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ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for
  Low-Resource Real-World Data

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data

11 July 2021
K. Cheuk
Dorien Herremans
Li Su
ArXivPDFHTML

Papers citing "ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data"

4 / 4 papers shown
Title
Text2Data: Low-Resource Data Generation with Textual Control
Text2Data: Low-Resource Data Generation with Textual Control
Shiyu Wang
Yihao Feng
Tian Lan
Ning Yu
Yu Bai
R. Xu
H. Wang
Caiming Xiong
S.
DiffM
73
0
0
03 Jan 2025
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer
  Architectures and Cross-dataset Stem Augmentation
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
Sungkyun Chang
Emmanouil Benetos
Holger Kirchhoff
Simon Dixon
18
2
0
05 Jul 2024
Machine Learning Techniques in Automatic Music Transcription: A
  Systematic Survey
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
Fatemeh Jamshidi
Gary Pike
Amit Das
Richard Chapman
24
3
0
20 Jun 2024
The Effect of Spectrogram Reconstruction on Automatic Music
  Transcription: An Alternative Approach to Improve Transcription Accuracy
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy
K. Cheuk
Yin-Jyun Luo
Emmanouil Benetos
Dorien Herremans
62
21
0
20 Oct 2020
1