1 citations · 1 across the 4 of their papers we have counts for
5 papers
Probing Large Audio-Language Models for Compositional Understanding of Sounding Actions
Michel Olvera, Paraskevas Stamatiadis, Changhong Wang +1
Large audio-language models (LALMs) excel at understanding and reasoning tasks over atomic sound events, yet their ability to infer higher-level human activities from such fine-gra…
The Internet Archive Music Dataset
Paraskevas Stamatiadis, Bernardo V Miranda, Clémentine Berger +3
We introduce the Internet Archive Music Dataset (IAMD), a large-scale collection of captioned music segments derived from the Internet Archive. To the best of our knowledge, IAMD c…
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…
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…
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…