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

International Conference on Pattern Recognition (ICPR), 2022

20 October 2020

Emmanouil Benetos

Dorien Herremans

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Papers citing "The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy"

6 / 6 papers shown

Title
The Inverse Drum Machine: Source Separation Through Joint Transcription and Analysis-by-Synthesis Bernardo Torres Geoffroy Peeters G. Richard 109 0 0 06 May 2025
Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks Andres Fernandez 110 5 0 08 Mar 2023
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability K. Cheuk Ryosuke Sawata Toshimitsu Uesaka Naoki Murata Naoya Takahashi Shusuke Takahashi Dorien Herremans Yuki Mitsufuji DiffM 122 18 0 11 Oct 2022
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation Christof Weiss Geoffroy Peeters 57 3 0 18 Feb 2022
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data K. Cheuk Dorien Herremans Li Su 266 34 0 11 Jul 2021
Revisiting the Onsets and Frames Model with Additive Attention K. Cheuk Yin-Jyun Luo Emmanouil Benetos Dorien Herremans 97 21 0 14 Apr 2021