Probabilistic aspects in spoken document retrieval

被引：0
|
作者：
机构：
[1] Macherey, Wolfgang
[2] Jörg Viechtbauer, Hans
[3] Ney, Hermann
来源：
Macherey, W. (w.macherey@informatik.rwth-aachen.de) | 1600年 / Hindawi Publishing Corporation卷 / 2003期
关键词：
Error analysis - Heuristic methods - Information retrieval - Interpolation - Natural language processing systems - Probabilistic logics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Accessing information in multimedia databases encompasses a wide range of applications in which spoken document retrieval (SDR) plays an important role. In SDR, a set of automatically transcribed speech documents constitutes the files for retrieval, to which a user may address a request in natural language. This paper deals with two probabilistic aspects in SDR. The first part investigates the effect of recognition errors on retrieval performance and inquires the question of why recognition errors have only a little effect on the retrieval performance. In the second part, we present a new probabilistic approach to SDR that is based on interpolations between document representations. Experiments performed on the TREC-7 and TREC-8 SDR task show comparable or even better results for the new proposed method than other advanced heuristic and probabilistic retrieval metrics.
引用
收藏
相关论文
共 50 条
  • [41] Subword-based approaches for spoken document retrieval
    Ng, K
    Zue, VW
    SPEECH COMMUNICATION, 2000, 32 (03) : 157 - 186
  • [42] Automatic transcription of audio archives for spoken document retrieval
    Ircing, Pavel
    Psutka, Josef
    Radova, Vlasta
    PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, 2006, : 448 - +
  • [43] Leveraging Relevance Cues for Improved Spoken Document Retrieval
    Chen, Pei-Ning
    Chen, Kuan-Yu
    Chen, Berlin
    12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 936 - +
  • [44] Evaluation of Spoken Document Retrieval for Historic Speech Collections
    Heeren, W.
    de Jong, F.
    van der Werff, L.
    Huijbregts, M.
    Ordelman, R.
    SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008, 2008, : 2037 - 2041
  • [45] Spoken Document Retrieval System based on Phonemic Transcribing
    Tatarinova, Alexandra
    Prozorov, Dmitriy
    2017 IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS), 2017,
  • [46] Spoken Document Retrieval for Oral Presentations Integrating Global Document Similarities into Local Document Similarities
    Nanjo, Hiroaki
    Iyonaga, Yusuke
    Yoshimi, Takehiko
    11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 1-2, 2010, : 1285 - 1288
  • [47] DOCUMENT RETRIEVAL USING A PROBABILISTIC KNOWLEDGE MODEL
    Wang, Shuguang
    Visweswaran, Shyam
    Hauskrecht, Milos
    KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2009, : 26 - +
  • [48] PROBABILISTIC APPROACHES TO THE DOCUMENT-RETRIEVAL PROBLEM
    MARON, ME
    LECTURE NOTES IN COMPUTER SCIENCE, 1983, 146 : 98 - 107
  • [49] Using semantic and phonetic term similarity for spoken document retrieval and spoken query processing
    Crestani, F
    TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 1: TASKS, 2002, 89 : 363 - 375
  • [50] PROBABILISTIC AND GENETIC ALGORITHMS FOR DOCUMENT-RETRIEVAL
    GORDON, M
    COMMUNICATIONS OF THE ACM, 1988, 31 (10) : 1208 - 1218
12345