MidiTok Visualizer: a tool for visualization and analysis of tokenized MIDI symbolic music
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Abstract (arXiv)
Symbolic music research plays a crucial role in music-related machine learning, but MIDI data can be complex for those without musical expertise. To address this issue, we present MidiTok Visualizer, a web application designed to facilitate the exploration and visualization of various MIDI tokenization methods from the MidiTok Python package. MidiTok Visualizer offers numerous customizable parameters, enabling users to upload MIDI files to visualize tokenized data alongside an interactive piano roll.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 9 references that are in the map. First posted on arXiv 27 Oct 2024.
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References · 8
- 2021Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphscited by 109
- 2021MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Trainingcited by 89
- 2018This Time with Feeling: Learning Expressive Musical Performancecited by 67
- 2020MusPy: A Toolkit for Symbolic Music Generationcited by 37
- 2023miditok: A Python package for MIDI file tokenizationcited by 26
- 2021The Piano Inpainting Applicationcited by 23
- 2023Byte Pair Encoding for Symbolic Musiccited by 19
- 2023Impact of time and note duration tokenizations on deep learning symbolic music modelingcited by 6
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