Journal articles: 'VOICE CONTROL'

1

Haag, Andreas. "VOICE CONTROL WITH SEMANTIC VOICE RECOGNITION." ATZelektronik worldwide 7, no. 6 (October 2012): 50–53. http://dx.doi.org/10.1365/s38314-012-0136-8.

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Dujartin, J. Antony, B. Vinoth Kumar, and K. Kamala Kanan E. Mukesh Mr P. Devendran. "Autonomous Voice Control Pick and Place Rover." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 2427–31. http://dx.doi.org/10.31142/ijtsrd12777.

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Grillo, Elizabeth U. "A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App." American Journal of Speech-Language Pathology 30, no. 2 (March 26, 2021): 566–83. http://dx.doi.org/10.1044/2020_ajslp-20-00200.

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Purpose This study investigated the effects of the in-person and telepractice Global Voice Prevention and Therapy Model (GVPTM) treatment conditions and a control condition with vocally healthy student teachers. Method In this single-blinded, nonrandomized trial, 82 participants completed all aspects of the study. Estill Voice Training was used as the stimulability component of the GVPTM to train multiple new voices meeting all the vocal needs of the student teachers. Outcomes were assessed using acoustic, perceptual, and aerodynamic measures captured by the VoiceEvalU8 app at pre and post in fall and during student teaching in spring. Results Significant improvements were achieved for several acoustic and perceptual measures in the treatment conditions, but not in the control condition. The in-person and telepractice conditions produced similar results. The all-voiced phrase and connected speech were more successful in demonstrating voice change for some of the perturbation measures as compared to sustained /a/. Conclusions The treatment conditions were successful in improving the participants' voices for fundamental frequency and some acoustic perturbation measures while maintaining the improvements during student teaching. In addition, the treatment conditions were successful in decreasing the negative impact of voice-related quality of life and vocal fatigue during student teaching. Future research should address the effectiveness of the various components of the GVPTM, the application of the GVPTM with patients with voice disorders, the relevance of defining auditory–perceptual terms by the anatomy and physiology of the voice production system (i.e., Estill Voice Training), and the continued use of the VoiceEvalU8 app for clinical voice investigations. Supplemental Material https://doi.org/10.23641/asha.13626824

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Cartei, Valentina, Jane Oakhill, Alan Garnham, Robin Banerjee, and David Reby. "“This Is What a Mechanic Sounds Like”: Children’s Vocal Control Reveals Implicit Occupational Stereotypes." Psychological Science 31, no. 8 (July 8, 2020): 957–67. http://dx.doi.org/10.1177/0956797620929297.

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In this study, we explored the use of variation in sex-related cues of the voice to investigate implicit occupational stereotyping in children. Eighty-two children between the ages of 5 and 10 years took part in an imitation task in which they were provided with descriptions of nine occupations (three traditionally male, three traditionally female, and three gender-neutral professions) and asked to give voices to them (e.g., “How would a mechanic say . . . ?”). Overall, children adapted their voices to conform to gender-stereotyped expectations by masculinizing (lowering voice pitch and resonance) and feminizing (raising voice pitch and resonance) their voices for the traditionally male and female occupations, respectively. The magnitude of these shifts increased with age, particularly in boys, and was not mediated by children’s explicit stereotyping of the same occupations. We conclude by proposing a simple tool based on voice pitch for assessing levels of implicit occupational-gender stereotyping in children.

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DESCHLER, DANIEL G., E. THOMAS DOHERTY, CHARLES G. REED, and MARK I. SINGER. "Quantitative and Qualitative Analysis of Tracheoesophageal Voice after Pectoralis Major Flap Reconstruction of the Neopharynx." Otolaryngology–Head and Neck Surgery 118, no. 6 (June 1998): 771–76. http://dx.doi.org/10.1016/s0194-5998(98)70267-0.

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Although tracheoesophageal voice restoration is accepted after reconstruction of the neopharynx with the pectoralis major myocutaneous flap, the character of such voice is not well described. Six patients reconstructed with the pectoralis major flap after laryngopharyngectomy underwent successful voice restoration with the Blom-Singer prosthesis. Voice was evaluated by a standardized protocol and compared with voices of control subjects treated with total laryngectomy and similar voice restoration. The patients with pectoralis major flaps produced similar intensity levels for soft voice (53.7 dB vs. 55.6 dB) and loud voice (61.3 dB vs. 65.3 dB) when compared with controls ( p > 0.05). No significant differences ( p > 0.05) were noted for fundamental frequency (F0) between patients with pectoralis major flaps and controls for soft (62.3 Hz vs. 85.4 Hz) and loud (109.8 Hz vs. 133.8 Hz) voice. Jitter was also comparable. Trained and naive listeners completed qualitative analyses for 10 parameters and judged that control patients had significantly better voice for most parameters. This finding demonstrates that dependable voice is attainable after pectoralis major flap reconstruction of the neopharynx. Although this voice does not differ significantly from voice after standard laryngectomy for acoustic parameters, perceptual analysis does reveal significant differences. (Otolaryngol Head Neck Surg 1998;118:771-6.)

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Baruch, Amit. "Voice control system with multiple voice recognition engines." Journal of the Acoustical Society of America 122, no. 3 (2007): 1322. http://dx.doi.org/10.1121/1.2781465.

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Reed, John D. "Remote voice control system." Journal of the Acoustical Society of America 98, no. 2 (August 1995): 689. http://dx.doi.org/10.1121/1.413556.

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Sjögren, Karin, Emmma Ström, and Anders Lofqvist. "Control of voice intensity." Journal of the Acoustical Society of America 134, no. 5 (November 2013): 4205. http://dx.doi.org/10.1121/1.4831437.

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Knittel, Guenter. "Voice-operated remote control." Journal of the Acoustical Society of America 115, no. 2 (2004): 459. http://dx.doi.org/10.1121/1.1669318.

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Aiello, Demetrio, Bernhard Kämmerer, and Wolfgang Sitter. "Voice control in automobiles." ATZelektronik worldwide 1, no. 2 (June 2006): 2–5. http://dx.doi.org/10.1007/bf03242078.

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11

Alonso, Agustin, Víctor García, Inma Hernaez, Eva Navas, and Jon Sanchez. "Automatic Classification of Synthetic Voices for Voice Banking Using Objective Measures." Applied Sciences 12, no. 5 (February 27, 2022): 2473. http://dx.doi.org/10.3390/app12052473.

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Speech is the most common way of communication among humans. People who cannot communicate through speech due to partial of total loss of the voice can benefit from Alternative and Augmentative Communication devices and Text to Speech technology. One problem of using these technologies is that the included synthetic voices might be impersonal and badly adapted to the user in terms of age, accent or even gender. In this context, the use of synthetic voices from voice banking systems is an attractive alternative. New voices can be obtained applying adaptation techniques using recordings from people with healthy voice (donors) or from the user himself/herself before losing his/her own voice. In this way, the goal is to offer a wide voice catalog to potential users. However, as there is no control over the recording or the adaptation processes, some method to control the final quality of the voice is needed. We present the work developed to automatically select the best synthetic voices using a set of objective measures and a subjective Mean Opinion Score evaluation. A prediction algorithm of the MOS has been build which correlates similarly to the most correlated individual measure.

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Abrams, Daniel A., Tianwen Chen, Paola Odriozola, Katherine M. Cheng, Amanda E. Baker, Aarthi Padmanabhan, Srikanth Ryali, John Kochalka, Carl Feinstein, and Vinod Menon. "Neural circuits underlying mother’s voice perception predict social communication abilities in children." Proceedings of the National Academy of Sciences 113, no. 22 (May 16, 2016): 6295–300. http://dx.doi.org/10.1073/pnas.1602948113.

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The human voice is a critical social cue, and listeners are extremely sensitive to the voices in their environment. One of the most salient voices in a child’s life is mother's voice: Infants discriminate their mother’s voice from the first days of life, and this stimulus is associated with guiding emotional and social function during development. Little is known regarding the functional circuits that are selectively engaged in children by biologically salient voices such as mother’s voice or whether this brain activity is related to children’s social communication abilities. We used functional MRI to measure brain activity in 24 healthy children (mean age, 10.2 y) while they attended to brief (<1 s) nonsense words produced by their biological mother and two female control voices and explored relationships between speech-evoked neural activity and social function. Compared to female control voices, mother’s voice elicited greater activity in primary auditory regions in the midbrain and cortex; voice-selective superior temporal sulcus (STS); the amygdala, which is crucial for processing of affect; nucleus accumbens and orbitofrontal cortex of the reward circuit; anterior insula and cingulate of the salience network; and a subregion of fusiform gyrus associated with face perception. The strength of brain connectivity between voice-selective STS and reward, affective, salience, memory, and face-processing regions during mother’s voice perception predicted social communication skills. Our findings provide a novel neurobiological template for investigation of typical social development as well as clinical disorders, such as autism, in which perception of biologically and socially salient voices may be impaired.

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Jacobsen, Pamela, Emmanuelle Peters, Thomas Ward, Philippa A. Garety, Mike Jackson, and Paul Chadwick. "Overgeneral autobiographical memory bias in clinical and non-clinical voice hearers." Psychological Medicine 49, no. 1 (March 14, 2018): 113–20. http://dx.doi.org/10.1017/s0033291718000570.

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AbstractBackgroundHearing voices can be a distressing and disabling experience for some, whilst it is a valued experience for others, so-called ‘healthy voice-hearers’. Cognitive models of psychosis highlight the role of memory, appraisal and cognitive biases in determining emotional and behavioural responses to voices. A memory bias potentially associated with distressing voices is the overgeneral memory bias (OGM), namely the tendency to recall a summary of events rather than specific occasions. It may limit access to autobiographical information that could be helpful in re-appraising distressing experiences, including voices.MethodsWe investigated the possible links between OGM and distressing voices in psychosis by comparing three groups: (1) clinical voice-hearers (N = 39), (2) non-clinical voice-hearers (N = 35) and (3) controls without voices (N = 77) on a standard version of the autobiographical memory test (AMT). Clinical and non-clinical voice-hearers also completed a newly adapted version of the task, designed to assess voices-related memories (vAMT).ResultsAs hypothesised, the clinical group displayed an OGM bias by retrieving fewer specific autobiographical memories on the AMT compared with both the non-clinical and control groups, who did not differ from each other. The clinical group also showed an OGM bias in recall of voice-related memories on the vAMT, compared with the non-clinical group.ConclusionsClinical voice-hearers display an OGM bias when compared with non-clinical voice-hearers on both general and voices-specific recall tasks. These findings have implications for the refinement and targeting of psychological interventions for psychosis.

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Janíček, M., R. Holubek, R. Ružarovský, and K. Velíšek. "Voice frequency impact for voice control of collaborative robots." IOP Conference Series: Materials Science and Engineering 1009 (January 16, 2021): 012025. http://dx.doi.org/10.1088/1757-899x/1009/1/012025.

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Cartei, Valentina, Alan Garnham, Jane Oakhill, Robin Banerjee, Lucy Roberts, and David Reby. "Children can control the expression of masculinity and femininity through the voice." Royal Society Open Science 6, no. 7 (July 2019): 190656. http://dx.doi.org/10.1098/rsos.190656.

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Pre-pubertal boys and girls speak with acoustically different voices despite the absence of a clear anatomical dimorphism in the vocal apparatus, suggesting that a strong component of the expression of gender through the voice is behavioural. Initial evidence for this hypothesis was found in a previous study showing that children can alter their voice to sound like a boy or like a girl. However, whether they can spontaneously modulate these voice components within their own gender in order to vary the expression of their masculinity and femininity remained to be investigated. Here, seventy-two English-speaking children aged 6–10 were asked to give voice to child characters varying in masculine and feminine stereotypicality to investigate whether primary school children spontaneously adjust their sex-related cues in the voice—fundamental frequency ( F 0) and formant spacing (Δ F )—along gender stereotypical lines. Boys and girls masculinized their voice, by lowering F 0 and Δ F , when impersonating stereotypically masculine child characters of the same sex. Girls and older boys also feminized their voice, by raising their F 0 and Δ F , when impersonating stereotypically feminine same-sex child characters. These findings reveal that children have some knowledge of the sexually dimorphic acoustic cues underlying the expression of gender, and are capable of controlling them to modulate gender-related attributes, paving the way for the use of the voice as an implicit, objective measure of the development of gender stereotypes and behaviour.

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Sykes, Ingrid. "Sounding the ‘Citizen–Patient’: The Politics of Voice at the Hospice des Quinze-Vingts in Post-Revolutionary Paris." Medical History 55, no. 4 (October 2011): 479–502. http://dx.doi.org/10.1017/s0025727300004956.

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This essay explores new models of the citizen–patient by attending to the post-Revolutionary blind ‘voice’. Voice, in both a literal and figurative sense, was central to the way in which members of the Hospice des Quinze-Vingts, an institution for the blind and partially sighted, interacted with those in the community. Musical voices had been used by members to collect alms and to project the particular spiritual principle of their institution since its foundation in the thirteenth century. At the time of the Revolution, the Quinze-Vingts voice was understood by some political authorities as an exemplary call of humanity. Yet many others perceived it as deeply threatening. After 1800, productive dialogue between those in political control and Quinze-Vingts blind members broke down. Authorities attempted to silence the voice of members through the control of blind musicians and institutional management. The Quinze-Vingts blind continued to reassert their voices until around 1850, providing a powerful form of resistance to political control. The blind ‘voice’ ultimately recognised the right of the citizen–patient to dialogue with their political carers.

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Андрусевич, Анатолий Александрович, Светлана Святославовна Милютина, and Виктория Валерьевна Невлюдова. "Robot voice control grammars development." Eastern-European Journal of Enterprise Technologies 3, no. 3(69) (June 22, 2014): 38. http://dx.doi.org/10.15587/1729-4061.2014.24668.

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18

Rogowski, Adam. "Industrially oriented voice control system." Robotics and Computer-Integrated Manufacturing 28, no. 3 (June 2012): 303–15. http://dx.doi.org/10.1016/j.rcim.2011.09.010.

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19

Hebert, Daniel A. "Voice control: Walking the talk." Computer Standards & Interfaces 20, no. 6-7 (March 1999): 417–18. http://dx.doi.org/10.1016/s0920-5489(99)90809-7.

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20

Kimura, Toshiyuki, and Kazuo Yabe. "Voice‐operated remote control system." Journal of the Acoustical Society of America 96, no. 4 (October 1994): 2623. http://dx.doi.org/10.1121/1.410052.

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21

Davis, Kenneth P. "Voice macros for scanner control." Journal of the Acoustical Society of America 118, no. 2 (2005): 596. http://dx.doi.org/10.1121/1.2040282.

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Perrone, Jeffrey. "Voice control of a server." Journal of the Acoustical Society of America 113, no. 5 (2003): 2392. http://dx.doi.org/10.1121/1.1584162.

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Borole, Kantilal P. Rane, Gayatri R. Shinde, Jyoti N. "Voice And Non Voice Control Based Wireless Home Automation System." International Journal of Innovative Research in Science, Engineering and Technology 04, no. 07 (July 15, 2015): 5063–67. http://dx.doi.org/10.15680/ijirset.2015.0407005.

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24

Frazier, Patricia, Addie Merians, and Stephanie Misono. "Perceived control and voice handicap in patients with voice disorders." Health Psychology 36, no. 11 (November 2017): 1105–8. http://dx.doi.org/10.1037/hea0000520.

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Elsayed, M., M. Ib Sokar, S. Abd Rabbo, and M. El_Arabi. "Voice Robot Control Using Advanced Fuzzy Control Techniques." International Journal of Scientific and Engineering Research 6, no. 11 (November 25, 2015): 1195–201. http://dx.doi.org/10.14299/ijser.2015.11.008.

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Apicella, C. L., D. R. Feinberg, and F. W. Marlowe. "Voice pitch predicts reproductive success in male hunter-gatherers." Biology Letters 3, no. 6 (September 25, 2007): 682–84. http://dx.doi.org/10.1098/rsbl.2007.0410.

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The validity of evolutionary explanations of vocal sexual dimorphism hinges upon whether or not individuals with more sexually dimorphic voices have higher reproductive success than individuals with less dimorphic voices. However, due to modern birth control methods, these data are rarely described, and mating success is often used as a second-rate proxy. Here, we test whether voice pitch predicts reproductive success, number of children born and child mortality in an evolutionarily relevant population of hunter-gatherers. While we find that voice pitch is not related to reproductive outcomes in women, we find that men with low voice pitch have higher reproductive success and more children born to them. However, voice pitch in men does not predict child mortality. These findings suggest that the association between voice pitch and reproductive success in men is mediated by differential access to fecund women. Furthermore, they show that there is currently selection pressure for low-pitch voices in men.

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Hirayama, Yoshikazu, and Yoshiyuki Kobayashi. "Voice reference apparatus, recording medium recording voice reference control program and voice recognition navigation apparatus." Journal of the Acoustical Society of America 119, no. 6 (2006): 3526. http://dx.doi.org/10.1121/1.2212620.

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Nygren, Ulrika, Bengt Isberg, Stefan Arver, Stellan Hertegård, Maria Södersten, and Agneta Nordenskjöld. "Magnetic Resonance Imaging of the Vocal Folds in Women With Congenital Adrenal Hyperplasia and Virilized Voices." Journal of Speech, Language, and Hearing Research 59, no. 4 (August 2016): 713–21. http://dx.doi.org/10.1044/2016_jslhr-s-14-0191.

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Purpose Women with congenital adrenal hyperplasia (CAH) may develop a virilized voice due to late diagnosis or suboptimal suppression of adrenal androgens. Changes in the vocal folds due to virilization have not been studied in vivo. The purpose was to investigate if the thyroarytenoid (TA) muscle is affected by virilization and correlate findings to fundamental frequency (F0). Method A case-control study using magnetic resonance imaging and voice recordings. Four women with CAH with virilized voices (26–40 years), and 5 female and 4 male controls participated. Measurements of cross-sectional TA muscle area, vocal fold length, vocal tract length, and acoustic analyses of F0 were performed. Results Women with CAH had larger cross-sectional TA muscle area than female control subjects and smaller than male controls. A significant negative correlation was found between TA muscle area and mean F0. The patients had a smaller physiological voice range than both female and male controls. Conclusion Data from our small study suggest that a larger TA muscle area is strongly associated with a lower F0 and thus the anatomical explanation for a female virilized voice, suggesting an androgen effect on the vocal folds. The findings from the present study need to be confirmed in a larger study.

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KOBAYASHI, Kazuhiro, Tomoki TODA, Hironori DOI, Tomoyasu NAKANO, Masataka GOTO, Graham NEUBIG, Sakriani SAKTI, and Satoshi NAKAMURA. "Voice Timbre Control Based on Perceived Age in Singing Voice Conversion." IEICE Transactions on Information and Systems E97.D, no. 6 (2014): 1419–28. http://dx.doi.org/10.1587/transinf.e97.d.1419.

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Ma, Estella P.-M., and Edwin M.-L. Yiu. "Voice Activity and Participation Profile." Journal of Speech, Language, and Hearing Research 44, no. 3 (June 2001): 511–24. http://dx.doi.org/10.1044/1092-4388(2001/040).

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Traditional clinical voice evaluation focuses primarily on the severity of voice impairment, with little emphasis on the impact of voice disorders on the individual’s quality of life. This study reports the development of a 28-item assessment tool that evaluates the perception of voice problem, activity limitation, and participation restriction using the International Classification of Impairments, Disabilities and Handicaps-2 Beta-1 concept (World Health Organization, 1997). The questionnaire was administered to 40 subjects with dysphonia and 40 control subjects with normal voices. Results showed that the dysphonic group reported significantly more severe voice problems, limitation in daily voice activities, and restricted participation in these activities than the control group. The study also showed that the perception of a voice problem by the dysphonic subjects correlated positively with the perception of limitation in voice activities and restricted participation. However, the self-perceived voice problem had little correlation with the degree of voice-quality impairment measured acoustically and perceptually by speech pathologists. The data also showed that the aggregate scores of activity limitation and participation restriction were positively correlated, and the extent of activity limitation and participation restriction was similar in all except the job area. These findings highlight the importance of identifying and quantifying the impact of dysphonia on the individual’s quality of life in the clinical management of voice disorders.

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Barnett, Ursula A., and Peter Horn. "My Voice Is under Control Now." World Literature Today 74, no. 2 (2000): 348. http://dx.doi.org/10.2307/40155604.

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Shriya, Devadiga. "IR based Voice Automated Appliance Control." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 415. http://dx.doi.org/10.22214/ijraset.2019.4074.

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Bhole, P. R. "Voice Command Based Robotic Vehicle Control." International Journal for Research in Applied Science and Engineering Technology V, no. XI (November 20, 2017): 1079–83. http://dx.doi.org/10.22214/ijraset.2017.11162.

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Nikitin, Yu R., and M. Yu Teplyakova. "Transport Robot Control by Voice Commands." Intellekt. Sist. Proizv. 15, no. 3 (October 2, 2017): 112. http://dx.doi.org/10.22213/2410-9304-2017-3-112-117.

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В системах управления современных роботов используется нечеткая логика, поэтому целесообразно подавать команды управления роботом на основе нечеткой логики, которая позволит роботам эффективно выполнять поставленные задачи. В статье рассматривается управление транспортным роботом голосовыми командами и моделирование его движения в программном продукте Microsoft Robotics Developer Studio. Для моделирование движения транспортного робота использовался язык Visual Programming Language (VPL) - среда визуального программирования для создания и отладки приложений. Для распознавания голосовых команд используется планшетный компьютер или мобильный телефон с операционной системы Android с приложением, при помощи которого можно управлять роботом с использованием интерфейса Bluetooth. Разработана программа, которая позволит человеку управлять роботом с помощью речи. Получена визуальная программа управления движением транспортного робота. Приведен пример моделирования робота и его траектория движения с использованием голосового управления. Разработанная система управления позволяет следовать транспортному роботу от одной целевой точки к другой с использованием голосового управления. Задача управления роботом с использованием голосового управления существенно упрощается, поскольку она практически не требует специальных навыков от оператора. В конечном счете, голосовое управление облегчит использование роботов в промышленности, быту и других областях. Управлять можно будет не только роботами, но и другими устройствами, имеющими микропроцессорное управление.

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KUSAURA, Nobuhiko, and Masashi KAWASUMI. "Cursor position control system using voice." Japanese journal of ergonomics 27, Supplement (1991): 256–57. http://dx.doi.org/10.5100/jje.27.supplement_256.

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Turner, DJ. "Voice control of the operating room." Journal of the American Association of Gynecologic Laparoscopists 5, no. 3 (August 1998): S53. http://dx.doi.org/10.1016/s1074-3804(05)80422-0.

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Hafke, Honorata Zofia. "Nonconscious control of fundamental voice frequency." Journal of the Acoustical Society of America 123, no. 1 (January 2008): 273–78. http://dx.doi.org/10.1121/1.2817357.

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Prasad, V. V. S. Maruthy, and Shuba Swaminathan. "Voice Governed Traffic Light Control System." IETE Journal of Education 36, no. 2-3 (April 1995): 115–20. http://dx.doi.org/10.1080/09747338.1995.11415622.

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Matarneh, Rami, Svitlana Maksymova, Oleksandr Zeleniy, and Vyacheslav Lyashenko. "Voice Control for Flexible Medicine Robot." International Journal of Computer Trends and Technology 56, no. 1 (February 25, 2018): 1–5. http://dx.doi.org/10.14445/22312803/ijctt-v56p101.

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Simpson, R. C., and S. P. Levine. "Voice control of a powered wheelchair." IEEE Transactions on Neural Systems and Rehabilitation Engineering 10, no. 2 (June 2002): 122–25. http://dx.doi.org/10.1109/tnsre.2002.1031981.

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Duran, Roberto. "VOICE-ACTIVATED MOTORIZED REMOTE CONTROL DEVICE." Journal of the Acoustical Society of America 134, no. 5 (2013): 3967. http://dx.doi.org/10.1121/1.4828925.

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Leung, Y. W. "Congestion control for multipoint packet voice." Electronics Letters 27, no. 15 (1991): 1392. http://dx.doi.org/10.1049/el:19910874.

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Zlokarnik, Igor, and Daniel Lawrence Roth. "Voice-activated control for electrical device." Journal of the Acoustical Society of America 115, no. 2 (2004): 459. http://dx.doi.org/10.1121/1.1669316.

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Berry, Jeff. "Control of short lag VOT (voice‐onset time) for voiced English stops." Journal of the Acoustical Society of America 115, no. 5 (May 2004): 2465. http://dx.doi.org/10.1121/1.4782396.

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Lv, Zhong Liang, Pei Wen An, and Bao Ping Tang. "Research on the Control System of the Voice and Motion Synchronism Teaching Group." Applied Mechanics and Materials 233 (November 2012): 316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.233.316.

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The control system design of voice and motion synchronism teaching group based on computer-controlled is completed. By this control system, 96 motor independent controls and the explanation of the model background can be realized. Furthermore，the purpose of voice and motion synchronism is reached. By software programming, the voice and motion synchronism teaching group can be played in order or played repeatedly.

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Piyaneeranart, Manussawee, and Mahasak Ketcham. "Automatically Moving Robot Intended for the Elderly with Voice Control." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 06 (June 25, 2021): 19. http://dx.doi.org/10.3991/ijoe.v17i06.22299.

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This research aims at an automatically moving robot intended for the elderly with voice control using voice recognition that gives a direction to the robot by a voice command. The development of this robot employed an algorithm that converts voice to text to control the robot mobility. The performance testing of the automatically moving robot intended for the elderly with Thai language voice commands revealed an accuracy of voice-to-text conversion for commanding the robot to move in designated directions of 100 percent, and the accuracy of voice-to-text conversion for commanding the robot to move in designated directions using English language was 80 percent, while that for both Thai and English commands was 70 percent. Errors in voice-to-text conversion occurred when commands were not clearly spoken or pronounced or when commands were issued from people located in a very noisy place.

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N. Shehab, Jinan. "Remote Control using Voice Recognition based on Arduino." DJES 12, no. 3 (September 1, 2019): 22–28. http://dx.doi.org/10.24237/djes.2019.12304.

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Home automation becomes important, because it gives the user convenient and easy method to use home appliances. This paper aims to help people with special needs or physical disabilities and injuries by paralysis to control any device using infrared technology using voice commands based on the voice recognition system (voice recognition unit V3) system can recognize voice commands, convert them to desired data coordination and data transmission via IR transmitter and microcontroller (Arduino Uno) Receiving this signal by IR sensor to control TV receiver then get a full remote control that works by voice commands. The software consists of a Micro C language programmable microcontroller. This system is of low cost and flexible with growing variety of devices that can be controlled.

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Tullett, Alexa M., and Michael Inzlicht. "The voice of self-control: Blocking the inner voice increases impulsive responding." Acta Psychologica 135, no. 2 (October 2010): 252–56. http://dx.doi.org/10.1016/j.actpsy.2010.07.008.

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Li, Jing, Ting Xu, and Nan Yan Shen. "Design and Implementation of Voice Control System in Flexible Manufacturing Cell." Applied Mechanics and Materials 415 (September 2013): 9–13. http://dx.doi.org/10.4028/www.scientific.net/amm.415.9.

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On the voice development platform of Microsoft Speech SDK, speech recognition and speech synthesis modules based on command control mode is built in this paper. Ethernet-based remote voice control system of intelligent flexible manufacturing cell is developed for machine tools and industrial robots. This paper designs an intelligent voice control system based on LabVIEW development environment, which realizes the human-machine voice interaction of flexible manufacturing cell and remote voice control. Experimental studies have shown that intelligent voice control system has high speech recognition rate and system reliability in a relatively quiet environment.

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Ocaña, Jesús. "Wheelchair control system with voice recognition for CERSI." Conocimiento para el Desarrollo 10, no. 2 (December 31, 2019): 245–49. http://dx.doi.org/10.17268/cpd.2019.02.11.

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Journal articles on the topic 'VOICE CONTROL'

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