Systematic approaches to deep learning methods for audio
11.-15. September 2017
Erwin Schroedinger Institute (Univ. Vienna)

Systematic approaches to deep learning methods for audio
Methods from "Deep Learning" have gained a lot of interest due to recent impressive success in areas such as image processing, speech recognition and artificial intelligence/ human-machine interaction (e.g. Go playing). There is, however, surprisingly little systematic knowledge and formal understanding of the principles of these methods: formulation of mathematical theory explaining the achievements of deep learning has just now begun.

This workshop will assemble scientists from both applied mathematics and computer science, who are working on the aforementioned problems and are, in particular, interested in gaining a systematic formal understanding of the underlying structures and principles of deep learning. Since the organizers project "SALSA" is focused on music and audio processing, but also, because this application area has so far obtained less attention than, e.g., image processing, we are planning to emphasize the application of deep learning methods to audio.

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