GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015

نویسندگان

  • Paula Lopez-Otero
  • Laura Docío Fernández
  • Carmen García-Mateo
چکیده

In this paper, we present the systems developed by GTMUVigo team for the query by example search on speech task (QUESST) at MediaEval 2015. The systems consist in a fusion of 11 dynamic time warping based systems that use phoneme posteriorgrams for speech representation; the primary system introduces a technique to select the most relevant phonetic units on each phoneme decoder, leading to an improvement of the search results.

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تاریخ انتشار 2015