UNIZA System for the Spoken Web Search Task at MediaEval2013

Roman Jarina, Michal Kuba, Róbert Gubka, Michal Chmulík, Martin Paralič · MediaEval · 2013

paper, we present an approach to detect spoken keywords according to a given query, as part of the MediaEval benchmark. The proposed approach is based on a concept of modelling the speech query as a concatenation of language-independent quasi- phoneme models, which are derived by unsupervised clustering on various audio data. Since only an initial version of the system is presented, issues concerning further system improvements are also discussed.

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