ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.04485
  4. Cited By
Onsets and Velocities: Affordable Real-Time Piano Transcription Using
  Convolutional Neural Networks
v1v2 (latest)

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

European Signal Processing Conference (EUSIPCO), 2023
8 March 2023
Andres Fernandez
ArXiv (abs)PDFHTMLGithub

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

5 / 5 papers shown
Efficient Transformer-Based Piano Transcription With Sparse Attention Mechanisms
Efficient Transformer-Based Piano Transcription With Sparse Attention Mechanisms
Weixing Wei
Kazuyoshi Yoshii
160
0
0
11 Sep 2025
Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription
Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription
Patricia Hu
S. Peter
Jan Schluter
Gerhard Widmer
125
0
0
09 Sep 2025
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
250
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
220
9
0
20 Jun 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.6K
17,346
0
07 Oct 2016
1
Page 1 of 1