Castsearch - Context Based Spoken Document Retrieval

Lasse Lohilahti Mølgaard, Kasper Winther Jørgensen, Lars Kai Hansen

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    Abstract

    The paper describes our work on the development of a system for retrieval of relevant stories from broadcast news. The system utilizes a combination of audio processing and text mining. The audio processing consists of a segmentation step that partitions the audio into speech and music. The speech is further segmented into speaker segments and then transcribed using an automatic speech recognition system, to yield text input for clustering using non-negative matrix factorization (NMF). We find semantic topics that are used to evaluate the performance for topic detection. Based on these topics we show that a novel query expansion can be performed to return more intelligent search results. We also show that the query expansion helps overcome errors of the automatic transcription
    Original languageEnglish
    Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007.
    Volume4
    PublisherIEEE
    Publication date2007
    ISBN (Print)1-4244-0727-3
    DOIs
    Publication statusPublished - 2007
    Event32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu, HI, United States
    Duration: 15 Apr 200720 Apr 2007

    Conference

    Conference32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
    CountryUnited States
    CityHonolulu, HI
    Period15/04/200720/04/2007

    Bibliographical note

    Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • Nonnegative Matrix Factorization
    • Audio Retrieval
    • Text Mining
    • Document Clustering

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