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Learning Multidimensional Disentangled Representations of Instrumental
  Sounds for Musical Similarity Assessment

Learning Multidimensional Disentangled Representations of Instrumental Sounds for Musical Similarity Assessment

10 April 2024
Yuka Hashizume
Li Li
Atsushi Miyashita
T. Toda
ArXivPDFHTML

Papers citing "Learning Multidimensional Disentangled Representations of Instrumental Sounds for Musical Similarity Assessment"

3 / 3 papers shown
Title
Investigation of perceptual music similarity focusing on each instrumental part
Investigation of perceptual music similarity focusing on each instrumental part
Yuka Hashizume
T. Toda
49
1
0
04 Feb 2025
Cutting Music Source Separation Some Slakh: A Dataset to Study the
  Impact of Training Data Quality and Quantity
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow
G. Wichern
Prem Seetharaman
Jonathan Le Roux
57
123
0
18 Sep 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
333
75,834
0
18 May 2015
1