Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
language:
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Author:

Fernandez Andres¹

Affiliation:

1. University of Tübingen and IMPRS-IS,Tübingen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290067.pdf?arnumber=10290067

Reference52 articles.

1. LEAF: A learnable frontend for audio classification;zeghidour;International Conference on Learning Representations,2021

2. On the potential of simple framewise approaches to piano transcription;kelz;ISMIR Proceedings,2016

3. PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

4. mir_eval: A transparent implementation of common MIR metrics;raffel;ISMIR Proceedings,2014

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