Real-time Audio Classification based on Mixture Models

Maxime Baelde (1, 2, 3) , Christophe Biernacki (2, 3) , Raphaël Greff (1)

1 A-Volute [Roubaix]
2 MODAL - MOdel for Data Analysis and Learning
3 LPP - Laboratoire Paul Painlevé - UMR 8524

This is the poster related to the conference paper "A mixture model-based real-time audio sources classification method", Baelde et al, ICASSP 2017 (hal-01420677v2).

Mots clés: Learning; Mixture model; Real-time; Audio identification; Statistical; Sound classification; Machine learning

Domaines: Machine Learning [stat.ML]; Méthodologie [stat.ME]; Statistiques [stat]

Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-time Audio Classification based on Mixture Models. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), Mar 2017, La Nouvelle-Orléans, United States. . ⟨hal-01481934⟩