Query modeling for spoken document retrieval

Berlin Chen, Pei Ning Chen, Kuan Yu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Spoken document retrieval (SDR) has recently become a more interesting research avenue due to increasing volumes of publicly available multimedia associated with speech information. Many efforts have been devoted to developing elaborate indexing and modeling techniques for representing spoken documents, but only few to improving query formulations for better representing the users' information needs. In view of this, we recently presented a language modeling framework exploring a novel use of relevance information cues for improving query effectiveness. Our work in this paper continues this general line of research in two main aspects. We further explore various ways to glean both relevance and non-relevance cues from the spoken document collection so as to enhance query modeling in an unsupervised fashion. Furthermore, we also investigate representing the query and documents with different granularities of index features to work in conjunction with the various relevance and/or non-relevance cues. Experiments conducted on the TDT (Topic Detection and Tracking) SDR task demonstrate the performance merits of the methods instantiated from our retrieval framework when compared to other existing retrieval methods.

Original languageEnglish
Title of host publication2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings
Pages389-394
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011 - Waikoloa, HI, United States
Duration: 2011 Dec 112011 Dec 15

Publication series

Name2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings

Other

Other2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011
CountryUnited States
CityWaikoloa, HI
Period11/12/1111/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Chen, B., Chen, P. N., & Chen, K. Y. (2011). Query modeling for spoken document retrieval. In 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings (pp. 389-394). [6163963] (2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings). https://doi.org/10.1109/ASRU.2011.6163963