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Communication Dans Un Congrès Année : 2011

Topic Segmentation of TV-streams by mathematical morphology and vectorization

Résumé

A fine-grained segmentation of Radio or TV broadcasts is an essential step for most multimedia processings. Applying seg- mentation algorithms to the speech transcripts seems straight- forward. Yet, most of these algorithms are not suited when dealing with short segments or noisy data. In this paper, we propose a new segmentation technique inspired from the im- age segmentation field and relying on a new way to compute similarities between candidate segments. This new topic seg- mentation technique is evaluated on two corpora of French TV broadcasts on which it largely outperforms other existing ap- proaches from the state-of-the-art.
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Dates et versions

hal-00643905 , version 1 (23-11-2011)

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  • HAL Id : hal-00643905 , version 1

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Vincent Claveau, Sébastien Lefèvre. Topic Segmentation of TV-streams by mathematical morphology and vectorization. InterSpeech, 2011, Florence, Italy. ⟨hal-00643905⟩
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