Academic literature on the topic 'Spoken Dialog System'
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Journal articles on the topic "Spoken Dialog System"
Kim, A.-Yeong, Hyun-Je Song, and Seong-Bae Park. "A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing." Computational Intelligence and Neuroscience 2018 (October 18, 2018): 1–11. http://dx.doi.org/10.1155/2018/5798684.
Full textDemberg, Vera, Andi Winterboer, and Johanna D. Moore. "A Strategy for Information Presentation in Spoken Dialog Systems." Computational Linguistics 37, no. 3 (September 2011): 489–539. http://dx.doi.org/10.1162/coli_a_00064.
Full textHuang, Ting-Hao, Walter Lasecki, and Jeffrey Bigham. "Guardian: A Crowd-Powered Spoken Dialog System for Web APIs." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (September 23, 2015): 62–71. http://dx.doi.org/10.1609/hcomp.v3i1.13237.
Full textGriol, David, José Antonio Iglesias, Agapito Ledezma, and Araceli Sanchis. "A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems." International Journal of Neural Systems 26, no. 01 (January 5, 2016): 1650002. http://dx.doi.org/10.1142/s0129065716500027.
Full textMestrovic, Ana, Luka Bernic, Miran Pobar, Sanda Martincic-Ipsic, and Ivo Ipsic. "A Croatian Weather Domain Spoken Dialog System Prototype." Journal of Computing and Information Technology 18, no. 4 (2010): 309. http://dx.doi.org/10.2498/cit.1001916.
Full textIp�i�, Ivo, and Nikola Pave�i�. "An Overview of the Slovenian Spoken Dialog System." Journal of Computing and Information Technology 10, no. 4 (2002): 295. http://dx.doi.org/10.2498/cit.2002.04.04.
Full textStoyanchev, Svetlana, and Amanda J. Stent. "Concept Type Prediction and Responsive Adaptation in a Dialogue System." Dialogue & Discourse 3, no. 1 (February 10, 2012): 1–31. http://dx.doi.org/10.5087/dad.2012.101.
Full textOu, Yang-Yen, Ta-Wen Kuan, Anand Paul, Jhing-Fa Wang, and An-Chao Tsai. "Spoken dialog summarization system with HAPPINESS/SUFFERING factor recognition." Frontiers of Computer Science 11, no. 3 (June 2017): 429–43. http://dx.doi.org/10.1007/s11704-016-6190-2.
Full textNagai, Akito. "Spoken dialog system capable of performing natural interactive access." Journal of the Acoustical Society of America 112, no. 1 (2002): 22. http://dx.doi.org/10.1121/1.1500923.
Full textDELISLE, SYLVAIN, BERNARD MOULIN, and TERRY COPECK. "Surface-marker-based dialog modelling: A progress report on the MAREDI project." Natural Language Engineering 9, no. 4 (November 25, 2003): 325–63. http://dx.doi.org/10.1017/s1351324903003231.
Full textDissertations / Theses on the topic "Spoken Dialog System"
Takeda, Kazuya, Norihide Kitaoka, and Sunao Hara. "Automatic detection of task-incompleted dialog for spoken dialog system based on dialog act N-gram." ISCA(International Speech Communication Association), 2010. http://hdl.handle.net/2237/15498.
Full textIntilisano, Antonio Rosario. "Spoken dialog systems: from automatic speech recognition to spoken language understanding." Doctoral thesis, Università di Catania, 2016. http://hdl.handle.net/10761/3920.
Full textAcosta, Jaime Cesar. "Using emotion to gain rapport in a spoken dialog system." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Full textCarter, Teresa G. "Five-Factor Model as a Predictor for Spoken Dialog Systems." NSUWorks, 2016. http://nsuworks.nova.edu/gscis_etd/990.
Full textTakeda, Kazuya, Norihide Kitaoka, and Sunao Hara. "Detection of task-incomplete dialogs based on utterance-and-behavior tag N-gram for spoken dialog systems." ISCA(International Speech Communication Association), 2011. http://hdl.handle.net/2237/15499.
Full textMilhorat, Pierrick. "Une plate-forme ouverte pour la conception et l'implémentation de systèmes de dialogue vocaux en langage naturel." Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0087/document.
Full textRecently, global tech companies released so-called virtual intelligent personal assistants.This thesis has a bi-directional approach to the domain of spoken dialog systems. On the one hand, parts of the work emphasize on increasing the reliability and the intuitiveness of such interfaces. On the other hand, it also focuses on the design and development side, providing a platform made of independent specialized modules and tools to support the implementation and the test of prototypical spoken dialog systems technologies. The topics covered by this thesis are centered around an open-source framework for supporting the design and implementation of natural-language spoken dialog systems. Continuous listening, where users are not required to signal their intent prior to speak, has been and is still an active research area. Two methods are proposed here, analyzed and compared. According to the two directions taken in this work, the natural language understanding subsystem of the platform has been thought to be intuitive to use, allowing a natural language interaction. Finally, on the dialog management side, this thesis argue in favor of the deterministic modeling of dialogs. However, such an approach requires intense human labor, is prone to error and does not ease the maintenance, the update or the modification of the models. A new paradigm, the linked-form filling language, offers to facilitate the design and the maintenance tasks by shifting the modeling to an application specification formalism
Figueiredo, Sara Cristina Albuquerque. "Development of a dialog system for interaction with robots." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14030.
Full textService robots operate in the same environment as humans and perform actions that a human usually performs. These robots must be able to operate autonomously in unknown and dynamic environments, as well as to maneuver with several people and know how to deal with them. By complying with these requirements, they are able to successfully address humans and fulfill their requests whenever they need assistance in a certain task. Natural language communication, including speech that is the most natural way of communication between humans, becomes relevant in the field of Human-Robot Interaction (HRI). By endowing service robots with intuitive spoken interfaces, the specification of the human required tasks is facilitated. However, this is a complicated task to achieve due to the resources involved in creating a sufficiently intuitive spoken interface and because of the difficulty of deploying it in different robots. The main objective of this thesis is the definition, implementation and evaluation of a dialogue system that can be easily integrated into any robotic platform and that functions as a flexible base for the creation of any conversational scenario in the Portuguese language. The system must meet the basic requirements for intuitive and natural communications, namely the characteristics of human-human conversations. A system was developed that functions as a base to give continuity to future work on Spoken Dialog Systems. The system incorporates the client-server architecture, where the client runs on the robot and captures what the user says. The client takes advantage on external dialogue management services. They are executed by the server, which processes the audio obtained, returning an appropriate response given the context of the dialogue. The development was based on a critical analysis of the state of the art in order for the system to be as faithful as possible to what is already done. Through the evaluation phase of the system, it was managed to obtain by few volunteers the conclusion that the main objective was accomplished: a base system was created that is flexible enough to explore different contexts of conversation, such as interacting with children or providing information on a university environment.
Os robôs de serviço operam no mesmo ambiente dos humanos e executam ações que um humano normalmente executaria. Estes robôs devem ser capazes de operar de forma autónoma em ambientes desconhecidos e dinâmicos, assim como de manobrar em ambientes com várias pessoas e de saberem lidar com elas. Ao respeitarem estes requisitos, conseguirão abordar com sucesso os humanos e cumprir as suas solicitações sempre que estes precisem de assistência em alguma tarefa. A comunicação por linguagem natural, nomeadamente a fala que é a forma mais abrangente de comunicação entre humanos, torna-se relevante na área da Interação humano-robô (IHR). Ao dotar os robôs de serviço com sistemas de voz intuitivos facilita-se a especificação das tarefas a realizar. No entanto, é uma tarefa complicada de se realizar devido aos recursos envolvidos na criação de uma interação suficientemente intuitiva e devido à dificuldade de funcionar em diversos robôs. O objetivo principal deste trabalho é a definição, implementação e avaliação de um sistema de diálogo que seja de fácil integração em qualquer sistema robótico e que funcione como uma base flexível para qualquer cenário de conversação na língua Portuguesa. Deve obedecer a requisitos base de comunicação intuitiva e natural, nomeadamente a características de conversas entre humanos. Foi desenvolvido um sistema que funciona como uma base para dar continuidade a trabalho futuro em sistemas de diálogo. O sistema incorpora a arquitetura cliente-servidor onde o cliente é executado no robô e capta o que o utilizador diz. O cliente tira partido de serviços de gestão de diálogo externos ao robô, executados pelo servidor, que processa o áudio obtido, devolvendo uma resposta ao cliente adequada ao contexto do diálogo. O desenvolvimento foi baseado numa análise crítica do estado da arte para se tentar manter fiel ao que já foi feito e de forma a se tomarem as principais decisões durante a implementação. Mediante a fase de avaliação do sistema, tanto a nível do ponto de vista da interação como do programador, conseguiu-se obter por parte de alguns voluntários que o objetivo principal foi cumprido: foi criada uma base suficientemente flexível para explorar diferentes contextos de conversação, nomeadamente interagir com crianças ou fornecimento de informações em ambiente universitário.
Milhorat, Pierrick. "Une plate-forme ouverte pour la conception et l'implémentation de systèmes de dialogue vocaux en langage naturel." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0087.
Full textRecently, global tech companies released so-called virtual intelligent personal assistants.This thesis has a bi-directional approach to the domain of spoken dialog systems. On the one hand, parts of the work emphasize on increasing the reliability and the intuitiveness of such interfaces. On the other hand, it also focuses on the design and development side, providing a platform made of independent specialized modules and tools to support the implementation and the test of prototypical spoken dialog systems technologies. The topics covered by this thesis are centered around an open-source framework for supporting the design and implementation of natural-language spoken dialog systems. Continuous listening, where users are not required to signal their intent prior to speak, has been and is still an active research area. Two methods are proposed here, analyzed and compared. According to the two directions taken in this work, the natural language understanding subsystem of the platform has been thought to be intuitive to use, allowing a natural language interaction. Finally, on the dialog management side, this thesis argue in favor of the deterministic modeling of dialogs. However, such an approach requires intense human labor, is prone to error and does not ease the maintenance, the update or the modification of the models. A new paradigm, the linked-form filling language, offers to facilitate the design and the maintenance tasks by shifting the modeling to an application specification formalism
Vaienti, Andrea. "Assistenti Vocali: Una Panoramica." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Find full textMeurs, Marie-Jean. "Approche stochastique bayésienne de la composition sémantique pour les modules de compréhension automatique de la parole dans les systèmes de dialogue homme-machine." Phd thesis, Université d'Avignon, 2009. http://tel.archives-ouvertes.fr/tel-00634269.
Full textBooks on the topic "Spoken Dialog System"
Engelbrecht, Klaus-Peter. Estimating Spoken Dialog System Quality with User Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31591-6.
Full textFrance) International Workshop on Spoken Dialog Systems (2012 Ermenonville. Natural interaction with robots, knowbots and smartphones: Putting spoken dialog systems into practice. Edited by Mariani Joseph. New York: Springer, 2014.
Find full textDahl, Deborah, ed. Practical Spoken Dialog Systems. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2676-8.
Full textAnna, Dahl Deborah, ed. Practical spoken dialog systems. Dordrecht: Kluwer Academic Publishing, 2004.
Find full textSchmitt, Alexander, and Wolfgang Minker. Towards Adaptive Spoken Dialog Systems. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4593-7.
Full textSchmitt, Alexander. Towards Adaptive Spoken Dialog Systems. New York, NY: Springer New York, 2013.
Find full textSuendermann, David. Advances in commercial deployment of spoken dialog systems. New York: Springer, 2011.
Find full textSuendermann, David. Advances in Commercial Deployment of Spoken Dialog Systems. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9610-7.
Full textSmith, Ronnie W. Spoken natural language dialog systems: A practical approach. New York: Oxford University Press, 1994.
Find full textEngelbrecht, Klaus-Peter. Estimating Spoken Dialog System Quality with User Models. Springer, 2012.
Find full textBook chapters on the topic "Spoken Dialog System"
Yang, Zhaojun, Gina-Anne Levow, and Helen Meng. "Crowdsourcing for Spoken Dialog System Evaluation." In Crowdsourcing for Speech Processing, 217–40. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118541241.ch8.
Full textIpšić, Ivo, France Mihelič, and Nikola Pavešić. "Analysis of Different Dialog Strategies in the Slovenian Spoken Dialog System." In Text, Speech and Dialogue, 315–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48239-3_57.
Full textRibeiro, Eugénio, Fernando Batista, Isabel Trancoso, José Lopes, Ricardo Ribeiro, and David Martins de Matos. "Assessing User Expertise in Spoken Dialog System Interactions." In Advances in Speech and Language Technologies for Iberian Languages, 245–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49169-1_24.
Full textWu, Zhiyong, Helen Meng, Hui Ning, and Sam C. Tse. "A Corpus-Based Approach for Cooperative Response Generation in a Dialog System." In Chinese Spoken Language Processing, 614–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11939993_63.
Full textDeka, Aniruddha, and Manoj Kumar Deka. "Spoken Dialog System in Bodo Language for Agro Services." In Lecture Notes in Electrical Engineering, 623–31. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4765-7_65.
Full textAdiba, Amalia Istiqlali, Takeshi Homma, Dario Bertero, Takashi Sumiyoshi, and Kenji Nagamatsu. "Delay Mitigation for Backchannel Prediction in Spoken Dialog System." In Lecture Notes in Electrical Engineering, 129–43. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8395-7_10.
Full textLopes, José, Maxine Eskenazi, and Isabel Trancoso. "Incorporating ASR Information in Spoken Dialog System Confidence Score." In Lecture Notes in Computer Science, 403–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28885-2_45.
Full textRyu, Seonghan, Jaiyoun Song, Sangjun Koo, Soonchoul Kwon, and G. G. Lee. "Detecting Multiple Domains from User’s Utterance in Spoken Dialog System." In Natural Language Dialog Systems and Intelligent Assistants, 101–11. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19291-8_10.
Full textJung, Sohyeon, Seonghan Ryu, Sangdo Han, and G. G. Lee. "DietTalk: Diet and Health Assistant Based on Spoken Dialog System." In Natural Language Dialog Systems and Intelligent Assistants, 113–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19291-8_11.
Full textKlarner, Martin, and Bernd Ludwig. "Hybrid Natural Language Generation in a Spoken Language Dialog System." In KI 2004: Advances in Artificial Intelligence, 97–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30221-6_9.
Full textConference papers on the topic "Spoken Dialog System"
Nederhof, Mark-Jan, Gosse Bouma, Rob Koeling, and Gertjan van Noord. "Grammatical analysis in the OVIS spoken-dialogue system." In Interactive Spoken Dialog Systems. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/1641462.1641476.
Full textAgarwal, Rajeev. "Towards a PURE spoken dialogue system for information access." In Interactive Spoken Dialog Systems. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/1641462.1641479.
Full textItoh, Toshihiko, Akihiro Denda, Satoru Kogure, and Seiichi Nakagawa. "A robust dialogue system with spontaneous speech understanding and cooperative response." In Interactive Spoken Dialog Systems. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/1641462.1641474.
Full textRats, M. M. M., R. J. van Vark, and J. P. M. de Vreught. "Corpus--based information presentation for a spoken public transport information system." In Interactive Spoken Dialog Systems. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/1641462.1641481.
Full textMaier, Elisabeth, Norbert Reithinger, and Jan Alexandersson. "Clarification dialogues as measure to increase robustness in a spoken dialogue system." In Interactive Spoken Dialog Systems. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/1641462.1641468.
Full textPlanells, Joaquin, Lluís-F. Hurtado, Encarna Segarra, and Emilio Sanchis. "A multi-domain dialog system to integrate heterogeneous spoken dialog systems." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-459.
Full textBrison, Eric, and Nadine Vigouroux. "Robust comprehension in a spoken dialog system." In 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-298.
Full textSakuma, Jin, Shinya Fujie, and Tetsunori Kobayashi. "Response Timing Estimation for Spoken Dialog System using Dialog Act Estimation." In Interspeech 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/interspeech.2022-746.
Full textStent, Amanda, Svetlana Stenchikova, and Matthew Marge. "DIALOG SYSTEMS FOR SURVEYS: THE RATE-A-COURSE SYSTEM." In 2006 IEEE Spoken Language Technology Workshop. IEEE, 2006. http://dx.doi.org/10.1109/slt.2006.326792.
Full textXu, Wei, and Alex Rudnicky. "Language modeling for dialog system." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-29.
Full textReports on the topic "Spoken Dialog System"
Bohus, Dan, and Alex Rudnicky. Integrating Multiple Knowledge Sources for Utterance-Level Confidence Annotation in the CMU Communicator Spoken Dialog System. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada461099.
Full textAllen, James. Rapidly Customizable Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada493272.
Full textWalker, Marilyn, and Rebecca Passonneau. DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada460992.
Full textStibler, Kathleen, and James Denny. A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada460931.
Full textRobinson, Susan M., Antonio Roque, Ashish Vaswani, David Traum, Charles Hernandez, and Bill Millspaugh. Evaluation of a Spoken Dialogue System for Virtual Reality Call for Fire Training. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada461549.
Full textSanders, Gregory A., and Audrey N. Le. Effects of Speech Recognition Accuracy on the Performance of DARPA Communicator Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada523241.
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