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        <title>Broadcast News: Features and acoustic modelling</title>
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        <namePart type="family">Ellis</namePart>
        <namePart type="given">Daniel P. W.</namePart>
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        <affiliation>Columbia University. Electrical Engineering</affiliation>
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    <abstract>Overview of the International Computer Science Institute&apos;s (ICSI) contributions to a system developed by the European Union-sponsored collaborative Speech Recognition Algorithms for Connectionist Hybrids (SPRACH) project for submission to a Defense Advanced Research Projects Agency and National Institute of Standards and Technology evaluation of approaches to speech recognition of broadcast news footage. ICSI&apos;s contributions were in acoustic modelling, in particular modulation-filtered spectrogram features and very large multi-layer perceptron classifiers.</abstract>
    <note>Presented to the final review meeting of the SPRACH project at the Institute for Systems and Computer Engineering, Lisbon, Portugal, December 15, 1998.</note>
    <subject>
        <topic>Electrical engineering</topic>
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