Matthias Dorfer,
"Multimodal Deep Representation Learning and its Application to Audio and Sheet Music"
, 2018
Original Titel:
Multimodal Deep Representation Learning and its Application to Audio and Sheet Music
Sprache des Titels:
Englisch
Original Kurzfassung:
This thesis is about multimodal deep representation learning and its application to audio and sheet music. Multimodal deep learning in general could be described as learning task-specific representations from two or potentially more input modalities at the same time. What kind of representations a model learns mainly depends on the given training data and the task that is addressed, including its respective optimization target.
Forschungs-