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Found 4 papers, 3 papers with code
Reconstructing Human Expressiveness in Piano Performances with a Transformer Network
Capturing intricate and subtle variations in human expressiveness in music performance using computational approaches is challenging.
Learning music audio representations via weak language supervision
To address this question, we design a multimodal architecture for music and language pre-training (MuLaP) optimised via a set of proxy tasks.
Performer Identification From Symbolic Representation of Music Using Statistical Models
We proposed and extracted a set of expressive features that are able to capture the characteristics of an individual performer's style.
MusCaps: Generating Captions for Music Audio
Content-based music information retrieval has seen rapid progress with the adoption of deep learning.
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