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Learning Disentangled Representations of Timbre and Pitch for Musical
  Instrument Sounds Using Gaussian Mixture Variational Autoencoders

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders

19 June 2019
Yin-Jyun Luo
Kat R. Agres
Dorien Herremans
ArXivPDFHTML

Papers citing "Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders"

5 / 5 papers shown
Title
Self-Supervised Disentanglement of Harmonic and Rhythmic Features in
  Music Audio Signals
Self-Supervised Disentanglement of Harmonic and Rhythmic Features in Music Audio Signals
Yiming Wu
CoGe
DRL
24
0
0
06 Sep 2023
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant
  Instance Conditioning
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning
Gaku Narita
Junichi Shimizu
Taketo Akama
GAN
21
11
0
10 Nov 2022
Towards Cross-Cultural Analysis using Music Information Dynamics
Towards Cross-Cultural Analysis using Music Information Dynamics
Shlomo Dubnov
Kevin Huang
Cheng-i Wang
12
1
0
24 Nov 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational
  AutoEncoders
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Xiaoyu Chen
Chen Gong
Qiang He
Xinwen Hou
Yu Liu
13
1
0
22 Sep 2021
Is Disentanglement enough? On Latent Representations for Controllable
  Music Generation
Is Disentanglement enough? On Latent Representations for Controllable Music Generation
Ashis Pati
Alexander Lerch
CoGe
DRL
15
16
0
01 Aug 2021
1