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Found 4 papers, 1 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.
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
When pre-trained on the big scale datasets and transferred to the medium and small scale datasets, ProSTformer achieves a significant enhancement and behaves best.
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting
In this paper, we outline the curation process for obtaining and sorting the repertoire, the pipeline for creating the Original and Variation pairs, and our analysis of the dataset.
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models
The diffusion model is trained to generate intermediate music sequences consisting of codebook indexes, which are then decoded to symbolic music using the VQ-VAE's decoder.
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