A Spoken Document Retrieval Application in the Oral History Domain

M.A.H. Huijbregts, Roeland J.F. Ordelman, Franciska M.G. de Jong

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    The application of automatic speech recognition in the broadcast news domain is well studied. Recognition performance is generally high and accordingly, spoken document retrieval can successfully be applied in this domain, as demonstrated by a number of commercial systems. In other domains, a similar recognition performance is hard to obtain, or even far out of reach, for example due to lack of suitable training material. This is a serious impediment for the successful application of spoken document retrieval techniques for other data then news. This paper outlines our first steps towards a retrieval system that can automatically be adapted to new domains. We discuss our experience with a recently implemented spoken document retrieval application attached to a web-portal that aims at the disclosure of a multimedia data collection in the oral history domain. The paper illustrates that simply deploying an off-theshelf broadcast news system in this task domain will produce error rates that are too high to be useful for retrieval tasks. By applying adaptation techniques on the acoustic level and language model level, system performance can be improved considerably, but additional research on unsupervised adaptation and search interfaces is required to create an adequate search environment based on speech transcripts.
    Original languageUndefined
    Title of host publicationProceedings of 10th international conference Speech and Computer, Patras, Greece (SPECOM 2005)
    Place of PublicationPatras, Greece
    PublisherUniversity of Patras/ WCL Moscow State Linguistics Uni.
    Number of pages4
    ISBN (Print)5-7452-0110-x
    Publication statusPublished - 2005
    EventProceedings of 10th international conference Speech and Computer, Patras, Greece (SPECOM 2005) -
    Duration: 1 Jan 20051 Jan 2005

    Publication series

    PublisherUniversity of Patras, Wire Communications Laboratory Moscow State Linguistics University


    ConferenceProceedings of 10th international conference Speech and Computer, Patras, Greece (SPECOM 2005)


    • EWI-1836
    • METIS-227318
    • IR-65566

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