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Léo Cances

2 papers here

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author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • cs.SD1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedCosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2019

Evaluation of post-processing algorithms for polyphonic sound event detection

Leo Cances, Patrice Guyot, Thomas Pellegrini

Sound event detection (SED) aims at identifying audio events (audio tagging task) in recordings and then locating them temporally (localization task). This last task ends with the…

cs.SD2019★ 1 cited

Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection

Thomas Pellegrini, Léo Cances

The design of new methods and models when only weakly-labeled data are available is of paramount importance in order to reduce the costs of manual annotation and the considerable h…

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