3 papers
eess.AS2025
IS : Generic Impulsive--Stationary Sound Separation in Acoustic Scenes using Deep Filtering
Clémentine Berger, Paraskevas Stamatiadis, Roland Badeau +1
We are interested in audio systems capable of performing a differentiated processing of stationary backgrounds and isolated acoustic events within an acoustic scene, whether for ap…
cs.SD2024
A sound description: Exploring prompt templates and class descriptions to enhance zero-shot audio classification
Michel Olvera, Paraskevas Stamatiadis, Slim Essid
Audio-text models trained via contrastive learning offer a practical approach to perform audio classification through natural language prompts, such as "this is a sound of" followe…
cs.SD2024
SALT: Standardized Audio event Label Taxonomy
Paraskevas Stamatiadis, Michel Olvera, Slim Essid
Machine listening systems often rely on fixed taxonomies to organize and label audio data, key for training and evaluating deep neural networks (DNNs) and other supervised algorith…