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Volumn 1, Issue , 2006, Pages 477-480

Radiobot-CFF: A spoken dialogue system for military training

Author keywords

Spoken dialogue systems

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION;

EID: 44949119807     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (5)
  • 1
    • 44949181370 scopus 로고    scopus 로고
    • Tactics, techniques and procedures for observed fire and fire support at battalion task force and below
    • Department of the Army, 3- 09.30 6-30, Department of the Army
    • Department of the Army. 2001. Tactics, techniques and procedures for observed fire and fire support at battalion task force and below. Technical Report FM 3- 09.30 (6-30), Department of the Army.
    • (2001) Technical Report FM
  • 2
    • 85009087667 scopus 로고    scopus 로고
    • Information state and dialogue management in the TRINDI dialogue move engine toolkit
    • September. Special Issue on Spoken Language Dialogue System Engineering
    • Staffan Larsson and David Traum. 2000. Information state and dialogue management in the TRINDI dialogue move engine toolkit. Natural Language Engineering, 6:323340, September. Special Issue on Spoken Language Dialogue System Engineering.
    • (2000) Natural Language Engineering , vol.6 , pp. 323340
    • Larsson, S.1    Traum, D.2
  • 3
    • 0141589558 scopus 로고    scopus 로고
    • Sonic: The university of colorado continuous speech recognizer
    • Technical Report TRCSLR-2001-01, University of Colorado
    • Bryan Pellom. 2001. Sonic: The university of colorado continuous speech recognizer. Technical Report TRCSLR-2001-01, University of Colorado.
    • (2001)
    • Pellom, B.1
  • 5
    • 85022111307 scopus 로고    scopus 로고
    • Andrew Kachites McCallum. 2002. Mallet: A machine learning for language toolkit, http://mallet.cs.umass.edu.
    • Andrew Kachites McCallum. 2002. Mallet: A machine learning for language toolkit, http://mallet.cs.umass.edu.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.