Representing environmental sounds using the separable scattering transform

Abstract : Environmental sounds are an interesting subject of study for machine audition because of their wide variety of acousti-cal characteristics and their central presence in our everyday life. They are perceived effortlessly in the human auditory system whereas state-of-the-art computational systems are far from reaching the same efficiency. In this paper we propose a novel representation of such sounds based on the scattering transform which has the property of stability to time-warping deformations and invariance to time-shift useful for classifications tasks. This representation is compared to several state-of-the-art approaches for the task of quantifying similarity between environmental sounds.
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Carlo Baugé, Mathieu Lagrange, Joakim Andén, Stéphane Mallat. Representing environmental sounds using the separable scattering transform. ICASSP, May 2013, Vancouver, Canada. ⟨10.1109/ICASSP.2013.6639358⟩. ⟨hal-01126650⟩



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