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Onsets and Velocities: Affordable Real-Time Piano Transcription Using
  Convolutional Neural Networks

Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks

8 March 2023
Andres Fernandez
ArXivPDFHTML

Papers citing "Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks"

6 / 6 papers shown
Title
Pairing Real-Time Piano Transcription with Symbol-level Tracking for Precise and Robust Score Following
Pairing Real-Time Piano Transcription with Symbol-level Tracking for Precise and Robust Score Following
S. Peter
Patricia Hu
Gerhard Widmer
53
0
0
08 May 2025
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
45
4
0
20 Jun 2024
LEAF: A Learnable Frontend for Audio Classification
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour
O. Teboul
Félix de Chaumont Quitry
Marco Tagliasacchi
VLM
AAML
85
144
0
21 Jan 2021
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
70
22
0
20 Oct 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
950
20,599
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
251
14,387
0
07 Oct 2016
1