Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
History and Development of Speech Recognition Kapitel lesen Erstes Kapitel lesen

2010 | OriginalPaper | Buchkapitel

12. Spoken Dialogue Application in Space: The Clarissa Procedure Browser

verfasst von : Manny Rayner, Beth Ann Hockey, Jean-Michel Renders, Nikos Chatzichrisafis, Kim Farrell

Erschienen in: Speech Technology

Verlag: Springer US

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Anyone who has seen more than three science-fiction films will probably be able to suggest potential uses for spoken dialogue systems in space. Until recently, however, NASA and other space agencies have shown a surprising lack of interest in attempting to make this dream a reality and it is only in the last few years that any serious work has been carried out. The present chapter describes Clarissa, an experimental voice-enabled system developed at NASA Ames Research Center during a 3-year project starting in early 2002, which enables astronauts to navigate complex procedures using only spoken input and output. Clarissa was successfully tested on the International Space Station (ISS) on June 27, 2005, and is, to the best of our knowledge, the first spoken dialogue application in space.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Application of Speech Technology in Vehicles
Nächstes Kapitel Military Applications: Human Factors Aspects of Speech-Based Systems
Anhänge
Nur mit Berechtigung zugänglich
Fußnoten
1
In this connection, we would particularly like to mention T.J. Creamer and Mike Fincke.
 
2
Note that the grammar’s “logical forms” and the dialogue manager’s “dialogue moves” are not the same.
 
3
For long side-conversations, the user has the option of using the “suspend” command (cf. Section 2.1) to pause recognition.
 
Literatur
1.
Aist, G., Dowding, J., Hockey, B. A., Hieronymus, J. (2002). An intelligent procedure assistant for astronaut training and support. In: Proc. 40th Annual Meeting of the Association for Computational Linguistics (demo track), Philadelphia, PA, 5–8.
2.
Martin, D., Cheyer, A., Moran, D. (1999). The open agent architecture: a framework for building distributed software systems. Appl. Artif. Intell., 13 (1–2), 92–128.
3.
4.
Knight, S., Gorrell, G., Rayner, M., Milward, D., Koeling, R., Lewin, I. (2001). Comparing grammar-based and robust approaches to speech understanding: a case study. In: Proc. Eurospeech 2001, Aalborg, Denmark, 1779–1782.
5.
Rayner, M., Hockey, B. A., Bouillon, P. (2006). Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler. CSLI, Chicago, IL.
6.
7.
Pulman, S. G. (1992). Syntactic and semantic processing. In: Alshawi, H. (ed) The Core Language Engine, MIT, Cambridge, MA, 129–148.
8.
van Harmelen, T., Bundy, A. (1988). Explanation-based generalization – partial evaluation (research note). Artif. Intell., 36, 401–412.CrossRef
9.
Rayner, M. (1988). Applying explanation-based generalization to natural-language processing. In: Proc. Int. Conf. on Fifth Generation Computer Systems, Tokyo, Japan, 1267–1274.
10.
Rayner, M., Hockey, B. A. (2003). Transparent combination of rule-based and data-driven approaches in a speech understanding architecture. In: Proc. 10th Conf. Eur. Chapter of the Association for Computational Linguistics, Budapest, Hungary, 299–306.
11.
Yarowsky, D. (1994). Decision lists for lexical ambiguity resolution. In: Proc. 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, New Mexico, 88–95.
12.
Carter, D. (2000). Choosing between interpretations. In: Rayner, M., Carter, D., Bouillon, P., Digalakis, V., Wirén, M. (eds) The Spoken Language Translator, Cambridge University Press, Cambridge, MA, 78–97.MATH
13.
Dowding, J., Hieronymus, J. (2003). A spoken dialogue interface to a geologist’s field assistant. In: Proc. HLT-NAACL 2003: Demo Session, Edmonton, Alberta, 9–10.
14.
Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. In: Proc. 10th Eur. Conf. on Machine Learning, Chemnitz, Germany, 137–142.
15.
16.
Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini, N., Watkins, C. (2002). Text classification using string kernels. J. Machine Learn. Res., 2, 419–444.MATH
17.
Shawe-Taylor, J., Cristianini, N. (2004). Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge.CrossRef
18.
Navia-Vázquez, A., Pérez-Cruz, F., Artés-Rodríguez, A., Figueiras-Vidal, A. R. (2004). Advantages of unbiased support vector classifiers for data mining applications. J. VLSI Signal Process. Syst., 37 (1–2), 1035–1062.MATH
19.
Bennett, P. (2003). Using asymmetric distributions to improve text classifier probability estimates. In: Proc. 26th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, Toronto, Ontario, 111–118.
20.
Zadrozny, B., Elkan, C. (2002). Transforming classifier scores into accurate multiclass probability estimates. In: Proc. 8th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Edmonton, Alberta, 694–699.
21.
Allen, J., Byron, D., Dzikovska, M., Ferguson, G., Galescu, L., Stent, A. (2000). An architecture for a generic dialogue shell. Natural Language Engineering, Special Issue on Best Practice in Spoken Language Dialogue Systems Engineering, 6, 1–16.
22.
Larsson, S., Traum, D. (2000). Information state and dialogue management in the TRINDI dialogue move engine toolkit. Natural Language Engineering, Special Issue on Best Practice in Spoken Language Dialogue Systems Engineering, 6, 323–340.
23.
Stent, A., Dowding, J., Gawron, J., Bratt, E., Moore, R. (1999). The CommandTalk spoken dialogue system. In: Proc. 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland, College Park, Maryland, VA, 183–190.
24.
Haffner, P., Cortes, C., Mohri, M. (2003). Lattice kernels for spoken-dialog classification. In: Proc. 2003 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP ’03), Hong Kong, 628–631.
25.
Cortes, C., Haffner, P., Mohri, M. (2004). Rational kernels: Theory and algorithms. J. Machine Learn. Res., 5, 1035–1062.MathSciNetMATH
Metadaten
Titel
Spoken Dialogue Application in Space: The Clarissa Procedure Browser
verfasst von
Manny Rayner
Beth Ann Hockey
Jean-Michel Renders
Nikos Chatzichrisafis
Kim Farrell
Copyright-Jahr
2010
Verlag
Springer US
Buch
Speech Technology

Print ISBN: 978-0-387-73818-5

Electronic ISBN: 978-0-387-73819-2

Copyright-Jahr: 2010

DOI
https://doi.org/10.1007/978-0-387-73819-2_12

Neuer Inhalt

    Bildnachweise