Baptiste Bouvier

Institut de Recherche et Coordination Acoustique/Musique | IRCAM

Attention is a set of processes that allows a listener to select certain relevant information in a sound scene and to ignore others. However, some sounds that are not relevant to process sometimes manage to capture our attention. This effect is known as salience. In the present study, the influence of two timbre attributes, brightness and roughness...

Attention allows the listener to select relevant information from their environment, and disregard what is irrelevant. However, irrelevant stimuli sometimes manage to capture it and stand out from a scene because of bottom-up processes driven by salient stimuli. This attentional capture effect was observed using an implicit approach based on the ad...

Attention allows a listener to select the relevant information of the environment and to ignore others. But irrelevant stimuli sometimes manage to capture it and stand out from a scene because of bottom-up processes driven by salient stimuli. This attentional capture effect was observed using an implicit approach based on the additional singleton p...

Machine learning techniques have proved useful for classifying and analyzing audio content. However, recent methods typically rely on abstract and high-dimensional representations that are difficult to interpret. Inspired by transformation-invariant approaches developed for image and 3D data, we propose an audio identification model based on learna...