The THISL spoken document retrieval project

被引：0
|
作者：
Renals, S [1 ]
机构：
[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
来源：
IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, PROCEEDINGS VOL 2 | 1999年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
THISL is an ESPRIT Long Term Research Project focused on the automatic indexing and retrieval of broadcast television and radio programmes. In particular it is concerned with the production of a demonstrator news-on-demand system to navigate an archive of BBC news broadcasts. Prototype systems based on both British and North American broadcast news have been constructed. The North American system has been successfully evaluated within the framework of the TREC-6 and TREC-7 spoken document retrieval tracks, and the system based on BBC TV and radio news archives will be evaluated by BBC R&D.
引用
收藏
页码：1049 / 1051
页数：3
相关论文
共 50 条
  • [21] Spoken document retrieval for the languages of Hong Kong
    Meng, HM
    Hui, PY
    PROCEEDINGS OF 2001 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING, 2001, : 201 - 204
  • [22] Cambridge University spoken document retrieval system
    Johnson, S.E.
    Jourlin, P.
    Moore, G.L.
    Sparck Jones, K.
    Woodland, P.C.
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1999, 1 : 49 - 52
  • [23] Automatic story segmentation for spoken document retrieval
    Hui, PY
    Tang, XO
    Meng, HM
    Lam, W
    Gao, XB
    10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 1319 - 1322
  • [24] WEIGHTED MATRIX FACTORIZATION FOR SPOKEN DOCUMENT RETRIEVAL
    Chen, Kuan-Yu
    Wang, Hsin-Min
    Chen, Berlin
    Chen, Hsin-Hsi
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 8530 - 8534
  • [25] Speech transcription and spoken document retrieval in Finnish
    Kurimo, M
    Turunen, V
    Ekman, I
    MACHINE LEARNING FOR MULTIMODAL INTERACTION, 2005, 3361 : 253 - 262
  • [26] HANDLING VERBOSE QUERIES FOR SPOKEN DOCUMENT RETRIEVAL
    Lin, Shih-Hsiang
    Jan, Ea-Ee
    Chen, Berlin
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 5552 - 5555
  • [27] Easy Listening: Spoken Document Retrieval in CHoral
    Heeren, Willemijn
    van der Werff, Laurens
    de Jong, Franciska
    Ordelman, Roeland
    Verschoor, Thijs
    van Hessen, Arjan
    Langelaar, Mies
    INTERDISCIPLINARY SCIENCE REVIEWS, 2009, 34 (2-3) : 236 - 252
  • [28] SpeechFind: Advances in spoken document retrieval for a National Gallery of the Spoken Word
    Hansen, JH
    Huang, RQ
    Zhou, B
    Seadle, M
    Deller, JR
    Gurijala, AR
    Kurimo, M
    Angkititrakul, P
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2005, 13 (05): : 712 - 730
  • [29] A Soundex-Based Approach for Spoken Document Retrieval
    Alejandro Reyes-Barragan, M.
    Villasenor-Pineda, Luis
    Montes-y-Gomez, Manuel
    MICAI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2008, 5317 : 204 - 211
  • [30] The RWTH speech recognition system and spoken document retrieval
    Ney, H
    Welling, L
    Ortmanns, S
    Beulen, K
    Wessel, E
    IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 1998, : 2022 - 2027
12345