PhD Research Fellowship in Machine Learning and Information Retrieval for Music-Related Movement ...

Department of Informatics
September 08 2017
Position Type
Full Time
Organization Type

The field of Music Information Retrieval (MIR) has developed advanced strategies for analysing music as an auditory phenomenon. Strategies involve feature extraction and selection based on physical properties of the sound signal and also models of human perception. Another important aspect of music, which to a lesser degree has been subject to MIR research, is movement: Music starts with sound-producing movement, and often also results in movement in the form of dance.

Movement may be quantified precisely using motion capture technology. But how are quantitative representations of movement related to semantic descriptions of the same movement? Can a computer be trained to classify dance styles and dance genres? And is it possible for a computer or a robot to imitate human dance movement from audio?

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This job comes from a partnership with Science Magazine and Euraxess

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