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Relevant bibliographies by topics / Speech control

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Academic literature on the topic 'Speech control'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Speech control"

1

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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Dissertations / Theses on the topic "Speech control"

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Wilson, W. R. "Speech motor control." Thesis, University of Essex, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376738.

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Campbell, Wilhelm. "Multi-level speech timing control." Thesis, University of Sussex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283832.

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This thesis describes a model of speech timing, predicting at the syllable level, with sensitivity to rhythmic factors at the foot level, that predicts segmental durations by a process of accommodation into the higher-level timing framework. The model is based on analyses of two large databases of British English speech; one illustrating the range of prosodic variation in the language, the other illustrating segmental duration characteristics in various phonetic environments. Designed for a speech synthesis application, the model also has relevance to linguistic and phonetic theory, and shows that phonological specification of prosodic variation is independent of the phonetic realisation of segmental duration. It also shows, using normalisation of phone-specific timing characteristics, that lengthening of segments within the syllable is of three kinds: prominence-related, applying more to onset segments; boundary-related, applying more to coda segments; and rhythm/rate-related, being more uniform across all component segments. In this model, durations are first predicted at the level of the syllable from consideration of the number of component segments, the nature of the rhyme, and the three types of lengthening. The segmental durations are then constrained to sum to this value by determining an appropriate uniform quantile of their individual distributions. Segmental distributions define the range of likely durations each might show under a given set of conditions; their parameters are predicted from broad-class features of place and manner of articulation, factored for position in the syllable, clustering, stress, and finality. Two parameters determine the segmental duration . pdfs, assuming a Gamma distribution, and one parameter determines the quantile within that pdf to predict the duration of any segment in a given prosodic context. In experimental tests, each level produced durations that closely fitted the data of four speakers of British English, and showed performance rates higher than a comparable model predicting exclusively at the level of the segment.

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Vousden, Janet. "Serial control of phonology in speech production." Thesis, University of Warwick, 1996. http://wrap.warwick.ac.uk/3026/.

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The aim of this thesis is to further our understanding of the processes which control the sequencing of phonemes as we speak: this is an example of what is commonly known as the serial order problem. Such a process is apparent in normal speech and also from the existence of a class of speech errors known as sound movement errors, where sounds are anticipated (spoken too soon), perseverated (repeated again later), or exchanged (the sounds are transposed). I argue that this process is temporally governed, that is, the serial ordering mechanism is restricted to processing sounds that are close together in time. This is in conflict with frame-based accounts (e.g. Dell, 1986; Lapointe & Dell, 1979), serial buffer accounts (Shattuck-Hufnagel, 1979) and associative chaining theories (Wickelgren, 1969). An analysis of sound movement errors from Harley and MacAndrew's (1995) corpus shows how temporal processing bears on the production of speech sounds by the temporal constraint observed in the pattern of errors, and I suggest an appropriate computational model of this process. Specifically, I show how parallel temporal processing in an oscillator-based model can account for the movement of sounds in speech. Similar predictions were made by the model to the pattern of movement errors actually observed in speech error corpora. This has been demonstrated without recourse to an assumption of frame and slot structures. The OSCillator-based Associative REcall (OSCAR) model, on the other hand, is able to account for these effects and other positional effects, providing support for a temporal based theory of serial control.

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Palivela, Yaswanth. "Speech Assisted Interface for Quadcopter Flight Control." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1526247041269609.

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Bond, Rachel Jacqueline Psychology Faculty of Science UNSW. "Cognates, competition and control in bilingual speech production." Awarded by:University of New South Wales. Psychology, 2005. http://handle.unsw.edu.au/1959.4/22397.

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If an individual speaks more than one language, there are always at least two ways of verbalising any thought to be expressed. The bilingual speaker must then have a means of ensuring that their utterances are produced in the desired language. However, prominent models of speech production are based almost exclusively on monolingual considerations and require substantial modification to account for bilingual production. A particularly important feature to be explained is the way bilinguals control the language of speech production: for instance, preventing interference from the unintended language, and switching from one language to another. One recent model draws a parallel between bilinguals??? control of their linguistic system and the control of cognitive tasks more generally. The first two experiments reported in this thesis explore the validity of this model by comparing bilingual language switching with a monolingual switching task, as well as to the broader task-switching literature. Switch costs did not conform to the predictions of the task-set inhibition hypothesis in either experiment, as the ???paradoxical??? asymmetry of switch costs was not replicated and some conditions showed benefits, rather than costs, for switching between languages or tasks. Further experiments combined picture naming with negative priming and semantic competitor priming paradigms to examine the role of inhibitory and competitive processes in bilingual lexical selection. Each experiment was also conducted in a parallel monolingual version. Very little negative priming was evident when speaking the second language, but the effects of interlingual cognate status were pronounced. There were some indications of cross-language competition at the level of lexical selection: participants appeared unable to suppress the irrelevant language, even when doing so would make the task easier. Across all the experiments, there was no evidence for global inhibition of the language-not-in-use during speech production. Overall results were characterised by a remarkable flexibility in the mechanisms of bilingual control. A striking dissociation emerged between the patterns of results for cognate and non-cognate items, which was reflected throughout the series of experiments and implicates qualitative differences in the way these lexical items are represented and interconnected.

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Tran, Thao, and Nathalie Tkauc. "Face recognition and speech recognition for access control." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39776.

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This project is a collaboration with the company JayWay in Halmstad. In order to enter theoffice today, a tag-key is needed for the employees and a doorbell for the guests. If someonerings the doorbell, someone on the inside has to open the door manually which is consideredas a disturbance during work time. The purpose with the project is to minimize thedisturbances in the office. The goal with the project is to develop a system that uses facerecognition and speech-to-text to control the lock system for the entrance door. The components used for the project are two Raspberry Pi’s, a 7 inch LCD-touch display, aRaspberry Pi Camera Module V2, a external sound card, a microphone and speaker. Thewhole project was written in Python and the platform used was Amazon Web Services (AWS)for storage and the face recognition while speech-to-text was provided by Google.The system is divided in three functions for employees, guests and deliveries. The employeefunction has two authentication steps, the face recognition and a random generated code that needs to be confirmed to avoid biometric spoofing. The guest function includes the speech-to-text service to state an employee's name that the guest wants to meet and the employee is then notified. The delivery function informs the specific persons in the office that are responsiblefor the deliveries by sending a notification.The test proves that the system will always match with the right person when using the facerecognition. It also shows what the threshold for the face recognition can be set to, to makesure that only authorized people enters the office.Using the two steps authentication, the face recognition and the code makes the system secureand protects the system against spoofing. One downside is that it is an extra step that takestime. The speech-to-text is set to swedish and works quite well for swedish-speaking persons.However, for a multicultural company it can be hard to use the speech-to-text service. It canalso be hard for the service to listen and translate if there is a lot of background noise or ifseveral people speak at the same time.

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Stenbäck, Victoria. "Speech masking speech in everyday communication : The role of inhibitory control and working memory capacity." Doctoral thesis, Linköpings universitet, Avdelningen för neuro- och inflammationsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133194.

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Age affects hearing and cognitive abilities. Older people, with and without hearing impairment (HI), exhibit difficulties in hearing speech in noise. Elderly individuals show greater difficulty in segregating target speech from distracting background noise, especially if the noise is competing speech with meaningful contents, so called informational maskers. Working memory capacity (WMC) has proven to be a crucial factor in comprehending speech in noise, especially for people with hearing loss. In auditory scenes where speech is disrupted by competing speech, high WMC has proven to facilitate the ability to segregate target speech and inhibit responses to irrelevant information. People with low WMC are more prone to be disrupted by competing speech and exhibit more difficulties in hearing target speech in complex listening environments. Furthermore, elderly individuals with a HI experience more difficulties in switching attention between wanted and irrelevant stimuli, and they employ more resources and time to attend to the stimuli than do normally - hearing (NH) younger adults. This thesis investigated the importance of inhibitory control and WMC for speech recognition in noise, and perceived listening effort. Four studies were conducted. In the first study, the aim was to develop a test of inhibitory control for verbal content, and to investigate the relation between inhibitory control and WMC, and how these two abilities related to speech recognition in noise, in young normally – hearing (YNH) individuals. In the second study we aimed to investigate the same relationship as in the first study to further strengthen the validity of the inhibitory test developed, as well as the importance of lexical access. It was also an aim to investigate the influence of age and hearing status on lexical access and WMC, and their respective roles for speech recognition in noise in both YNH and elderly HI (EHI) individuals. Study one and two showed that, for YNH, inhibitory control was related to speech recognition in noise, indicating that inhibitory control can help to predict speech recognition in noise performance. The relationship between WMC and speech recognition in noise in YNH shifted in the studies, suggesting that this relationship is multifaceted and varying. Lexical access was of little importance for YNH, although for EHI individuals, both WMC and lexical access was of importance for speech recognition in noise, suggesting that different cognitive abilities were of importance for the YNH and EHI individuals Study three investigated the relationship between inhibitory control, WMC, speech recognition in noise, and perceived listening effort, in YNH and elderly, for their age, NH, individuals (ENH). In study four the same relationships as in study three were investigated, albeit in EHI individuals. Two speech materials with different characteristics, masked with four background noises were used. The results in study three showed that less favourable SNRs were needed for informational maskers than for maskers without semantic content. ENH individuals were more susceptible to informational maskers than YNH individuals. In contrast, in study four, more favourable SNRs were needed for informational maskers. In both studies, results showed that speech recognition in noise performance differed depending on the characteristics of the speech material. The studies showed that high WMC, compared to low WMC, was beneficial for speech recognition in noise, especially for informational maskers, and resulted in lower ratings of perceived effort. Varying results were found in study three and four regarding perceived effort and inhibitory control. In study three good inhibitory control was associated with lower effort rating, while in study four, individuals with a HI and good inhibitory control rated effort as higher. The results suggest that hearing status, age, and cognitive abilities, contribute to the differences in performance between YNH, ENH, and EHI individuals in speech – recognition – in – noise - and cognitive tasks. This thesis has, for the first time, demonstrated that a measure of inhibitory control of verbal content, is related to speech recognition in noise performance in YNH, ENH and EHI individuals. Results presented in this thesis also show that both WMC and inhibitory control are related to an individuals’ perception of how effortful a listening task is. It also adds to the literature that WMC is related to speech recognition in noise performance for ENH and EHI individuals, but that this relationship is not as robust in YNH individuals.
Ålder påverkar hörseln och de kognitiva förmågorna. Äldre personer, med och utan hörselnedsättning, uppvisar ofta svårigheter att höra tal i miljöer med bakgrundsljud. De uppvisar större svårigheter att urskilja en måltalare, speciellt om det omgivande ljudet består av annat tal med meningsfullt innehåll, så kallad informationsmaskering. Arbetsminne har visat sig vara en viktig faktor för att förstå tal – i – brus, framför allt för personer med hörselnedsättning. I ljudmiljöer där tal störs av andra talkällor är hög arbetsminneskapacitet av vikt för att understödja förmågan att urskilja måltalaren från de störande talkällorna genom att underlätta inhiberingen av irrelevant information. Individer med lägre arbetsminneskapacitet är mer benägna att störas av andra talkällor, och har svårare att uppfatta måltalaren i komplexa lyssningssituationer. Vidare upplever äldre personer med hörselnedsättning att det är svårare att skifta uppmärksamheten mellan relevant och irrelevant stimuli, och de använder mer resurser och tid till omgivande stimuli än, ex. yngre individer med normal hörsel. I den här avhandlingen undersöktes vikten av inhibitionskontroll och arbetsminne vid taluppfattning i brus och upplevelsen av lyssningsansträngning. Fyra studier genomfördes. Syftet med första studien var att utveckla ett test för verbal inhibitionskontroll, och att undersöka relationen mellan inhibitionskontroll, arbetsminneskapacitet, och deras koppling till taluppfattning i brus hos yngre normalhörande personer. I studie två undersöktes ovanstående relationer för att vidare styrka validiteten för testet av inhibitionskontroll, samt vikten av lexikal åtkomst. Vidare syfte var att undersöka ålderns och hörselns inverkan på lexikal åtkomst och arbetsminneskapacitet, och deras respektive roller för taluppfattning i brus hos både yngre normalhörande och äldre hörselnedsatta personer. Studie ett och två visade att inhibitionskontroll var relaterad till taluppfattning i brus för yngre normalhörande personer, vilket indikerar att inhibitionskontroll kan användas för att underlätta att förutsäga förmågan att uppfatta tal – i – brus. Relationen mellan arbetsminneskapacitet och taluppfattning i brus hos yngre normalhörande var inte solid, vilket tyder på att relationen är mångsidig och skiftande. Lexikal åtkomst var av mindre betydelse för yngre normalhörande personer, ehuru hos äldre hörselskadade personer var både arbetsminneskapacitet och lexikal åtkomst viktigt för taluppfattning i brus. Detta tyder på att olika kognitiva förmågor var betydelsefulla för taluppfattningen i brus för yngre normalhörande och äldre hörselskadade personer. Studie tre undersökte relationen mellan inhibitionskontroll, arbetsminneskapacitet, taluppfattning i brus, och upplevd lyssningsansträngning hos yngre och äldre, för sin ålder, normalhörande personer. Två talmaterial med olika karakteristika användes och maskerades med fyra olika bakgrundsbrus. Resultatet visade att mindre gynnsamma signal – brus - förhållanden uppnåddes när informationsmaskering användes jämfört med brus utan semantiskt innehåll. Äldre normalhörande personer var mer mottagliga för informationsmaskering än yngre normalhörande personer. Hög arbetsminneskapacitet och god inhibitionskontroll var förmånliga för taluppfattning i brus, och resulterade i mindre upplevd lyssningsansträngning, jämfört med personer med lägre arbetsminneskapacitet och sämre inhibitionskontroll. Resultaten talar för att åldersrelaterade tillbakagångar i hörförmåga och, vissa, kognitiva förmågor, bidrar till skillnaderna i prestation mellan yngre och äldre normalhörande personer när det gäller förmågan att uppfatta tal - i - brus. Studie fyra undersökte samma relationer som i studie tre, ehuru hos äldre personer med mild – måttlig sensorineural hörselnedsättning. Resultaten visade att förmågan att uppfatta tal - i - brus varierade beroende på talmaterialets karakteristika, samt vilket bakgrundsbrus som användes. Hög arbetsminneskapacitet och god inhibitionskontroll var fördelaktiga för taluppfattningen, i synnerhet när informationsmaskering användes. Personer med högt arbetsminne upplevde mindre lyssningsansträngning, medan god inhibitionskontroll associerades med högre upplevd lyssningsansträngning. I föreliggande avhandling har det, för första gången, påvisats att verbal inhibitionskontroll relaterar till förmågan att uppfatta tal – i – brus hos yngre och äldre normalhörande, och äldre personer med hörselnedsättning. Resultaten som presenterats i avhandlingen visar att både arbetsminneskapacitet och inhibitionskontroll är associerade med en individs upplevelse av hur ansträngande en lyssningssituation är. Avhandlingen stödjer även tidigare forskning som visar på att arbetsminneskapaciteten är relaterad till förmågan att uppfatta tal – i – brus hos äldre normalhörande, och äldre hörselskadade personer, men att denna relation inte är lika solid för yngre normalhörande personer.

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Ward, David. "Intrinsic timing, extrinsic timing and stuttered speech." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309521.

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Mitchell, Douglas Alan. "Control of high speech cavity flow using plasma actuators." Connect to resource, 2006. http://hdl.handle.net/1811/6439.

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Thesis (Honors)--Ohio State University, 2006.
Title from first page of PDF file. Document formatted into pages: contains x, 63 p.; also includes graphics. Includes bibliographical references (p. 50-51). Available online via Ohio State University's Knowledge Bank.

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Chiam, Ruth. "Speech Motor Control in English-Mandarin Bilinguals who stutter." Thesis, University of Canterbury. Department of Communication Disorders, 2013. http://hdl.handle.net/10092/7793.

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Research examining bilinguals who stutter (BWS) is limited; in particular there are few studies that have considered examining features of speech motor control in BWS. The present study was designed to examine features of speech motor control in bilingual speakers of Mandarin and English. Speech motor control was examined through the acoustic analysis of speaking rate, voice onset time (VOT) and stuttering adaptation. Participants ranged from age between 9 and 27 years. Upon completion of a language dominance questionnaire, two BWS participants were found to be English dominant and three were Mandarin dominant. Each BWS participant was matched to age/sex matched control participants (BWNS). Results for the BWS participants found more stuttering in the less dominant language based on a measure of percentage of syllables stuttered. All of the BWS participants demonstrated stuttering adaptation and there was no significant difference in the amount of adaptation for Mandarin and English. There was no difference found between BWS and BWNS for speaking rate and VOT. In spite of the similarity between BWS and BWNS, speaking rate in Mandarin appeared to be faster compared to English. These findings suggest that speech motor control in BWS and BWNS are similar and current application of these findings to the clinical setting is discussed.

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Books on the topic "Speech control"

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Chmora, Andrew, and Stephen B. Wicker, eds. Error Control, Cryptology, and Speech Compression. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58265-7.

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Vousden, Janet. Serial control of phonology in speech production. [s.l.]: typescript, 1996.

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Smith, John. Free speech: bound script: Assessment, oracy and control. Norwich: University of East Anglia, 1986.

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Cooper, Eugene B. Cooper personalized fluency control therapy for children: Clinician's manual. 3rd ed. Austin, Tex: Pro-Ed, 2003.

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Baber, Christopher. Speech technology in control room systems: A humanfactors perspective. London: Ellis Horwood, 1991.

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Apraxia: The cognitive side of motor control. Oxford, UK: Oxford University Press, 2013.

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Speech processing for IP networks: Media Resource Control Protocol (MRCP). Chichester: John Wiley & Sons, 2007.

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The fog of censorship: Media control in China. [New York]: Human Rights in China, 2008.

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Like humans do: A scene analysis approach to improving robustness in automatic speech recognition. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Media control in Ireland, 1923-1983. Carbondale: Southern Illinois University Press, 1985.

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Book chapters on the topic "Speech control"

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MacNeilage, Peter F. "Speech, Motor Control." In Speech and Language, 39–40. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6774-9_15.

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Tatham, Mark, and Katherine Morton. "Speech Motor Control." In Speech Production and Perception, 99–120. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230513969_4.

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Kuo, Sen M., and Dennis R. Morgan. "Active Noise Control." In Springer Handbook of Speech Processing, 1001–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-49127-9_49.

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Ostry, D. J., J. D. Cooke, and K. G. Munhall. "Kinematic Form of Limb and Speech Movements." In Motor Control, 209–13. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_35.

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Chernykh, German, Maxim Korenevsky, Kirill Levin, Irina Ponomareva, and Natalia Tomashenko. "State Level Control for Acoustic Model Training." In Speech and Computer, 435–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11581-8_54.

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Trnka, Marian, Sakhia Darjaa, Milan Rusko, Meilin Schaper, and Tim H. Stelkens-Kobsch. "Speaker Authorization for Air Traffic Control Security." In Speech and Computer, 716–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87802-3_64.

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Rik, Lambers. "Code And Speech. Speech Control Through Network Architecture." In Information Technology and Law Series, 91–140. The Hague: T.M.C. Asser Press, 2006. http://dx.doi.org/10.1007/978-90-6704-595-7_4.

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Zatvornitsky, Alexander, Aleksei Romanenko, and Maxim Korenevsky. "Proportional-Integral-Derivative Control of Automatic Speech Recognition Speed." In Speech and Computer, 360–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11581-8_45.

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Rothkrantz, Léon J. M., Robert J. van Vark, Alexandra Peters, and Niels A. Andeweg. "Dialogue Control in the Alparon System." In Text, Speech and Dialogue, 333–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45323-7_56.

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Atal, Bishnu S. "Speech Recognition by Machines." In Communications, Computation, Control, and Signal Processing, 495–503. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6281-8_31.

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Conference papers on the topic "Speech control"

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Dai, Liwei, Rich Goldman, Andrew Sears, and Jeremy Lozier. "Speech-based cursor control." In the ACM SIGACCESS conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1028630.1028648.

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Karimullah, Azfar S., and Andrew Sears. "Speech-based cursor control." In the fifth international ACM conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/638249.638282.

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Deshmukh, K. P. "Device control using speech recognition." In the International Conference & Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1980022.1980387.

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Kader, Md Abdul, Biswajit Singha, and Md Nazrul Islam. "Speech enabled operating system control." In 2008 11th International Conference on Computer and Information Technology (ICCIT). IEEE, 2008. http://dx.doi.org/10.1109/iccitechn.2008.4803075.

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Ghule, P. B., M. G. Bhalerao, R. H. Chile, and V. G. Asutkar. "Wheelchair control using speech recognition." In 2016 Ninth International Conference on Contemporary Computing (IC3). IEEE, 2016. http://dx.doi.org/10.1109/ic3.2016.7880214.

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Zhao, Hui, Yamin Shen, and Chaojing Tang. "Speech-to-visual speech synthesis using Chinese visual triphone." In 2010 2nd International Conference on Advanced Computer Control. IEEE, 2010. http://dx.doi.org/10.1109/icacc.2010.5486681.

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Tilsen, Sam. "A shared control parameter for F0 and intensity." In Speech Prosody 2016. ISCA, 2016. http://dx.doi.org/10.21437/speechprosody.2016-219.

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Nakayama, Masashi, Shunsuke Ishimitsu, and Seiji Nakagawa. "Speech estimation from body-conducted speech with differential acceleration." In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919392.

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Sajic, Mirko, Dusanka Bundalo, Zeljko Vidovic, Zlatko Bundalo, and Deian Lalic. "Smart Digital Terminal Devices with Speech Recognition and Speech Control." In 2021 10th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2021. http://dx.doi.org/10.1109/meco52532.2021.9460226.

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Barbier, Guillaume, Pascal Perrier, Lucie Ménard, Yohan Payan, Mark K. Tiede, and Joseph S. Perkell. "Speech planning as an index of speech motor control maturity." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-342.

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Reports on the topic "Speech control"

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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.

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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.

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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.

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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.

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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.

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Shaver, Greg, and Miles Droege. Develop and Deploy a Safe Truck Platoon Testing Protocol for the Purdue ARPA-E Project in Indiana. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317314.

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Abstract:

Hilly terrain poses challenges to truck platoons using fixed set speed cruise control. Driving the front truck efficiently on hilly terrain improves both trucks fuel economies and improves gap maintenance between the trucks. An experimentally-validated simulation model was used to show fuel savings for the platoon of 12.3% when the front truck uses long horizon predictive cruise control (LH-PCC), 8.7% when the front truck uses flexible set speed cruise control, and only 1.2% when the front truck uses fixed set speed cruise control. Purdue, Peloton, and Cummins have jointly configured two Peterbilt 579 trucks for relevant combinations of: (1) coordinated shifting, (2) constant or variable platoon gap controls, (3) flexible or constant speed setpoint cruise control of the front trucks, and (4) long-horizon predictive cruise control (LHPCC) of the front truck. Confirmation of this functionality during platooning was demonstrated at the Continental Test track in Uvalde, Texas. In Indiana, on-road experiments were limited to single truck operation with long-horizon predictive cruise control, flexible set speed cruise control, and constant setpoint cruise control. Data from all of the above was used to improve the fidelity of simulations used to arrive at the fuel savings and gap control findings for hilly terrain per what is summarized in the findings section. Additionally, in early summer 2020, Purdue submitted to, and received improvement from, INDOT for a safe truck platoon testing protocol (located in this report’s appendix), which could not be implemented in Indiana before the end of the project because of COVID-19. Presentations of the subject matter at COMVEC, MAASTO, Purdue Road School, and the Work Truck Show are listed in the appendix.

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Vidulich, Michael A., W. T. Nelson, Robert S. Bolia, Nicole M. Guilliams, and Annie B. McLaughlin. An Evaluation of Speech Controls for AWACS Weapons Directors. Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada423447.

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Sullivan, Gary D., and Andrea M. Faucette. High-Speed Image Recognition Control System. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada389666.

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COLUMBIA UNIV NEW YORK. Congestion Control of High-Speed Networks. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada267013.

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Tanaka, Hirohisa, Masahiro Omori, and Nozomi Toyoda. Speed Ratio Control of a Half-Toroidal CVT by Pressure Control Valves. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0414.

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