Machine Learning Techniques in Automatic Music Transcription: A
Systematic Survey

Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey

20 June 2024

Fatemeh Jamshidi

Amit Das

Richard Chapman

Papers citing "Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey"

5 / 5 papers shown

Title
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey Dinh-Viet-Toan Le Louis Bigo Mikaela Keller Dorien Herremans MedIm 19 9 0 27 Feb 2024
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data K. Cheuk Dorien Herremans Li Su 58 31 0 11 Jul 2021
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
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 190 14,190 0 07 Oct 2016