Relevant bibliographies by topics / Interactive Voice Response

Academic literature on the topic 'Interactive Voice Response'

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Published: 4 June 2021
Last updated: 25 January 2023

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Journal articles on the topic "Interactive Voice Response"

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Chernov, A. D., and M. V. Krivov. "INTERACTIVE VOICE RESPONSE SYSTEM." Modern Technologies and Scientific and Technological Progress 1, no. 1 (April 12, 2019): 174–75. http://dx.doi.org/10.36629/2686-9896/2019-1-1-174-175.

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Brahme, Natasha, Ayushi Malhotra, Harsh Panchal, Chirag Waghela, and Dr Kotak V.C. "Interactive Voice Response Kiosk." IJARCCE 6, no. 3 (March 30, 2017): 267–69. http://dx.doi.org/10.17148/ijarcce.2017.6360.

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Hammond, Dan. "Extensible Interactive Voice Response." Journal of the Acoustical Society of America 130, no. 1 (2011): 640. http://dx.doi.org/10.1121/1.3615775.

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Abanoz, Hüseyin, and Özgür Erbaş. "Mass-IVR — A High Performance Outbound Interactive Voice Response Management System." International Journal of Computer Theory and Engineering 8, no. 4 (August 2016): 295–98. http://dx.doi.org/10.7763/ijcte.2016.v8.1061.

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LaVigne, Marnie, and Kent A. Tapper. "Interactive Voice Response in Disease Management." Disease Management and Health Outcomes 4, no. 1 (1998): 1–16. http://dx.doi.org/10.2165/00115677-199804010-00001.

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KumarSingh, Sharad. "XML based Interactive Voice Response System." International Journal of Computer Applications 74, no. 14 (July 26, 2013): 31–35. http://dx.doi.org/10.5120/12955-0078.

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Poultney, Timothy David. "Interactive voice response method and apparatus." Journal of the Acoustical Society of America 128, no. 6 (2010): 3829. http://dx.doi.org/10.1121/1.3544458.

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Aditee, Desale. "Interactive Voice Response Based Voting Systemd." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 3 (2015): 1048–51. http://dx.doi.org/10.17762/ijritcc2321-8169.150333.

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., Mahammad Rafi. "SPEECH ENABLED INTERACTIVE VOICE RESPONSE SYSTEM." International Journal of Research in Engineering and Technology 05, no. 01 (January 25, 2016): 190–92. http://dx.doi.org/10.15623/ijret.2016.0501038.

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Coxhead, Philip Randall. "Controlling interactive voice response system performance." Journal of the Acoustical Society of America 112, no. 5 (2002): 1741. http://dx.doi.org/10.1121/1.1526578.

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Dissertations / Theses on the topic "Interactive Voice Response"

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Brunk, Alexander Crowley. "Interactive Voice Response Polling in Election Campaigns." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51239.

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Since the early 2000s, Interactive Voice Response (IVR) has become a widely popular method of conducting public opinion surveys in the United States. IVR surveys use an automated computer voice to ask survey questions and elicit responses in place of a live interviewer. Previous studies have shown that IVR polls conducted immediately before elections are generally accurate, but have raised questions as to their validity in other contexts. This study examines whether IVR polls generate measurably different levels of candidate support when compared to live interviewer polls, as a result of non-response bias owing to lower response rates in IVR surveys. It did so by comparing polling in 2010 U.S. gubernatorial and U.S. Senate elections that was conducted using both live interviewers and IVR. The findings suggest that in general elections, IVR polls find fewer undecided voters compared to surveys conducted using live interviewers. In primary elections, IVR polls can show larger support than live interview polls for a more ideologically extreme candidate who has high levels of support among more opinionated and engaged voters. Implications are that journalists and other consumers of polling data should take into account whether a poll was conducted using IVR or live interviewers when interpreting results. IVR polls may tend to over-sample more engaged and opinionated voters, often resulting in smaller percentages of undecided respondents, and higher levels of support for specific candidates in certain contexts.
Master of Arts
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Jiang, Chaomei. "Integration of interactive voice response unit and outage management system." [Denver, Colo.] : Regis University, 2005. http://165.236.235.140/lib/CJiang2005.pdf.

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Campbell, Nicole M. "Interactive Voice Response Systems and Reductions in Substance Use in Adults." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1258698677.

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Kenttälä, K. (Kalle). "Interactive voice response system and eye-tracking interface in assistive technology for disabled." Bachelor's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201905282194.

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Abstract. The development of ICT has been very fast in the last few decades and it is important that everyone can benefit from this progress. It is essential for designing user interfaces to keep up on this progress and ensure the usability and accessibility of new innovations. The purpose of this academic literature review has been to study the basics of multimodal interaction, emphasizing on context with multimodal assistive technology for disabled people. From various modalities, interactive voice response and eye-tracking were chosen for analysis. The motivation for this work is to study how technology can be harnessed for assisting disabled people in daily life.
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Commarford, Patrick. "WORKING MEMORY, SEARCH, AND SIGNAL DETECTION: IMPLICATIONS FOR INTERACTIVE VOICE RESPONSE SYSTEM MENU DESIGN." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4050.

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Many researchers and speech user interface practitioners assert that interactive voice response (IVR) menus must be relatively short due to constraints of the human memory system. These individuals commonly cite Miller's (1956) paper to support their claims. The current paper argues that these authors commonly misuse the information provided in Miller's paper and that hypotheses drawn from modern theories of working memory (e.g., Baddeley and Hitch, 1974) would lead to the opposite conclusion – that reducing menu length by creating a greater number of menus and a deeper structure will actually be more demanding on users' working memories and will lead to poorer performance and poorer user satisfaction. The primary purpose of this series of experiments was to gain a greater understanding of the role of working memory in speech-enabled IVR use. The experiments also sought to determine whether theories of visual search and signal detection theory (SDT) could be used to predict auditory search behavior. Results of this experiment indicate that creating a deeper structure with shorter menus is detrimental to performance and satisfaction and more demanding of working memory resource. Further the experiment provides support for arguments developed from Macgregor, Lee, and Lam's dual criterion decision model and is a first step toward applying SDT to the IVR domain.
Ph.D.
Department of Psychology
Arts and Sciences
Psychology
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Chengegowda, Venkatesh. "Analysis of Queues for Interactive Voice and Video Response Systems : Two Party Video Calls." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102451.

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Video conversation on mobile devices is popularizing with the advent of 3G. The enhanced network capacity thus available enables transmission of video data over the internet. It has been forecasted by several VOIP service organizations that the present IVR systems will evolve into Voice and Video Response (IVVR) Systems. However, this evolution has many technical challenges on the way. Architectures to implement queuing systems for video data and standards for inter conversion of video data between the formats supported by calling parties are two of these challenges. This thesis is an analysis of queues and media transcoding for IVVRs. A major effort in this work involves constructing a prototype IVVR queuing system. The system is constructed by using an open source server named Asterisk and MySql database. Asterisk is a SIP based Public Exchange Server (PBX) and also a development environment for VOIP based IVRs. Functional scenarios for SIP session establishment and the corresponding session setup times for this queueing model are measured. The results indicate that the prototype serves as a sufficient model for a queue, although a significant delay is introduced for session establishment.  The work also includes analysis of integrating DiaStar™, is a SIP based media transcoding engine to this queue. However, this system is not complete to function with DiaStar for media translation. The study concludes with a mention of the areas for future work on this particular system and the general state of IVVR queuing systems in the industry.
Videosamtal på mobila enheter är popularisera med tillkomsten av 3G. Den förbättrade nätkapacitet så tillgänglig möjliggör överföring av videodata över Internet. Det har prognos av flera VOIP serviceorganisationer att de nuvarande IVR-system kommer att utvecklas till röst och video Response (IVVR) System. Dock har denna utveckling många tekniska utmaningar på vägen. Arkitekturer för att genomföra kösystem för videodata och standarder för bland konvertering av videodata mellan format som stöds för uppringande är två av dessa utmaningar. Denna avhandling är en analys av köer och media kodkonvertering för IVVRs. En stor insats i detta arbete innebär att bygga en prototyp IVVR kösystem. Systemet är konstruerat med hjälp av en öppen källkod-server som heter Asterisk och MySQL-databas. Asterisk är en SIP-baserad Public Exchange Server (PBX) och även en utvecklingsmiljö för VOIP-baserade IVRs. Funktionella scenarier för SIP session etablering och motsvarande sessionen inställningar för den föreslagna kö modell mäts. Resultaten indikerar att prototypen tjänar som en tillräcklig modell för en kö, även om en betydande fördröjning införs för sessionsupprättandebegäran. Arbetet omfattar även analys av integrering DiaStar™ är en SIP-baserad media kodkonvertering motor till denna kö. Emellertid är detta system inte helt att fungera med DiaStar för media translation. The studie avslutas med ett omnämnande av de områden för framtida arbete med detta system och det allmänna tillståndet i IVVR kö-system i branschen.
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Noel, Lauren Elizabeth. "The Role of Health Literacy in Intervention Engagement, Teach Back Performance, and Perceptions of Intervention Components." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23117.

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Background: Low health literacy is a significant problem affecting our country.  While the associations between low health literacy and poorer health outcomes have been well documented (Berkman et al., 2011), the literature lacks evidence of effective strategies to address health literacy in the context of health behaviors such as diet and physical activity (PA). Likewise, few interventions have reported on how health literacy status influences performance and engagement in the intervention. Two potential intervention strategies include the teach back method or teach to goal approach and interactive voice response (IVR) technology. These strategies hold promise as a means of improving health literacy and reaching vulnerable, low health literate populations, but these strategies have not been widely explored in the literature (Paasche-Orlow et al., 2005; Baker et al., 2011; Schillinger et al., 2009; Bennett et al., 2012; Piette et al., 1999). Primary Aims: This research was embedded in a larger trial, Talking Health, which is a 6-month, 2 group randomized controlled trial to determine the effects of a health behavior intervention on reducing sugar-sweetened beverage (SSB) consumption in Southwest Virginians. The primary aims of this study were to examine the associations between health literacy status and 1) number of rounds of teach back needed to reinforce key concepts, 2) proportion of correct answers on the first round of teach back, 3) level of intervention engagement (i.e., completion rates for teach back call, IVR calls, and small group classes), and 4) perceptions of the intervention components. Methods: The data reported represent the first 3 cohorts of the Talking Health trial including participants in Lee, Giles, and Pulaski Counties. Eligibility requirements included being 18 years or older, English speaking, consuming at least 200 calories per day from SSB, able to participate in moderate intensity PA, and having reliable access to a telephone. Data were collected at baseline and at the 6-month follow-up assessment. Health literacy was assessed using the validated Newest Vital Sign. Participants were randomized to a behavioral intervention aimed at decreasing SSB consumption (SipSmartER) or to a matched-contact control group targeting PA (Move More). Both groups participated in 3 small group education sessions, received a live teach back call, and 11 supportive IVR calls. Participants completed a summative evaluation at the 6-month follow-up, which captured their perceptions of the intervention components. ANOVAs were used to measure differences in outcomes by health literacy status, randomized condition, and interactions. Results: Of the 125 enrolled participants, 92.0% were Caucasian, 76.8% were female, 29.6% had d high school education, 64.0% had <$25,000 annual household income, and 32.8% had low health literacy skills. Eighty-five participants (68.0%) completed the teach back call. The overall model when looking at the degree to which health literacy status and randomized condition predicted the number of rounds of teach back needed to reinforce key concepts was significant (F= 8.323, p < 0.001). Out of 3 possible teach back attempts, participants in the low health literacy category required a significantly higher number of teach back attempts as compared to those with high health literacy (F= 16.769, p <0.001), and participants randomized to Move More required a significantly higher number of teach back attempts compared to SipSmartER participants (F=7.296, p= 0.008). Similarly, the overall model when looking at the degree to which health literacy status and randomized condition predicted the proportion correct on the first round of teach back was significant (F= 9.836, p<0.001), such that those with higher health literacy status  (F= 19.176, p< 0.001) and those randomized to SipSmartER condition answered a significantly higher proportion of questions correct (F= 9.783, p= 0.002). Intervention engagement including completion of the small group education sessions, the live teach back call, and the IVR calls did not vary significantly across randomized condition or literacy levels. Low health literate participants had a significantly higher overall perceived satisfaction with the IVR, as compared to high health literate participants (F= 5.849, p= 0.020). However, perceptions of other intervention components (e.g., small group sessions, teach back call, personal action plans, drink diaries/exercise logs,) were similar among participants with low and high health literacy status and across randomized conditions.   Conclusion: These data confirm the importance for multiple teach back opportunities and additional exposure to health information to ensure participant comprehension of key intervention content"in particular for those with lower health literacy. This research also supports that IVR is an effective approach to reaching vulnerable, low health literate populations. Future research should investigate the efficacy and cost-effectiveness of utilizing teach back methods delivered using automated technologies. Future research also is needed to determine how teach back performance are related to other study factors such as retention, engagement, and health outcomes.
Master of Science
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Dulude, Louise. "Usability of interactive voice response systems in real-life tasks performed by old and young women." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57703.pdf.

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Dulude, Louise Carleton University Dissertation Psychology. "Usability of interactive voice response systems in real-life tasks performed by old and young women." Ottawa, 2000.

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Miller, Delyana Ivanova. "Interactive Voice Response Systems and Older Adults: Examination of the Cognitive Factors Related to Successful IVR Interaction and Proof-of-Principle of IVR Administration and Scoring of Neuropsychological Tests." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24294.

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The main goal of this project was to enhance the use and usability of Interactive Voice Response Systems (IVR) for older people. The objective of study one was to examine older people’s perceptions of the technology and identify the most common difficulties experienced by older people when interactive with IVR using focus groups. Twenty-six people aged 65 and older took part in the study. Data were analyzed using frequency and chi square analyses. The results revealed negative attitudes towards the technology. Long menus, frustration about not being able to reach an operator and absence of shortcuts were some of the most common difficulties reported by participants. Study two examined the cognitive factors predicting successful IVR interaction in four commercially available IVR systems in a sample of 185 older adults. Linear regressions were performed on the data. Results indicated that working memory and auditory memory were the best predictors of successful IVR interaction. Using the same sample of participants as study two, study three examined older adults’ attitudes towards the four IVR systems in relation to their success in interacting with the technology. The study also evaluated the impact of gender on success and attitudes towards IVR. There was a significant positive correlation between success with IVR and favorable attitudes towards the technology. No gender differences emerged in both performance on IVR tasks and attitudes towards the technology. Study four evaluated the feasibility of using a voice-activated IVR to administer and score three short neuropsychological tests using a sub sample of the original sample of 185 older adults involved in study two and three. One hundred and fifty eight participants took part in the study. Results showed high correlations between the IVR and clinician scoring of the three tests. Nevertheless, a number of discrepancies and technical issues were discovered.
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Books on the topic "Interactive Voice Response"

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Ontario. Esquisse de cours 12e année: Danse atc4m cours préuniversitaire. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: Histoire de l'Occident et du monde chy4c cours précollégial. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: English eae4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: Comptabilité de la petite entreprise ban4e. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: Mathématiques de la vie courante mel4e cours préemploi. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: English eae4c cours précollégial. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: The writer's craft eac4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: Français fra4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: Géographie mondiale: le milieu humain cgu4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.

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Ontario. Esquisse de cours 12e année: L'Ontario français chf4o. Vanier, Ont: CFORP, 2002.

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Book chapters on the topic "Interactive Voice Response"

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Nahler, Gerhard. "interactive voice response system (IVRS)." In Dictionary of Pharmaceutical Medicine, 95. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_711.

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Helber, Stefan, and Raik Stolletz. "Interactive Voice Response (IVR): Lassen Sie Maschinen sprechen." In Call Center Management in der Praxis, 95–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17150-5_5.

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Kim, Hee-Cheol, Deyun Liu, and Ho-Won Kim. "Inherent Usability Problems in Interactive Voice Response Systems." In Lecture Notes in Computer Science, 476–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21619-0_59.

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Burton, Graeme. "Interactive Voice Response — More Power to the Students." In Information Technology in Educational Management, 117–21. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34839-1_15.

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Gunawardena, Subodha, and Weihua Zhuang. "Service Response Time of Interactive Data Traffic." In Modeling and Analysis of Voice and Data in Cognitive Radio Networks, 71–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04645-7_4.

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Yue, Jiaxin, Zhong Wang, and Yixin Ran. "SIP-Based Interactive Voice Response System Using FreeSwitch EPBX." In Advances in Intelligent Systems and Computing, 614–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34387-3_75.

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Asthana, Siddhartha, Pushpendra Singh, and Amarjeet Singh. "Assessing Designs of Interactive Voice Response Systems for Better Usability." In Design, User Experience, and Usability. Design Philosophy, Methods, and Tools, 183–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39229-0_21.

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Subhashini, R., R. Sethuraman, and V. Milani. "Providing Mother and Child Care Telemedicine Through Interactive Voice Response." In Advances in Intelligent Systems and Computing, 771–78. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2012-1_83.

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Melillo, P., L. Pecchia, and M. Bracale. "Interactive Voice Response System for home telemonitoring of heart failure patients." In IFMBE Proceedings, 153–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03904-1_43.

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Kim, Hee-Cheol. "An Experimental Study to Explore Usability Problems of Interactive Voice Response Systems." In Intelligent Information and Database Systems, 169–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28493-9_19.

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Conference papers on the topic "Interactive Voice Response"

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Patel, P. B., and T. Marwala. "Interactive Voice Response field classifiers." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811827.

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Karademir, Ramazan, and Emre Heves. "Dynamic interactive voice response (IVR) platform." In IEEE EUROCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/eurocon.2013.6624972.

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Yadav, Mr V. P., and Dr P. S. Prasad. "Interactive Voice Response System through WiFi Calling." In International Conference on Science and Engineering for Sustainable Development. Infogain Publication, 2017. http://dx.doi.org/10.24001/ijaems.icsesd2017.106.

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Yacoub, Sherif, Steve Simske, Xiaofan Lin, and John Burns. "Recognition of emotions in interactive voice response systems." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-307.

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Ansari, Abdullah Mohammad, Md Faisal Nehal, and Mohammed Abdul Qadeer. "SIP-based Interactive Voice Response System using FreeSwitch EPBX." In 2013 Tenth International Conference on Wireless and Optical Communications Networks - (WOCN). IEEE, 2013. http://dx.doi.org/10.1109/wocn.2013.6616224.

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Asthana, Siddhartha, Pushpendra Singh, and Amarjeet Singh. "Exploring the usability of interactive voice response system's design." In the 3rd ACM Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2442882.2442924.

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Thirumaran, M., Subham Soni, and Brendha G. Gayathry. "An Intelligent Interactive Voice Response System for Banking Domain." In the 2015 International Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2743065.2743073.

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Thirumaran, M., N. Sivakumar, P. Banupriya, and T. Bhargavi. "Self-Regulating Interactive Voice Response System Using Backpatching Technique." In ICIA-16: International Conference on Informatics and Analytics. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2980258.2982127.

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Inam, Itorobong A., Ambrose A. Azeta, and Olawande Daramola. "Comparative analysis and review of interactive voice response systems." In 2017 Conference on Information Communication Technology and Society (ICTAS). IEEE, 2017. http://dx.doi.org/10.1109/ictas.2017.7920660.

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Hamidi, Mohamed, Hassan Satori, Ouissam Zealouk, Khalid Satori, and Naouar Laaidi. "Interactive Voice Response Server Voice Network Administration Using Hidden Markov Model Speech Recognition System." In 2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4). IEEE, 2018. http://dx.doi.org/10.1109/worlds4.2018.8611591.

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Reports on the topic "Interactive Voice Response"

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Burger, E. IANA Registry for MEDIACTRL Interactive Voice Response Control Package. RFC Editor, May 2012. http://dx.doi.org/10.17487/rfc6623.

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McGlashan, S., T. Melanchuk, and C. Boulton. An Interactive Voice Response (IVR) Control Package for the Media Control Channel Framework. RFC Editor, May 2011. http://dx.doi.org/10.17487/rfc6231.

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Jennings, C., F. Audet, and J. Elwell. Session Initiation Protocol (SIP) URIs for Applications such as Voicemail and Interactive Voice Response (IVR). RFC Editor, April 2006. http://dx.doi.org/10.17487/rfc4458.

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