studies of the aerodynamic speech activities of normal speakers and individuals with cleft lip and palate and accompanying resonance and speech disorders. This theory aid in understanding the nature of maladaptive speech production related to velopharyngeal inadequacy (VPI). Descriptions of experimental research will be employed to relate this theory to effective strategies of speech management for individuals with VPI.

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Löfqvist, Anders. "Speech Motor Control-Laryngeal Function in Speech-." Japan Journal of Logopedics and Phoniatrics 45, no. 4 (2004): 290–91. http://dx.doi.org/10.5112/jjlp.45.290.

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Dai, Liwei, Rich Goldman, Andrew Sears, and Jeremy Lozier. "Speech-based cursor control." ACM SIGACCESS Accessibility and Computing, no. 77-78 (September 2003): 94–101. http://dx.doi.org/10.1145/1029014.1028648.

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Judge, Simon, Zoë Robertson, and Mark Hawley. "The limitations of speech control: perceptions of provision of speech‐driven environmental controls." Journal of Assistive Technologies 5, no. 1 (March 18, 2011): 4–11. http://dx.doi.org/10.5042/jat.2011.0096.

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Špale, Jiří, and Cedric Schweizer. "Speech Control of Measurement Devices." IFAC-PapersOnLine 49, no. 25 (2016): 13–18. http://dx.doi.org/10.1016/j.ifacol.2016.12.003.

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Malik, H., S. Darma, and S. Soekirno. "Quadcopter Control Using Speech Recognition." Journal of Physics: Conference Series 1011 (April 2018): 012049. http://dx.doi.org/10.1088/1742-6596/1011/1/012049.

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Saikachi, Yoko, Kenneth Stevens, and Robert Hillman. "F0 control in electrolarynx speech." Journal of the Acoustical Society of America 124, no. 4 (October 2008): 2519. http://dx.doi.org/10.1121/1.4782949.

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Pinckley, Danny T. "Speech selective automatic gain control." Journal of the Acoustical Society of America 95, no. 3 (March 1994): 1705. http://dx.doi.org/10.1121/1.408500.

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Dowling, Kevin J., and George G. Mueller. "Lighting control using speech recognition." Journal of the Acoustical Society of America 122, no. 1 (2007): 32. http://dx.doi.org/10.1121/1.2756500.

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Yang, Yu Xiang, and Jian Fen Ma. "Speech Intelligibility Enhancement Using Distortion Control." Advanced Materials Research 912-914 (April 2014): 1391–94. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1391.

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In order to improve the intelligibility of the noisy speech, a novel speech enhancement algorithm using distortion control is proposed. The reason why current speech enhancement algorithm cannot improve speech intelligibility is that these algorithms aim to minimize the overall distortion of the enhanced speech. However, different speech distortions make different contributions to the speech intelligibility. The distortion in excess of 6.02dB has the most detrimental effects on speech intelligibility. In the process of noise reduction, the type of speech distortion can be determined by signal distortion ratio. The distortion in excess of 6.02dB can be properly controlled via tuning the gain function of the speech enhancement algorithm. The experiment results show that the proposed algorithm can improve the intelligibility of the noisy speech considerably.

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Pastryk, Tetyana, Olena Kotys, Nataliia Dyachuk, and Volodymyr Milinchuk. "Conscious Control in Speech Pathology and Speech Rehabilitation Following Stroke." East European Journal of Psycholinguistics 6, no. 2 (December 27, 2019): 89–97. http://dx.doi.org/10.29038/eejpl.2019.6.2.pas.

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The article presents results of the research conducted in speech rehabilitation period of patients after stroke. The study aims to identify conscious control in speech rehabilitation period of the patients who were diagnosed to have Broca’s aphasia. A sample of 22 patients with Broca’s aphasia, or efferent motor aphasia (Luria, 2004) in the left hemisphere, who stayed at the Volyn Regional Clinical Hospital (Lutsk, Ukraine) during rehabilitation period, was approached through purposeful sampling method for this research. The non-laboratory measure of speech assessment was administered along with demographic data. Results showed that conscious control that usually remains in this group of people plays a crucial role in psychological intervention. The article also discusses the main neuropsycholinguistic principles that help to utilize the potential of conscious control in the process of speech rehabilitation of the patients after stroke. References Лурия А.Р. Лекции по общей психологии. СПб.: Питер, 2004. Мілінчук В. І., Засєкіна Л. В. Нейропсихолінгвістичний підхід до дослідження мовлення пацієнтів після інсульту // Актуальні проблеми практичної психології. Ч. І. 2010. С. 143-146. Мілінчук В. І. Вплив емоційних станів на мовленнєву діяльність пацієнтів після інсульту // Психологічні перспективи. Вип. 15. 2010. С. 207-218. Хомская Е. Д. Нейропсихология. СПб.: Питер, 2005. Шохор-Троцкая М. К. Речь и афазия. М.: Изд-во ЭКСМО-Пресс, 2001. Brown C., Hagoort P. (2003). The Neurocognition of Language. Oxford: Oxford University Press. Hauk, O, Johnsrude, I., & Pulvermüller, F. (2004). Somatotopic representation of action words in motor and premotor cortex. Neuron, 41, 301-307. Kohno, M. (2007). Two neural clocks: humans’ innate temporal systems for spoken language processing. In: J. Arabski, Ed. Challenging Tasks for Psycholinguistics in the New Century. (pp. 283-292). Katowice: University of Silesia. Marshall, J. (2000a). Speech and language problems following stroke In: R. Fawcus, Ed. Stroke Rehabilitation. (pp. 113-129). Oxford: Blackwell. Marshall J. (2000b). The treatment of speech and language disorders following stroke. In: R. Fawcus, Ed. Stroke Rehabilitation. (pp. 130-146). Oxford: Blackwell. Northoff, G. (2003). Philosophy of the Brain. Boston: Harvard University. Pulvermüller, F. (2002). The Neuroscience of Language. On Brain Circuits of Words and Serial Order. Cambridge: Cambridge University Press. Pulvermüller, F., Berthier, M. L. (2008). Aphasia therapy on a neuroscience basis. Aphasiology, 22(6), 563–599. References (translated and transliterated) Luria, R. (2004). Lektsii po Obschey Psikhologii [Lectures on General Psychology]. S.-Petersburg: Piter. Milinchuk, V., Zasiekina, L. (2010). Neuropsycholinhvistycgbyi pidhid do doslidzhennia movlennia patsientiv pislia insultu [Neuropsycholinguistic approach to the study of patients after stroke]. Aktualni Problemy Praktychnoi Psykholohii, 1, 143-146. Milinchuk, V. (2010). Vplyv emotsiinykh staniv na movlennevu diyalnist patsientiv pislia insultu. Psyholohichni Perspectyvy – Psychological Prospects, 15, 207-218. Khomskaya, Y. (2005). Neuropsihologiia [Neuropsychology]. S.-Petersburg: Piter. Shohor-Trotskaya, M. (2001). Rech I Afaziya [Speech and Aphasia]. Moscow: Eksmo-Press. Brown C., Hagoort P. (2003). The Neurocognition of Language. Oxford: Oxford University Press. Hauk, O, Johnsrude, I., & Pulvermüller, F. (2004). Somatotopic representation of action words in motor and premotor cortex. Neuron, 41, 301-307. Kohno, M. (2007). Two neural clocks: humans’ innate temporal systems for spoken language processing. In: J. Arabski, Ed. Challenging Tasks for Psycholinguistics in the New Century. (pp. 283-292). Katowice: University of Silesia. Marshall, J. (2000a). Speech and language problems following stroke In: R. Fawcus, Ed. Stroke Rehabilitation. (pp. 113-129). Oxford: Blackwell. Marshall J. (2000b). The treatment of speech and language disorders following stroke. In: R. Fawcus, Ed. Stroke Rehabilitation. (pp. 130-146). Oxford: Blackwell. Northoff, G. (2003). Philosophy of the Brain. Boston: Harvard University. Pulvermüller, F. (2002). The Neuroscience of Language. On Brain Circuits of Words and Serial Order. Cambridge: Cambridge University Press. Pulvermüller, F., Berthier, M. L. (2008). Aphasia therapy on a neuroscience basis. Aphasiology, 22(6), 563–599.

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Namasivayam, Aravind Kumar, Margit Pukonen, Debra Goshulak, Vickie Y. Yu, Darren S. Kadis, Robert Kroll, Elizabeth W. Pang, and Luc F. De Nil. "Relationship between speech motor control and speech intelligibility in children with speech sound disorders." Journal of Communication Disorders 46, no. 3 (May 2013): 264–80. http://dx.doi.org/10.1016/j.jcomdis.2013.02.003.

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17

de Boer, Bart. "Evolution of Speech: Anatomy and Control." Journal of Speech, Language, and Hearing Research 62, no. 8S (August 29, 2019): 2932–45. http://dx.doi.org/10.1044/2019_jslhr-s-csmc7-18-0293.

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Purpose This article critically reviews work on the evolution of speech in the context of motor control. It presents a brief introduction to the field of language evolution, of which the study of the evolution of speech is an integral component, and argues why taking the evolutionary perspective is useful. It then proceeds to review different methods of studying evolutionary questions: comparative research, experimental and observational research, and computer and mathematical modeling. Conclusions On the basis of comparative analysis of related species (specifically, other great apes) and on the basis of theoretical results, this article argues that adaptations for speech must have evolved gradually and that it is likely that speech motor control is one of the key aspects that has undergone observable selection related to speech, because, in this area, all the necessary precursors are present in closely related species. This implies that it must be possible to find empirical evidence for how speech evolved in the area of speech motor control. However, such research is only in its infancy at the present moment.

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Perrier, Pascal. "Control and representations in speech production." ZAS Papers in Linguistics 40 (January 1, 2005): 109–32. http://dx.doi.org/10.21248/zaspil.40.2005.261.

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In this paper the issue of the nature of the representations of the speech production task in the speaker's brain is addressed in a production-perception interaction framework. Since speech is produced to be perceived, it is hypothesized that its production is associated for the speaker with the generation of specific physical characteristics that are for the listeners the objects of speech perception. Hence, in the first part of the paper, four reference theories of speech perception are presented, in order to guide and to constrain the search for possible correlates of the speech production task in the physical space: the Acoustic Invariance Theory, the Adaptive Variability Theory, the Motor Theory and the Direct-Realist Theory. Possible interpretations of these theories in terms of representations of the speech production task are proposed and analyzed. In a second part, a few selected experimental studies are presented, which shed some light on this issue. In the conclusion, on the basis of the joint analysis of theoretical and experimental aspects presented in the paper, it is proposed that representations of the speech production task are multimodal, and that a hierarchy exists among the different modalities, the acoustic modality having the highest level of priority. It is also suggested that these representations are not associated with invariant characteristics, but with regions of the acoustic, orosensory and motor control spaces.

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Smith, Anne. "The Control of Orofacial Movements in Speech." Critical Reviews in Oral Biology & Medicine 3, no. 3 (April 1992): 233–67. http://dx.doi.org/10.1177/10454411920030030401.

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Rapid, complex movements of orofacial structures are essential to produce the sounds of speech. A central problem in speech production research is to discover the neural sources that generate the control signals supplied to motoneurons during speaking. Speech movement production appears to share organizational principles with other motor behaviors; thus speech movements probably arise from an interaction of centrally generated command signals with sensory information. That speech movements are ultimately linked to the perception of language, however, has led many investigators to suggest that speech movement control involves unique features, features that may be linked to abstract linguistic units.

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SON, G., S. KWON, and Y. LIM. "Speech Rate Control for Improving Elderly Speech Recognition of Smart Devices." Advances in Electrical and Computer Engineering 17, no. 2 (2017): 79–84. http://dx.doi.org/10.4316/aece.2017.02011.

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Klabbers, Esther A., Taniya Mishra, and Jan P. H. van Santen. "Recombinant speech synthesis: Natural text-to-speech synthesis with prosodic control." Journal of the Acoustical Society of America 126, no. 4 (2009): 2205. http://dx.doi.org/10.1121/1.3248655.

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Lee, Chong R., and Yong K. Park. "Speech segment coding and pitch control methods for speech synthesis systems." Journal of the Acoustical Society of America 102, no. 6 (1997): 3251. http://dx.doi.org/10.1121/1.420238.

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Hodes, W. William. "Letters: Speech Rights and Governmental Control." Academe 81, no. 4 (1995): 3. http://dx.doi.org/10.2307/40251498.

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Yu, Deok-Jae, Beom-Hee Lee, Yeo-Jung Jeon, Seon-Ju Lee, Hye-Kyung Park, and Kug Won Kim. "Prosthetic Hand Control Using Speech Recognition." Transactions of the KSME C Industrial Technology and Innovation 7, no. 3 (December 31, 2019): 149–55. http://dx.doi.org/10.3795/ksme-c.2019.7.3.149.

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Löfqvist, Anders. "Proportional timing in speech motor control." Journal of Phonetics 19, no. 3-4 (July 1991): 343–50. http://dx.doi.org/10.1016/s0095-4470(19)30326-2.

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Fegan, D. J., and H. M. Grimley. "Electronic speech synthesis with microcomputer control." American Journal of Physics 53, no. 11 (November 1985): 1075–78. http://dx.doi.org/10.1119/1.14035.

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Chu, Shin Ying, and Steven M. Barlow. "Orofacial Biomechanics and Speech Motor Control." Perspectives on Speech Science and Orofacial Disorders 19, no. 1 (July 2009): 37–43. http://dx.doi.org/10.1044/ssod19.1.37.

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Abstract The mechanical properties (e.g., mass, stiffness, viscoelasticity) of bone, cartilage, muscle, tendon, ligament, fat, and skin among articulatory subsystems involved in speech and gesture collectively influence all aspects of movement and must be accounted for in the selection and sequencing of motor program elements. Damage or disease processes affecting peripheral or central nervous system function, or both, can affect muscle coordination and alter muscle stiffness. Therefore, the biomechanics of orofacial and vocal tract structures should be taken into account when considering the movement patterns and network signaling in the neuromotor control system in health and disease. The purpose of this report is to summarize our evolving approach to and application of orofacial biomechanics in the context of movement disorders associated with dysarthria and craniofacial anomalies. We describe a new application for mapping stiffness in the lips for clinical application in pediatric and adult populations.

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McNeill, Iain, and Robert M. Khamashta. "Intelligibility control for speech communications systems." Journal of the Acoustical Society of America 125, no. 5 (2009): 3479. http://dx.doi.org/10.1121/1.3139545.

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Kondo, Kazuhiro, and Kiyoshi Nakagawa. "Speech emission control using active cancellation." Speech Communication 49, no. 9 (September 2007): 687–96. http://dx.doi.org/10.1016/j.specom.2007.04.010.

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Manoharan, R., K. Vivekanandan, N. Selvi, and A. Somasundarm. "Waste Control By Using Speech Technologies." i-manager's Journal on Future Engineering and Technology 5, no. 4 (July 15, 2010): 7–12. http://dx.doi.org/10.26634/jfet.5.4.1264.

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Tarasiuk, Mirosław, and Zdzisław Gosiewski. "Speech processing work for mechatronics control." Mechanik, no. 7 (July 2015): 572–75. http://dx.doi.org/10.17814/mechanik.2015.7.329.

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彭, 龑. "A Specific Speech Control Home System." Computer Science and Application 07, no. 10 (2017): 935–43. http://dx.doi.org/10.12677/csa.2017.710106.

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Fuertinger, Stefan, Barry Horwitz, and Kristina Simonyan. "The Functional Connectome of Speech Control." PLOS Biology 13, no. 7 (July 23, 2015): e1002209. http://dx.doi.org/10.1371/journal.pbio.1002209.

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Ham, Richard E. "Unison speech and rate control therapy." Journal of Fluency Disorders 13, no. 2 (April 1988): 115–26. http://dx.doi.org/10.1016/0094-730x(88)90033-2.

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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.

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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’.

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Denny, Margaret, and Anne Smith. "Respiratory Control in Stuttering Speakers." Journal of Speech, Language, and Hearing Research 43, no. 4 (August 2000): 1024–37. http://dx.doi.org/10.1044/jslhr.4304.1024.

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This study tested the hypothesis that, in stuttering speakers, relations between the neural control systems for speech and life support, or metabolic breathing, may differ from relations previously observed in normally fluent subjects. Bilaterally coherent high-frequency oscillations in inspiratory-related EMGs, measured as maximum coherence in the frequency band of 60–110 Hz (MC-HFO), were used as indicators of participation by the brainstem controller for metabolic breathing in 10 normally fluent and 10 stuttering speakers. In all controls and most stuttering subjects, MC-HFO for speech was higher than or comparable to MC-HFO for deep breathing. For 4 stuttering subjects, higher MC-HFO was observed for speech than for deep breathing. Comparison of deep breathing to a speechlike breathing task yielded similar results. No relationship between MC-HFO during speech and severity of disfluency was observed. We conclude that in some stuttering speakers, the relations between respiratory controllers are atypical, but that high participation by the HFO-producing circuitry in the brainstem during speech is not sufficient to disrupt fluency.

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Kushida, Akihiro, and Tetsuo Kosaka. "Speech recognition system, speech recognition server, speech recognition client, their control method, and computer readable memory." Journal of the Acoustical Society of America 121, no. 3 (2007): 1290. http://dx.doi.org/10.1121/1.2720066.

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Vidulich, Michael A., and Michael R. Bortolussi. "A Dissociation of Objective and Subjective Workload Measures in Assessing the Impact of Speech Controls in Advanced Helicopters." Proceedings of the Human Factors Society Annual Meeting 32, no. 19 (October 1988): 1471–75. http://dx.doi.org/10.1177/154193128803201935.

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Among the new technologies that are expected to aid helicopter designers are speech controls. Proponents suggest that speech controls could reduce the potential for manual control overloads and improve timesharing performance in environments that have heavy demands for manual control. This was tested in a simulation of an advanced single-pilot, scout/attack helicopter. Objective performance indicated that the speech controls were effective in decreasing the interference of discrete responses during moments of heavy flight control activity. However, subjective ratings indicated that the use of speech controls required extra effort to speak precisely and to attend to feedback. Although the operational reliability of speech controls must be improved, the present results indicate that reliable speech controls could enhance the time-sharing efficiency of helicopter pilots. Furthermore, the results demonstrated the importance of using multiple assessment techniques to completely assess a task. Neither the objective nor the subjective measures alone provided complete information. It was the contrast between the measures that was most informative.

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Marshall, Robert C., and Colleen M. Karow. "Retrospective Examination of Failed Rate-Control Intervention." American Journal of Speech-Language Pathology 11, no. 1 (February 2002): 3–16. http://dx.doi.org/10.1044/1058-0360(2002/002).

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Individuals with motor-speech disorders are frequently admonished by clinicians to "slow down" to improve speech intelligibility and comprehensibility. Although most reports of rate-control therapy highlight the benefits of specific procedures, all patients are not candidates for these interventions. The subject of this clinical report is AC, a 40-year-old man who had spoken with an extremely rapid speech rate for 17 years following a traumatic brain injury but was never treated for the problem. Traditional rate-control interventions were not effective in slowing AC's speech rate nor in reducing its handicapping effects. In this report we supply background information on AC; initial assessment data from speech- language pathology, neurology, and neuropsychology; and describe rate-control interventions that were not effective with AC. A retrospective examination of this case was conducted to elucidate possible reasons why treatment was unsuccessful. This involved (a) an instrumental assessment of selected features of AC's speech rate (using equipment not available for the initial evaluation) and (b) a reinterpretation of other assessment information. Findings revealed how AC's speech differed from that of a normally speaking control subject and other normative data and provided insights on how he accomplished his rapid speech rate. This prompted us to consider (a) possible explanations for AC's fast rate, (b) reasons for failed rate-control intervention, and (c) what we learned from this case that would be useful to clinicians in management of similar patients.

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Yoda, Shoutarou. "Control using multiple speech receptors in an in-vehicle speech recognition system." Journal of the Acoustical Society of America 121, no. 5 (2007): 2493. http://dx.doi.org/10.1121/1.2739196.

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Schönle, P. W., G. Hong, R. Benecke, and B. Conrad. "Aspects of speech motor control: Programing of repetitive versus non-repetitive speech." Neuroscience Letters 63, no. 2 (January 1986): 170–74. http://dx.doi.org/10.1016/0304-3940(86)90056-x.

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Sklizmantaitė, Rasa, and Aleksandras Velička. "The Control Priorities of Foreignlanguages Teaching." Coactivity: Philology, Educology 15, no. 4 (April 15, 2011): 131–35. http://dx.doi.org/10.3846/coactivity.2007.43.

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The same structure is characteristic to the language learning process as well as to every activity. It consists of: 1) the purpose on the basis of motivation; 2) fulfilment; 3) control on the basis of feedback. The article presents the problems connected with the teaching process control. Some kinds of control are described. The objects of control should be definite speech items (lexis, morphology, syntax, phonetics) and all four speech activities. The degree of skills development is the index of student’s speech competence.

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Gracco, Vincent L. "Some Organizational Characteristics of Speech Movement Control." Journal of Speech, Language, and Hearing Research 37, no. 1 (February 1994): 4–27. http://dx.doi.org/10.1044/jshr.3701.04.

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The neuromotor organization for a class of speech sounds (bilabials) was examined to evaluate the control principles underlying speech as a sensorimotor process. Oral opening and closing actions for the consonants /p/, /b/, and /m/ (C1) in /s V1 C1 V2 C2/ context, where V1 was either /ae/ or /i/, V2 was /ae/, and C2 was /p/, were analyzed from 4 subjects. The timing of oral opening and closing action was found to be a significant variable differentiating bilabial consonants. Additionally, opening and closing actions were found to covary along a number of dimensions implicating the movement cycle as the minimal unit of speech motor programming. The sequential adjustments of the lips and jaw varied systematically with phonetic context reflecting the different functional roles of these articulators in the production of consonants and vowels. The implication of these findings for speech production is discussed.

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Grigos, Maria I., Étoile LeBlanc, Christina Hagedorn, J. Rodrigo Diaz-Siso, Natalie Plana, and Eduardo D. Rodriguez. "Changes in Articulatory Control Pre– and Post–Facial Transplant: A Case Report." Journal of Speech, Language, and Hearing Research 62, no. 2 (February 26, 2019): 297–306. http://dx.doi.org/10.1044/2018_jslhr-s-18-0147.

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Purpose Facial transplantation involves partial or total replacement of neuromuscular and skeletal structures of the face, head, and neck using donor tissues and is among the most extensive facial reconstructive procedures. This case report compares changes in speech production and articulator movement in a 44-year-old man from pretransplant to a 13-month posttransplant period. Method Speech production and articulator movement data were examined at 5 time points, once pretransplant and 4 times posttransplant (4, 7, 10, and 13 months), and compared to 4 healthy controls. A motion capture system was used to track jaw and vertical/horizontal lip movement during nonspeech and speech tasks. Speech intelligibility, jaw displacement, lip aperture, and movement variability were measured. Results Speech intelligibility varied across the study period and was restored to control status by 7 months posttransplant. Jaw displacement and lip aperture in the vertical plane significantly increased over time for nonspeech and speech tasks. Changes in horizontal lip movements over time were minimal. Jaw and lip movement variability fluctuated over time and was greater than the controls by 13 months posttransplant. Discussion Findings quantify changes in articulator movement and contributions to improved speech production following facial transplant. Changes reflect the adaptability of the speech motor system and are discussed in relation to pretransplant speech motor control patterns.

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Hirose, Hajime. "Prosodic Control of Speech-Some Physiological Considerations." Koutou (THE LARYNX JAPAN) 1, no. 2 (1989): 105–10. http://dx.doi.org/10.5426/larynx1989.1.2_105.

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Wei, Zheng Xi, and Jin Ming Liang. "Access Control System Based on Speech Recognition." Applied Mechanics and Materials 241-244 (December 2012): 1668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1668.

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Abstract:

In this paper, an embedded design method is presented for the access control system in the intelligent community, combining its characteristics of the application. Using speech recognition technology, intelligent community can control access more timely, conveniently, effectively, and save a lot of manpower. The experimental results show that the correct recognition rate of voice command is up to 92% or more. The access control system can be widely used in various kinds of intelligent buildings, with a good prospect.

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Hofer, Dominik P., and Felix Strohmeier. "Multilingual speech control for ROS-driven robots." e & i Elektrotechnik und Informationstechnik 136, no. 7 (October 16, 2019): 334–40. http://dx.doi.org/10.1007/s00502-019-00739-y.

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Larson, Charles R. "Cross-modality influences in speech motor control." Journal of Communication Disorders 31, no. 6 (November 1998): 489–503. http://dx.doi.org/10.1016/s0021-9924(98)00021-5.

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Lung, Vu Duc, Phan Dinh Duy, Nguyen Vo An Phu, Nguyen Hoang Long, and Truong Nguyen Vu. "Speech Recognition in Human-Computer Interactive Control." Journal of Automation and Control Engineering 1, no. 3 (2013): 222–26. http://dx.doi.org/10.12720/joace.1.3.222-226.

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Ohya, Tomoyuki. "Speech signal transmission method providing for control." Journal of the Acoustical Society of America 101, no. 6 (June 1997): 3236. http://dx.doi.org/10.1121/1.418284.

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Journal articles on the topic 'Speech control'

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