1 code implementation • 21 Jul 2020 • Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim andén, Mathieu Lagrange
Furthermore, it minimizes triplet loss in the cluster graph by means of the large-margin nearest neighbor (LMNN) metric learning algorithm.
no code implementations • 15 Nov 2017 • Grégoire Lafay, Emmanouil Benetos, Mathieu Lagrange
As part of the 2016 public evaluation challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2016), the second task focused on evaluating sound event detection systems using synthetic mixtures of office sounds.
no code implementations • 31 Jan 2015 • Mathieu Lagrange, Grégoire Lafay, Mathias Rossignol, Emmanouil Benetos, Axel Roebel
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach by ab-stracting temporal structures of acoustic scenes.
no code implementations • 11 Dec 2014 • Mathieu Lagrange, Grégoire Lafay, Boris Defreville, Jean-Julien Aucouturier
The "bag-of-frames" approach (BOF), which encodes audio signals as the long-term statistical distribution of short-term spectral features, is commonly regarded as an effective and sufficient way to represent environmental sound recordings (soundscapes) since its introduction in an influential 2007 article.