Deim Seminar
Title
Analytic framework for automatic event classification in sound streams from the Amazon forest
Conferenciant
Serge Zaugg
Professor/a organitzador/a
Domènec Savi Puig Valls
Institution
Universitat Politècnica de Catalunya
Date
11-10-2017 13:00
Summary
The recently started Project Providence aims at monitoring biodiversity of tropical forests with autonomous sensor nodes. Acoustic sensors will play a key role because they detect animal sounds over distances of up to several hundred meters. In this talk we first briefly present the characteristics of rainforest soundscapes. Then, we present our analytic system for automatic classification of acoustic events with focus on Machine Learning. Finally, we discuss how we plan to extend the predictive capabilities of the system.
Short Bio: Serge Zaugg has an academic training in statistics. In his early career, he worked in applied machine learning related to acoustic and radar sensors. In recent years he worked as data scientist in diverse fields such as biomedical imaging, clinical studies, public transportation, and radar technology. Currently he is at the Laboratory of Applied Bioacoustics (UPC) where he is responsible for data analytics.
Place
Laboratori 231
Language
Anglès
