Easy Listening: Spoken Document Retrieval in CHoral

被引:3
|
作者
Heeren, Willemijn [1 ]
van der Werff, Laurens
de Jong, Franciska
Ordelman, Roeland
Verschoor, Thijs
van Hessen, Arjan
Langelaar, Mies [2 ]
机构
[1] Univ Twente, Dept Elect Engn Math & Comp Sci, Cluster Human Media Interact, Human Media Interact Grp, NL-7500 AE Enschede, Netherlands
[2] Rotterdam Municipal Arch, Rotterdam, Netherlands
关键词
Spoken document retrieval; Speech indexing; Spoken word archives; Speech recognition; User interfaces; SPEECH;
D O I
10.1179/174327909X441135
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Given the enormous backlog at audiovisual archives and the generally global level of item description, collection disclosure and item access are both at risk. At the same time, archival practice is seeking to evolve from the analogue to the digital world. CHoral investigates the role automatic annotation and search technology can play in improving disclosure and access of digitized spoken word collections during and after this transfer. The core business of the CHoral project is to design and build technology for spoken document retrieval for heritage collections. In this paper, we will argue that in addition to solving technological issues, closer attention is needed for the work-flow and daily practice at audiovisual archives on the one hand, and the state-of-the-art in technology on the other. Analysis of the interplay is needed to ensure that new developments are mutually beneficial and that continuing cooperation can indeed bring envisioned advancements.
引用
下载
收藏
页码:236 / 252
页数:17
相关论文
共 50 条
  • [21] Phonetic query expansion for spoken document retrieval
    Reyes-Barragan, Alejandro
    Villasenor-Pineda, Luis
    Montes-y-Gomez, Manuel
    PROCESAMIENTO DEL LENGUAJE NATURAL, 2011, (47): : 57 - 64
  • [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] Extractive spoken document summarization for information retrieval
    Chen, Berlin
    Chen, Yi-Ting
    PATTERN RECOGNITION LETTERS, 2008, 29 (04) : 426 - 437
  • [25] 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
  • [26] Speech transcription and spoken document retrieval in Finnish
    Kurimo, M
    Turunen, V
    Ekman, I
    MACHINE LEARNING FOR MULTIMODAL INTERACTION, 2005, 3361 : 253 - 262
  • [27] 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
  • [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