Abstract
The words spoken in an audio-visual document form an obvious and intuitive metadata component. This component is essential to ensure comprehensive coverage of audio-visual content by the MPEG-7 standard. With manual transcription prohibitively costly, such metadata will typically be derived from automatic speech recognition systems. The errors inherent in the output of such extraction tools cause particular difficulties for robust retrieval, as well as for interoperability in heterogeneous databases. We describe a structure comprising a probabilistic combined word and phone lattice along with an explanatory metadata header and detail how this structure avoids or ameliorates these problems.
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