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Journal articles on the topic 'Voice technologies'

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1

Christensen, J., and B. Hughes. "Voice-enabled IT transformation: The new voice technologies." IBM Systems Journal 46, no. 4 (2007): 763–75. http://dx.doi.org/10.1147/sj.464.0763.

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2

Bharucha, Behram, Nelson Luis Saldanha Da Fonseca, Steven S. Katz, Moshe Zukerman, and N. Maxemchuk. "Guest editorial: Future voice technologies." IEEE Journal on Selected Areas in Communications 17, no. 1 (January 1999): 1–3. http://dx.doi.org/10.1109/jsac.1999.743685.

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3

Hirschberg, Julia B., Stephen A. Riederer, James E. Rowley, and Ann K. Syrdal. "Voice Response Systems: Technologies and Applications." AT&T Technical Journal 69, no. 5 (September 10, 1990): 42–51. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00120.x.

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4

Sarabdeen, Jawahitha, and Kamal Jaafar. "Emerging Technologies, UAE." Emerald Emerging Markets Case Studies 1, no. 1 (January 1, 2011): 1–4. http://dx.doi.org/10.1108/20450621111110276.

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Subject area Strategic management, international business, branding, innovation and retail management Study level/applicability Undergraduate, postgraduate business and management students. Case overview Emerging Technologies was the first United Arab Emirates software application developer of Arabic (also available in English and Hindi) voice recognition solutions. Emerging Technologies developed and deployed fully automated voice recognition applications to meet specific business wants and needs. The case provides a practical example of a company which position itself well to be a raising star through proper strategy. Expected learning outcomes The students will be able to learn various business strategies that could be applied in emerging markets. Supplementary materials Teaching note available upon request.
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5

Wright, D. "Voice over MPLS compared to voice over other packet transport technologies." IEEE Communications Magazine 40, no. 11 (November 2002): 124–32. http://dx.doi.org/10.1109/mcom.2002.1047004.

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6

Wilpon, J. G. "Voice-processing technologies--their application in telecommunications." Proceedings of the National Academy of Sciences 92, no. 22 (October 24, 1995): 9991–98. http://dx.doi.org/10.1073/pnas.92.22.9991.

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7

Peden, Mark, Gavin Young, and Allison Sokol. "From voice-band modems to DSL technologies." International Journal of Network Management 11, no. 5 (2001): 265–76. http://dx.doi.org/10.1002/nem.423.

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8

Gordijn, Bert, and Henk ten Have. "Emerging technologies and the voice of reason." Medicine, Health Care and Philosophy 20, no. 1 (February 8, 2017): 1–2. http://dx.doi.org/10.1007/s11019-017-9756-3.

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9

Takagi, Tohru. "Recent Advances in Voice Signal Processing. Application Technologies. Voice Quality Conversion Keeping Naturalness of Human Voice." Journal of the Institute of Television Engineers of Japan 47, no. 12 (1993): 1596–600. http://dx.doi.org/10.3169/itej1978.47.1596.

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10

Angadi, Vrushali, and Joseph Stemple. "New Frontiers and Emerging Technologies in Comprehensive Voice Care." Perspectives on Voice and Voice Disorders 22, no. 2 (July 2012): 72–79. http://dx.doi.org/10.1044/vvd22.2.72.

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The nature of voice therapy has progressed since the 1930s when treatment for voice disorders was chiefly in the medical domain. The role of the speech-language-pathologist (SLP) in the treatment of voice disorders has evolved steadily over the years with advances in diagnosis and the growing base of evidence in the literature with respect to treatment. The speech-language pathologist is now an important part of the treatment team that includes the otolaryngologist, singing teacher, vocal coach, and other allied health professionals. This team approach has improved patient care with a greater focus on the individual that goes beyond the disorder. In this article, we will provide a brief history of the evolution of voice therapy that encompasses the past and present, as well as providing directions for the future.
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Kuular, Edita K., Andrey I. Trufanov, and Alexei A. Tikhomirov. "Two-component network model in voice identification technologies." Bezopasnost informacionnyh tehnology 25, no. 1 (March 2018): 81–89. http://dx.doi.org/10.26583/bit.2018.1.08.

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12

Mayers, Scott A., Patrick Flannelly, and R. Craig Zavadil. "IMPROVING CUSTOMER SERVICE USING VOICE OVER IP TECHNOLOGIES." Proceedings of the Water Environment Federation 2004, no. 2 (January 1, 2004): 372–86. http://dx.doi.org/10.2175/193864704784342181.

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13

Strathmeyer, C. R. "Voice in computing: an overview of available technologies." Computer 23, no. 8 (August 1990): 10–15. http://dx.doi.org/10.1109/2.56866.

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14

Khrystyuk, Andriy, and Yevheniy Malanchuk. "Features of voice transmission in the LTE network." Modeling, Control and Information Technologies, no. 3 (October 30, 2019): 187–90. http://dx.doi.org/10.31713/mcit.2019.52.

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The main results of the research of methods of voice transmission in the fourth generation networks, the analysis of existing problems in voice transmission technologies, and also verification of quality and reliability of VoLTE technology in the laboratory environment are presented. Recommendations on the application of voice technology in LTE networks deployed in Ukraine, assessment of existing technologies used for transmitting voice over the fourth generation networks, and the creation of a test strategy for checking the reliability of voice transmission on the LTE network are presented
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15

Baron, Naomi S. "Do mobile technologies reshape speaking, writing, or reading?" Mobile Media & Communication 1, no. 1 (January 2013): 134–40. http://dx.doi.org/10.1177/2050157912459739.

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With the growth of mobile communication technologies, we increasingly use portable devices to produce and read text that previously existed in hardcopy or on stationary screens. Voice recognition software now enables us to speak rather than write, potentially shifting the current dominance of texting over voice calls on mobile phones. This article describes contemporary studies of language use on mobile technologies and poses research questions for new investigations.
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16

Kumah-Crystal, Yaa, Claude Pirtle, Harrison Whyte, Edward Goode, Shilo Anders, and Christoph Lehmann. "Electronic Health Record Interactions through Voice: A Review." Applied Clinical Informatics 09, no. 03 (July 2018): 541–52. http://dx.doi.org/10.1055/s-0038-1666844.

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Background Usability problems in the electronic health record (EHR) lead to workflow inefficiencies when navigating charts and entering or retrieving data using standard keyboard and mouse interfaces. Voice input technology has been used to overcome some of the challenges associated with conventional interfaces and continues to evolve as a promising way to interact with the EHR. Objective This article reviews the literature and evidence on voice input technology used to facilitate work in the EHR. It also reviews the benefits and challenges of implementation and use of voice technologies, and discusses emerging opportunities with voice assistant technology. Methods We performed a systematic review of the literature to identify articles that discuss the use of voice technology to facilitate health care work. We searched MEDLINE and the Google search engine to identify relevant articles. We evaluated articles that discussed the strengths and limitations of voice technology to facilitate health care work. Consumer articles from leading technology publications addressing emerging use of voice assistants were reviewed to ascertain functionalities in existing consumer applications. Results Using a MEDLINE search, we identified 683 articles that were reviewed for inclusion eligibility. The references of included articles were also reviewed. Sixty-one papers that discussed the use of voice tools in health care were included, of which 32 detailed the use of voice technologies in production environments. Articles were organized into three domains: Voice for (1) documentation, (2) commands, and (3) interactive response and navigation for patients. Of 31 articles that discussed usability attributes of consumer voice assistant technology, 12 were included in the review. Conclusion We highlight the successes and challenges of voice input technologies in health care and discuss opportunities to incorporate emerging voice assistant technologies used in the consumer domain.
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Pradhan, Alisha, and Amanda Lazar. "Voice Technologies to Support Aging in Place: Opportunities and Challenges." Innovation in Aging 4, Supplement_1 (December 1, 2020): 317–18. http://dx.doi.org/10.1093/geroni/igaa057.1016.

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Abstract Technology to support aging in place has been a topic of interest. Research indicates that older adults are increasingly using commercially available voice assistants in smart speakers. These devices enable non-visual interaction that does not require extensive expertise with traditional mobile or desktop computers, thus offering new possibilities of access to digital technology. We conducted two different studies with individuals aged 65 years old or above—a three week smart speaker deployment study with individuals who did not use computing devices regularly and a workshop on customizing internet of things technology with tech savvy individuals. Our findings indicate specific ways that these voice technologies might support aging in place, including ease of use and due to their not being identified with aging-specific technologies. We observed that participants consistently used their voice agent for finding online information, particularly health-related, emphasizing the need to revisit concerns about credibility of information with this new interaction medium. And, although features to support memory (e.g., setting timers, reminders) were initially perceived as useful, the actual usage was unexpectedly low due to reliability concerns. Our work provides a basis to understand older adults’ perceptions and usage of current voice technologies. We also identify opportunities for customizing voice technologies to better support aging in place.
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Yamada, Yoshiyasu, Yoshimasa Hijikata, Nobuaki Kawahara, Yoichi Fujisaka, and Seiji Nakagawa. "MEMS Technologies for Ubiquitous Computing World: Study on Voice Recognition Utilizing Bone-Conducted Voice." IEEJ Transactions on Sensors and Micromachines 124, no. 8 (2004): 272–77. http://dx.doi.org/10.1541/ieejsmas.124.272.

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19

Ruzaij, Mohammed Faeik, Sebastian Neubert, Norbert Stoll, and Kerstin Thurow. "Hybrid Voice Controller for Intelligent Wheelchair and Rehabilitation Robot Using Voice Recognition and Embedded Technologies." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 4 (July 19, 2016): 615–22. http://dx.doi.org/10.20965/jaciii.2016.p0615.

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The use of intelligent wheelchair and rehabilitation robots has increased rapidly in the recent years owing to a growing number of patients experiencing paralysis, quadriplegia, amputation, and geriatric conditions. In this paper, the design and development of a powerful voice control system is proposed. It includes three modes of operational voice-recognition algorithms. Two sophisticated voice-recognition modules are used to achieve this goal. The system supports speaker dependent (SD) and speaker independent (SI) voice processing. Two voice-recognition algorithms are used, dynamic time warping (DTW) and Hidden Markov Model (HMM), to ensure the maximum voice-recognition accuracy and reduce voice-recognition errors. The system is validated in different noise environments to verify the performance of the system with low and high noise and to evaluate the feasibility of using the system in these environments. Three popular languages (English, German, and Chinese) were used by the system to verify performance with different pronunciations.
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20

Warren, Kristina. "Sound Technologies as Agency-Granting Prosthesis to Vocal Body." Leonardo Music Journal 28 (December 2018): 30–33. http://dx.doi.org/10.1162/lmj_a_01039.

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Western voice is historically de-agentialized, that is, gendered female, opposed to performer self-listening, de-privileged relative to composition and rendered ocularcentric by recording technologies. However, by employing sound technologies as prosthesis to the vocal body, and by self-listening to manage the body-prosthesis relationship, contemporary extended voice practitioners figure as cyborgs reclaiming vocal agency, that is, input into mediation of and by one’s technologized vocal body.
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21

Watkins, Heather, and Richard Pak. "Investigating User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1800–1804. http://dx.doi.org/10.1177/1071181320641434.

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Technologies such as voice assistants can aid older adults aging in place by assisting with basic home and health tasks in daily routines. However, currently available voice assistants have a common design-they are vastly represented as young and female. Humans may apply stereotypes to human-computer interactions similarly to human-human interactions. When stereotypes are activated, users may lose trust or confidence in the abilities of the device, or even stop using the device all together. The two purposes of this study are to 1) investigate if users can detect the age and gender of voice assistants, and 2) understand the extent to which a voice assistant’s perceived gender, age, and reliability elicit stereotypic responses. A series of health-related vignettes will be utilized to assess perceptions of and stereotypic responses toward voice assistants in younger and older adults. In line with previous research examining healthcare agents (Pak et al., 2014), we hypothesize that voice assistants with younger male voices will be rated as more trustworthy and that high reliability will have a positive impact on ratings of trust.
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22

Lutsenko, K., and K. Nikulin. "VOICE SPEAKER IDENTIFICATION AS ONE OF THE CURRENT BIOMETRIC METHODS OF IDENTIFICATION OF A PERSON." Theory and Practice of Forensic Science and Criminalistics 19, no. 1 (April 2, 2020): 239–55. http://dx.doi.org/10.32353/khrife.1.2019.18.

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The article deals with the most widespread biometric identification systems of individuals, including voice recognition of the speaker on video and sound recordings. The urgency of the topic of identification of a person is due to the active informatization of modern society and the increase of flows of confidential information. The branches of the use of biometric technologies and their general characteristics are given. Here is an overview of the use of identification groups that characterize the voice. Also in the article the division of voice identification systems into the corresponding classes is given. The main advantages of voice biometrics such as simplicity of system realization are considered; low cost (the lowest among all biometric methods); No need for contact, the voice biometry allows for long-range verification, unlike other biometric technologies. The analysis of existing methods of speech recognition recognition identifying a person by a combination of unique voice characteristics, determining their weak and strong points, on the basis of which the choice of the most appropriate method for solving the problem of text-independent recognition, Namely the model of Gaussian mixtures, was carried out. The prerequisite for the development of speech technologies is a significant increase in computing capabilities, memory capacity with a significant reduction in the size of computer systems. It should also be Noted the development of mathematical methods that make it possible to perform the Necessary processing of an audio signal by isolating informative features from it. It has been established that the development of information technologies, and the set of practical applications, which use voice recognition technologies, make this area relevant for further theoretical and practical research.
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23

Smith, Jacob. "Tearing Speech to Pieces: Voice technologies of the 1940s." Music, Sound, and the Moving Image 2, no. 2 (December 2008): 183–206. http://dx.doi.org/10.3828/msmi.2.2.14.

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24

Lange, Holley R., George Philip, Bradley C. Watson, John Kountz, Samuel T. Waters, and George Doddington. "Voice technologies in libraries: A look into the future." Library Hi Tech 9, no. 3 (March 1991): 87–96. http://dx.doi.org/10.1108/eb047830.

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25

Alfano, Veronica. "Technologies of Forgetting: Phonographs, Lyric Voice, and Rossetti’s Woodspurge." Victorian Poetry 55, no. 2 (2017): 127–61. http://dx.doi.org/10.1353/vp.2017.0009.

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26

Lee, HeeᐨEun. "Why Do VoiceᐨActivated Technologies Sound Female? : Sound Technology and Gendered Voice of Digital Voice Assistants." Korean Journal of Communication & Information 90 (August 31, 2018): 126–53. http://dx.doi.org/10.46407/kjci.2018.08.90.126.

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27

Lebedeva, A. K. "PROBLEMS OF FORENSIC PHONOSCOPIC EXAMINATION IN THE LIGHT OF THE DEVELOPMENT OF DIGITAL TECHNOLOGIES." Courier of Kutafin Moscow State Law University (MSAL)), no. 6 (July 31, 2020): 62–71. http://dx.doi.org/10.17803/2311-5998.2020.70.6.062-071.

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The article deals with some problems related to the production of forensic speech and audio analysis, taking into account global digitalization of all spheres of human life. Voicechanger, technology of voice synthesis signifi cantly complicate forensic phonoscopic examinations and put before the forensic experts a new, interesting challenges. We consider the algorithm for changing the voice using modern software, as well as features of voice synthesis technologies. Some variants of studying such phonograms are proposed.
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WAYMAN, JAMES L. "FUNDAMENTALS OF BIOMETRIC AUTHENTICATION TECHNOLOGIES." International Journal of Image and Graphics 01, no. 01 (January 2001): 93–113. http://dx.doi.org/10.1142/s0219467801000086.

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Biometric authentication technologies are used for the machine identification of individuals. The human-generated patterns used may be primarily physiological or behavioral, but usually contain elements of both components. Examples include voice, handwriting, face, eye and fingerprint identification. In this paper, we look at these technologies and their applications in general, developing a systematic approach to classifying, analyzing and evaluating them. A general system model is shown and test results for a number of technologies are considered.
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Takhar, Jennifer. "The Voice Inside." Marketing Theory 20, no. 2 (December 30, 2019): 167–74. http://dx.doi.org/10.1177/1470593119897776.

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This in utero tale deconstructs the consumption and marketing of assisted reproductive technologies (ARTs). It aims to highlight the deep ambivalence and phantasmagoria that accompany such transbiological procedures which, though undertheorised by marketing scholars, especially through an introspective lens, are reshaping markets and fundamental understanding of life, death, health, kin, progress, hope, sex, capital and cure. The story also advances extant marketing research on autobiography and consumer introspection theory (CIT) by introducing ‘autobiological writing’, a genre of self-reflexive, creative life writing which foregrounds lived, biological and medicalised experiences, therefore exposing the emotional ‘truths’, ‘authentic voices’, volatile bodies and experiential insights that often prove difficult to access and capture for consumer researchers. As liberatory narratives for the writers themselves and the researchers who extrapolate meaning from them, autobiological accounts offer unique critical cultural perspectives, in this case, on complex reprogenetic consumption.
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Liu, Wen Yun, Jing Lei Wang, and Xiao Na Feng. "Research on the Method to Improve the Performance of VoiceXML." Applied Mechanics and Materials 65 (June 2011): 467–71. http://dx.doi.org/10.4028/www.scientific.net/amm.65.467.

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In order to improve the efficiency of voice analysis, the authors make a series of study on the cache technologies of improving VoiceXML voice system performance, and in this paper the authors propose a new method of using sharing DOM tree to improve VoiceXML voice system performance.
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Stroud, Christopher, Quentin Williams, Ndimphiwe Bontiya, Janine Harry, Koki Kapa, Jaclisse Mayoma, Sibonile Mpendukana, Amiena Peck, Jason Richardson, and Shanleigh Roux. "TALKING PARTS, TALKING BACK: FLESHING OUT LINGUISTIC CITIZENSHIP." Trabalhos em Linguística Aplicada 59, no. 3 (September 2020): 1636–58. http://dx.doi.org/10.1590/010318138877711120201211.

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ABSTRACT One of the greatest challenges of our times is that of lack of voice for abused bodies. These are the bodies of children and men and women who have inherited the brutalities of colonialism, plantation servitude and slavery and now re-live these miseries in the belly of a rampant global neoliberal and patriarchal capitalism. They are the racialized, sexualized, genderized and godless bodies that first took form in coloniality-modernity in conjunction with the emergence of MAN, the White, rational, disembodied male as HUMAN. They retain their shape today through technologies of vulnerability, with which the manufactured lack of voice works in dynamic synergy. This is particularly the case for South Africa, with its tender histories and distraught presents, raw emotion and sore vulnerabilities of racialized and neoliberal patriarchy. In this paper, we suggest that vulnerability, beyond its potentially devastating effect on souls and livelihoods, may also be a productive site for the articulation of alternative, and habitually silenced voices. In this regard, we explore how a focus on acts of Linguistic Citizenship may orientate thinking on voice and agency to different sites of the body, as well as allow insight into the complex technologies and practices of vulnerability.
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Pauletto, Sandra, Bruce Balentine, Chris Pidcock, Kevin Jones, Leonardo Bottaci, Maria Aretoulaki, Jez Wells, Darren P. Mundy, and James Balentine. "Exploring expressivity and emotion with artificial voice and speech technologies." Logopedics Phoniatrics Vocology 38, no. 3 (September 12, 2013): 115–25. http://dx.doi.org/10.3109/14015439.2013.810303.

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33

Lange, Holley R. "The voice as computer interface: a look at tomorrow's technologies." Electronic Library 9, no. 1 (January 1991): 7–11. http://dx.doi.org/10.1108/eb045025.

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34

Furui, Sadaoki. "Recent Advances in Voice Signal Processing. Application Technologies. Speaker Recognition." Journal of the Institute of Television Engineers of Japan 47, no. 12 (1993): 1600–1603. http://dx.doi.org/10.3169/itej1978.47.1600.

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35

Olwage, Grant. "Paul Robeson's Microphone Voice and the Technologies of Easy Singing." Technology and Culture 59, no. 4 (2018): 823–49. http://dx.doi.org/10.1353/tech.2018.0087.

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36

Lee, Wookey, Jessica Jiwon Seong, Busra Ozlu, Bong Sup Shim, Azizbek Marakhimov, and Suan Lee. "Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review." Sensors 21, no. 4 (February 17, 2021): 1399. http://dx.doi.org/10.3390/s21041399.

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Voice is one of the essential mechanisms for communicating and expressing one’s intentions as a human being. There are several causes of voice inability, including disease, accident, vocal abuse, medical surgery, ageing, and environmental pollution, and the risk of voice loss continues to increase. Novel approaches should have been developed for speech recognition and production because that would seriously undermine the quality of life and sometimes leads to isolation from society. In this review, we survey mouth interface technologies which are mouth-mounted devices for speech recognition, production, and volitional control, and the corresponding research to develop artificial mouth technologies based on various sensors, including electromyography (EMG), electroencephalography (EEG), electropalatography (EPG), electromagnetic articulography (EMA), permanent magnet articulography (PMA), gyros, images and 3-axial magnetic sensors, especially with deep learning techniques. We especially research various deep learning technologies related to voice recognition, including visual speech recognition, silent speech interface, and analyze its flow, and systematize them into a taxonomy. Finally, we discuss methods to solve the communication problems of people with disabilities in speaking and future research with respect to deep learning components.
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Darroch, Michael. "Digital Multivocality and Embodied Language in Theatrical Space." Mettre en scène, no. 12 (February 19, 2010): 95–114. http://dx.doi.org/10.7202/039233ar.

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Abstract This paper investigates the changing relation of the human voice to theatrical space. Innovations in digital sound technologies are reconfiguring the materiality of the voice and, consequently, the mediality of contemporary theatre. Western theatre, which developed alongside the shift from an oral to a visually-oriented, literate society, has largely remained a visual medium that continually subsumes orality. New media of the 19th and 20th centuries prompted various proposals for a “total theatre,” which generally worked towards removing voice and language from the theatrical environment. Drawing upon the recent multivocal works of Quebec artist Marie Brassard, the author proposes that today’s digital sound technologies are redrawing the possibilities for voice in a theatre that enables, in McLuhan’s terms, the constant “interplay of the senses” within a new acoustic space.
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Dailey, Seth H. "New Frontiers in Surgical and Medical Management of Voice." Perspectives on Voice and Voice Disorders 22, no. 2 (July 2012): 80–90. http://dx.doi.org/10.1044/vvd22.2.80.

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Rapid technological innovation, a growing interest in voice care, and evolving scientific discovery have helped catalyze rapid advances in the surgical care of voice patients. In this article, I will review new and emerging technologies in voice management from the perspective of the otolaryngologist. Advances include improved methods for visualizing the larynx, newer light applications that hold promise for early stage detection and monitoring of epithelial disease, and office-based methods for performing biopsies and physiological testing. In addition, I will review newer treatment options such as lasers, vocal fold injectables, and minimally invasive techniques for manipulating the arytenoid. Finally, I will present new frontiers in research for patients with lamina propria disease. Speech-language pathologists must be aware of new technologies as they emerge to assure the best possible care of voice patients.
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Samorinha, Catarina, Mateusz Lichon, Susana Silva, and Mike Dent. "User involvement in assisted reproductive technologies: England and Portugal." Journal of Health Organization and Management 29, no. 5 (August 17, 2015): 582–94. http://dx.doi.org/10.1108/jhom-12-2014-0202.

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Purpose – The purpose of this paper is to compare user involvement in the case of assisted reproductive technologies in England and Portugal through the concepts of voice, choice and co-production, assessing the implications for user empowerment. Design/methodology/approach – This qualitative study draws primarily on policy review and uses exploratory semi-structured interviews with key informants as a way of illustrating points. Data on the following themes was compared: voice (users’ representativeness on licensing bodies and channels of communication between users and doctors); choice (funding and accessibility criteria; choice of fertility centres, doctors and level of care); and co-production (criteria through which users actively engage with health professionals in planning the treatment). Findings – Inter- and intra-healthcare systems variations between the two countries on choice and co-production were identified. Differences between funding and accessibility, regions, public and private sectors and attitudes towards doctor-patient relationship (paternalistic/partnership) were the key issues. Although consumer choice and indicators of co-production are evident in treatment pathways in both countries, user empowerment is not. This is limited by inequalities in accessibility criteria, dependence on doctors’ individual perspectives and lack of genuine and formal hearing of citizens’ voice. Originality/value – Enhancing users’ involvement claims for individual and organizational cultures reflecting user-centred values. Effective ways to incorporate users’ knowledge in shared decision making and co-design are needed to empower patients and to improve the delivery of care.
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Daher, Wajeeh. "Student Voice in the Mobile Phone Environment." International Journal of Mobile and Blended Learning 9, no. 3 (July 2017): 12–23. http://dx.doi.org/10.4018/ijmbl.2017070102.

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Student voice is recently attracting educational researchers' attention for its influence on various aspects of student lives and futures, as well as social life in general. Mobile technologies are proliferating in social and practical life. This article studies student voice in carrying out outdoor activities with mobile phones. Thirty middle school students participated in outdoor activities related to real life phenomena with the mobile phone. The research results indicate that the teacher's decisions and intentions to utilize the mobile technologies in the learning of mathematics outdoors set the stage for student voice in the mobile context. Furthermore, teacher support, the availability of the mobile phone and the outdoor activities facilitated student voice through enabling various students' actions and interactions: Freedom, autonomy, equality, participation, collaboration, decision making, sharing of ideas and taking the responsibility of the teacher. The consequences of students' learning in the outdoor mobile context included affective as well as social consequences.
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Tregubov, Vladimir N. "The use of artificial intelligence techniques for distance learning." Izvestiya of Saratov University. New Series. Series: Philosophy. Psychology. Pedagogy 21, no. 2 (June 24, 2021): 222–27. http://dx.doi.org/10.18500/1819-7671-2021-21-2-222-227.

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The article describes some practices of voice recognition technologies based on artificial intelligence to improve the educational process in a remote format. This is relevant to modern remote education environment. The author presents an analysis of existing approaches to the use of artificial intelligence technologies in the educational process. Elements of artificial intelligence in a specialist software make the educational process more modern and convenient both for the learner and the teacher. One of the implementations for a natural user interface is a voice-user interface, which recognizes words to understand spoken commands and to answer questions, it converts the text into speech. The author has carried out an analytical review of implementations of specialized applications for Yandex assistant in which, the voice interface is used to improve children's language skills. Algorithm development of an application for Google assistant which uses voice recognition technologies and artificial intelligence for for teaching a foreign language is described. The application can be used in the educational process for teaching academic English; it also allows to increase English vocabulary, train the construction of grammatically correct scientific expressions, and memorize scientific language patterns.
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42

Sa, Ning, and Xiaojun (Jenny) Yuan. "Examining User Perception and Usage of Voice Search." Data and Information Management 5, no. 1 (December 1, 2020): 40–47. http://dx.doi.org/10.2478/dim-2020-0046.

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AbstractWith the development of mobile technologies, voice search is becoming increasingly important in our daily lives. By investigating the general usage of voice search and user perception about voice search systems, this research aims to understand users’ voice search behavior. We are particularly interested in how users perform voice search, their topics of interest, and their preference toward voice search. We elicit users’ opinions by asking them to fill out an online survey. Results indicated that participants liked voice search because it was convenient. However, voice search was used much less frequently than keyboard search. The success rate of voice search was low, and the participants usually gave up voice search or switched to keyboard search. They tended to perform voice search when they were driving or walking. Moreover, the participants mainly used voice search for simple tasks on mobile devices. The main reasons why participants disliked voice search are attributed to the system mistakes and the fact that they were unable to modify the queries.
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43

Byker, Erik Jon, S. Michael Putman, Laura Handler, and Drew Polly. "Educational Technology and Student Voice: Examining Teacher Candidates’ Perceptions." World Journal on Educational Technology: Current Issues 6, no. 3 (August 5, 2017): 119. http://dx.doi.org/10.18844/wjet.v6i3.1687.

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Student Voice is a term that honors the participatory roles that students have when they enter learning spaces like classrooms. Student Voice is the recognition of students’ choice, creativity, and freedom. Seminal educationists—like Dewey and Montessori—centered the purposes of education in the flourishing and valuing of Student Voice. This article examines the relationship between the integration of educational technology and Student Voice . In particular, the article describes and reports on a mixed-methods study of teacher candidates’ (n=63) perceptions of and practices with integrating digital technology and Student Voice. The article has two objectives. The first objective is to examine how teacher candidates construct and define the term Student Voice. The second objective is to describe how teacher candidates integrate digital technology and Student Voice into their lesson plan ideas. The study had three findings. First, the teacher candidates most closely defined and connected Student Voice with creative freedom. Second, although the teacher candidates had learner-centered definitions for Student Voice it was difficult for them to translate their definitions into actual lesson plan ideas that included the integration of educational technology in order for students to create so that their voices could be heard. Third, the student questionnaire data also illustrated how teacher candidates had varied perceptions of the relationship between technology and Student Voice; the candidates were more likely to describe elementary students’ primary use of technology as “using apps or software to practice subject-area skills” or “playing educational games” than any other technology-rich activities. The teacher candidates were disconnected in their perceptions about what Student Voice meant and their proposed pedagogies to enhance Student Voice with digital technologies. To address the disconnect, the article discusses strategies that can guide teacher candidates to integrate educational technology into their lesson plans to allow students to create and for the Student Voice to resonate throughout the classroom community.
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Keane, Kjrsten, Daniel McCrea, and Miriam Russell. "Personalizing Feedback Using Voice Comments." Open Praxis 10, no. 4 (December 28, 2018): 309. http://dx.doi.org/10.5944/openpraxis.10.4.909.

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While text-based feedback is normally used by college instructors to help students improve their written assignments, it is important to consider using voice comment tools for further personalization. New and easily-accessible technologies provide this option. Our study focused on surveying undergraduates who received voice comments on their written assignments. Students were queried on their preferences for feedback delivery and survey questions probed student responses both quantitatively and qualitatively. Two voice comment tools were used: Adobe Acrobat Reader and Kaizena voice comments. Results showed the majority (66.7%) of students surveyed preferred the addition of voice comment feedback over written comments alone. Appendices supply tool information, full data sets and extensive student commentary regarding their experience after receiving voice comments.
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Åkervall, Lisa. "The Auto-Tuned Self: Modulating Voice and Gender in Digital Media Ecologies." Camera Obscura: Feminism, Culture, and Media Studies 36, no. 2 (September 1, 2021): 65–97. http://dx.doi.org/10.1215/02705346-9052802.

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Abstract This essay takes the auto-tuned viral video “Can't Hug Every Cat” as a point of entry for a broader analysis of how modulation decisively shapes politics, aesthetics, and gendering in contemporary digital ecologies. It uncovers how the exaggerated exhibitions of feminine vocal modulation in “Can't Hug Every Cat” entangle with generational feminist anxieties over gendered forms of articulation such as “sexy baby voice” and “upspeak.” It argues that the problematic of the modulated voice is both technologically and thematically central to political, technological, aesthetic, and gendered genealogies of media-technical modulation. The modulated voice given such extraordinary staging in “Can't Hug Every Cat” is therefore restored to the longer history of voice modulation, which is itself closely tied to the rise of control societies and digital media. In this perspective, techniques of voice modulation and social modulation are tandem technologies. The voice modulation that has figured prominently in media cultures in recent decades—from the music of Cher to T-Pain and beyond—is not merely a consequence of digital media and control societies but is also integral to their conditions of possibility. In this light, the rise of technologies for the modulation of the human voice since the nineteenth century is intertwined with the rise of new economic, political, and medical systems of control.
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46

Murphy, Maria. "Voicing the Clone: Laurie Anderson and Technologies of Reproduction." Feminist Review 127, no. 1 (March 2021): 56–72. http://dx.doi.org/10.1177/0141778920973023.

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In the 1980s, new reproductive technologies such as in vitro fertilisation and embryo transfer became commercially available in the United States, and somatic cell nuclear transfer—the cloning process by which Dolly the Sheep would be conceived in 1996—was in its experimental phase. While anxieties concerning these new technologies escalated in the popular sensorium, Laurie Anderson explored the phenomenon of cloning in a short musical film called What You Mean We? (1986) in which Anderson consults a design team to clone herself in order to manage her demanding workload. The videographic image of the clone is Anderson herself, performing in drag, and her clone’s body is partially created through the use of a pitch shifter which changes Anderson’s voice to that of the cloned—but ostensibly male—version of herself. In this article, I investigate Anderson’s technological consideration of the body, which extends beyond her own corporeality, to interrogate the biological and affective capacities of clones. I consider how Anderson addresses the convergence of reproductive technologies, the market and the creation of subjects within this market as participating in a shift in how voices are heard, governed and reproduced in the latter half of the twentieth century.
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Gao, Yang, Yincheng Jin, Jagmohan Chauhan, Seokmin Choi, Jiyang Li, and Zhanpeng Jin. "Voice In Ear." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (March 19, 2021): 1–25. http://dx.doi.org/10.1145/3448113.

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With the rapid growth of wearable computing and increasing demand for mobile authentication scenarios, voiceprint-based authentication has become one of the prevalent technologies and has already presented tremendous potentials to the public. However, it is vulnerable to voice spoofing attacks (e.g., replay attacks and synthetic voice attacks). To address this threat, we propose a new biometric authentication approach, named EarPrint, which aims to extend voiceprint and build a hidden and secure user authentication scheme on earphones. EarPrint builds on the speaking-induced body sound transmission from the throat to the ear canal, i.e., different users will have different body sound conduction patterns on both sides of ears. As the first exploratory study, extensive experiments on 23 subjects show the EarPrint is robust against ambient noises and body motions. EarPrint achieves an Equal Error Rate (EER) of 3.64% with 75 seconds enrollment data. We also evaluate the resilience of EarPrint against replay attacks. A major contribution of EarPrint is that it leverages two-level uniqueness, including the body sound conduction from the throat to the ear canal and the body asymmetry between the left and the right ears, taking advantage of earphones' paring form-factor. Compared with other mobile and wearable biometric modalities, EarPrint is a low-cost, accurate, and secure authentication solution for earphone users.
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Robinson, Erin L., Geunhye Park, Shradha Shalini, Trevor Levins, Kari R. Lane, Marjorie Skubic, and Brianna Markway. "HARNESSING VOICE-ASSISTED TECHNOLOGY AND IN-HOME SENSORS TO MANAGE OLDER ADULT HEALTH: A USER PREFERENCE STUDY." Innovation in Aging 3, Supplement_1 (November 2019): S926—S927. http://dx.doi.org/10.1093/geroni/igz038.3374.

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Abstract In recent years voice-assisted technologies, such as the Amazon Echo Show and Google Home, have been harnessed to help older adults manage their health. However, little is known about the use of such technologies in combination with in-home sensor systems to help older adults age in place. Therefore, this research explored user preferences of older adults and a designated family member/friend in using voice-assisted technologies to retrieve in-home sensor-generated health information, such as fall risk and other early indicators of health changes. Seventeen dyad interviews were conducted with known pairs of older adults (Mean age=75; 56% female) and a family member/friend (Mean age=64; 89% female). Participants were given a description of the technology and its capabilities, and then were instructed to interact with each device using a prepared scenario. Participants asked each device health-related questions to elicit pre-programmed information for the respective scenarios and provided user experience feedback for each device. At the end of the interview, participants completed a speech recognition test for each device and a technology acceptance survey. Overall acceptance of the technology was high, and participants believed that using voice-assisted technologies to retrieve sensor-generated health information would be beneficial in managing their health or providing care to a family member/friend. However, advantages and disadvantages exist with each device and the Google Home generally performed better on the speech recognition test for each dyad pair. These findings provide valuable insight about older adults’ preferences (as well as family members’/friends) in using voice-assisted technologies to manage their health.
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Sanyal, Rajarshi. "ISDN User Part Traffic Optimization in the SS7 Network." International Journal of Interdisciplinary Telecommunications and Networking 5, no. 4 (October 2013): 53–72. http://dx.doi.org/10.4018/ijitn.2013100104.

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The state of the art Long Term Evolution (LTE) mobile core networks predominantly use Session Initiation Protocol (SIP) and Real-time Transport Protocol (RTP) for transporting voice across networks. Voice-over-LTE (VoLTE) designed for LTE network based on an IP Multimedia System (IMS)) framework is the key to enriched voice communication services for the next generation networks. Emerging technologies like Rich Communication Suite, Web Real-Time Communication (WebRTC) will impart a new dimension to voice communications and harmonise voice and value added services. Many of the mobile networks and voice carriers evolved their network from traditional Time-Division Multiplexing (TDM) / Asynchronous Transfer Mode (ATM) to Internet Protocol (IP). Several interworking protocols have appeared for interexchange of Voice traffic between TDM and IP. SIP to ISDN User Part (ISUP) interoperability mechanisms have been devised. But, in spite of all the endeavours of the mobile networks move to the next generation, it will probably take some time for the networks to completely migrate from UMTS to LTE. As both the technologies will coexist, Circuit Switched Fallback (CSFB) and Single Radio Voice Call Continuity (SRVCC) are two of the most preferred options in the interim to switch from 4G to 3G when the coverage is lost. 3G networks rely still on circuit switching. It can be inferred that circuit switched networks piggybacking on ISUP for voice communication will continue. In this paper, we examine the ISUP signalling aspects to optimize the load sharing and streamline the performance of the traditional voice core networks. We will study the dependencies of the Circuit Identification Code (CIC) selection process on ISUP load sharing to derive our conclusions.
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Coyne, Marty, Colby Thomas, Ashley Collimore, Chris Franzese, and Charles Hwang. "Early User Centered Insights on Voice Integrated Technologies Through Retrospective Analysis." Iproceedings 3, no. 1 (September 22, 2017): e49. http://dx.doi.org/10.2196/iproc.8576.

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