Raphael Blouet

Raphaël Blouet is an accomplished professional with a PhD in signal processing and possesses a blend of academic and industrial experience.

His specialties include statistical signal processing, biometric, speech, and speaker modeling, unsupervised machine learning with a focus on nonnegative matrix factorization (NMF), single sensor source separation, audio indexing, content-based information retrieval, and audio identification applied to media monitoring.

Educationally, he pursued a Bachelor's degree in Applied Physics at Université Paris 7, a Master's and a PhD in Signal Processing at Université de Rennes I, and attended Lycée Auguste Renoir.

Throughout his career, Raphaël has held various roles including Research Engineer at speech and audio processing, CSO at Audionamix and Mist Technologies, Research Engineer at YACAST, Research Associate at GET/Télécom Paris, Lecturer in Computer Science at LIA, and Phd at IRISA / METISS.