Information Retrieval from Unsegmented Broadcast News Audio - Archive ouverte HAL Access content directly
Journal Articles International Journal of Speech Technology Year : 2001

Information Retrieval from Unsegmented Broadcast News Audio

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Sue E Johnson
  • Function : Author
Pierre Jourlin
Karen Jones
  • Function : Author
  • PersonId : 876310
Philip C Woodland
  • Function : Author

Abstract

This paper describes a system for retrieving relevant portions of broadcast news shows starting with only the audio data. A novel method of automatically detecting and removing commercials is presented and shown to increase the performance of the system while also reducing the computational effort required. A sophisticated large vocabulary speech recogniser which produces high-quality transcriptions of the audio and a window-based retrieval system with post-retrieval merging are also described. Results are presented using the 1999 TREC-8 Spoken Document Retrieval data for the task where no story boundaries are known. Experiments investigating the effectiveness of all aspects of the system are described, and the relative benefits of automatically eliminating commercials, enforcing broadcast structure during retrieval, using relevance feedback, changing retrieval parameters and merging during post-processing are shown. An Average Precision of 46.8%, when duplicates are scored as irrelevant, is shown to be achievable using this system, with the corresponding word error rate of the recogniser being 20.5%.
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Dates and versions

hal-02171698 , version 1 (08-07-2019)

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  • HAL Id : hal-02171698 , version 1

Cite

Sue E Johnson, Pierre Jourlin, Karen Jones, Philip C Woodland. Information Retrieval from Unsegmented Broadcast News Audio. International Journal of Speech Technology, 2001, 4, pp.251 - 268. ⟨hal-02171698⟩

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