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Books on the topic 'Spoken Dialog System'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

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.

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2

France) 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.

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3

Dahl, Deborah, ed. Practical Spoken Dialog Systems. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2676-8.

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4

Anna, Dahl Deborah, ed. Practical spoken dialog systems. Dordrecht: Kluwer Academic Publishing, 2004.

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5

Schmitt, 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.

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6

Schmitt, Alexander. Towards Adaptive Spoken Dialog Systems. New York, NY: Springer New York, 2013.

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7

Suendermann, David. Advances in commercial deployment of spoken dialog systems. New York: Springer, 2011.

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8

Suendermann, 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.

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9

Smith, Ronnie W. Spoken natural language dialog systems: A practical approach. New York: Oxford University Press, 1994.

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10

Engelbrecht, Klaus-Peter. Estimating Spoken Dialog System Quality with User Models. Springer, 2012.

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11

Estimating Spoken Dialog System Quality With User Models. Springer, 2012.

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12

Engelbrecht, Klaus-Peter. Estimating Spoken Dialog System Quality with User Models. Springer, 2014.

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13

Engelbrecht, Klaus-Peter. Estimating Spoken Dialog System Quality with User Models. Springer London, Limited, 2012.

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14

Dahl, Deborah. Practical Spoken Dialog Systems (Text, Speech and Language Technology). Springer, 2005.

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15

Mariani, Joseph, Sophie Rosset, and Martine Garnier-Rizet. Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice. Springer, 2013.

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16

Mariani, Joseph, Laurence Devillers, Sophie Rosset, and Martine Garnier-Rizet. Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice. Springer, 2016.

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17

Mariani, Joseph, Laurence Devillers, Sophie Rosset, and Martine Garnier-Rizet. Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice. Springer London, Limited, 2014.

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18

Dahl, Deborah. Practical Spoken Dialog Systems. Springer, 2007.

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19

Smith, Ronnie W., and D. Richard Hipp. Spoken Natural Language Dialog Systems. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195091878.001.0001.

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As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously, and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.

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20

Schmitt, Alexander, and Wolfgang Minker. Towards Adaptive Spoken Dialog Systems. Springer, 2012.

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21

Schmitt, Alexander, and Wolfgang Minker. Towards Adaptive Spoken Dialog Systems. Springer, 2014.

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22

Towards Adaptive Spoken Dialog Systems. Springer, 2012.

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23

Hipp, D. Richard, and Ronnie W. Smith. Spoken Natural Language Dialog Systems: A Practical Approach. Oxford University Press, 1994.

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24

Hipp, D. Richard, and Ronnie W. Smith. Spoken Natural Language Dialog Systems: A Practical Approach. Oxford University Press, USA, 1995.

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25

Dahl, Deborah. Practical Spoken Dialog Systems (Text, Speech and Language Technology). Springer, 2005.

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26

Mariani, Joseph, Maxine Eskenazi, and Laurence Devillers. Advanced Social Interaction with Agents: 8th International Workshop on Spoken Dialog Systems. Springer, 2019.

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27

Mariani, Joseph, Maxine Eskenazi, and Laurence Devillers. Advanced Social Interaction with Agents: 8th International Workshop on Spoken Dialog Systems. Springer, 2018.

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28

Androutsopoulos, Ion, and Maria Aretoulaki. Natural Language Interaction. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0035.

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This article introduces natural language interaction (NLI) systems. NLI systems are systems that allow their users to formulate requests in spoken or written natural language. This article highlights the central concepts of natural language interaction systems. NLI systems refer to applications where users can formulate requests addressed to a computer in natural language. Database querying constitutes the most studied form of NLIs. Database NLIs allow information to be retrieved from an underlying database by typing single-sentence queries. This article draws attention to the basic components of an NLI system and gives an overview of spoken dialogue systems (SDS). Apart from giving information about the several applications where NLIs and SDS are being explored, this article concludes with a discussion of more ambitious forms of natural language interaction that may become possible in the longer term.

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29

Leech, Geoffrey. Pragmatics and Dialogue. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0007.

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This article introduces the linguistic subdiscipline of pragmatics and shows how this is being applied to the development of spoken dialogue systems — currently perhaps the most important applications area for computational pragmatics. It traces the history of pragmatics from its philosophical roots, and outlines some key notions of theoretical pragmatics — speech acts, illocutionary force, the cooperative principle and relevance. It then discusses the application of pragmatics to dialogue modelling, especially the development of spoken dialogue systems intended to interact with human beings in task-oriented scenarios such as providing travel information and shows how and why computational pragmatics differs from ‘linguistic’ pragmatics, and how pragmatics contributes to the computational analysis of dialogues. One major illustration of this is the application of speech act theory in the analysis and synthesis of service interactions in terms of dialogue acts.

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30

Lamel, Lori, and Jean-Luc Gauvain. Speech Recognition. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0016.

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Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today's approaches are based on a statistical modellization of the speech signal. This article provides an overview of the main topics addressed in speech recognition, which are, acoustic-phonetic modelling, lexical representation, language modelling, decoding, and model adaptation. Language models are used in speech recognition to estimate the probability of word sequences. The main components of a generic speech recognition system are, main knowledge sources, feature analysis, and acoustic and language models, which are estimated in a training phase, and the decoder. The focus of this article is on methods used in state-of-the-art speaker-independent, large-vocabulary continuous speech recognition (LVCSR). Primary application areas for such technology are dictation, spoken language dialogue, and transcription for information archival and retrieval systems. Finally, this article discusses issues and directions of future research.

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