Ubiquitous Multimodality as a Tool in Violin Performance Classification
William Wilson,
Niccolò Granieri,
Islah Ali-MacLachlan
Abstract:Through integrated sensors, wearable devices such as fitness trackers and smart-watches provide convenient interfaces by which multimodal time-series data may be recorded. Fostering multimodality in data collection allows for the observation of recorded actions, exercises or performances with consideration towards multiple transpiring aspects. This paper details an exploration of machine-learning based classification upon a dataset of audio-gestural violin recordings, collated through the use of a purpose-buil… Show more
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