Computational analysis of acoustic events in everyday environments

Sounds carry a large amount of information about our everyday environment and physical events that take place in it. Recent advances in machine learning allows automatic methods to analyze this information, for example, by detecting and classifying acoustic events produced by various sources. This allows several applications, for example, in acoustic surveillance, context-aware devices, and multimedia indexing. This talk will present signal...