Tokenization of MIDI Sequences for Transcription - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2024

Tokenization of MIDI Sequences for Transcription

Yosuke Amagasu
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Masahiko Sakai
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Résumé

There generally exists no simple one-to-one relationship between the events of a MIDI sequence, such as note-on and note-off messages, and the corresponding music notation elements, such as notes, rests, chords, and ornaments. We propose a method for building a formal correspondence between them through a notion of tokens in an input MIDI event sequence and an effective tokenization approach based on a hierarchical representation of music scores. Our tokenization procedure is integrated with an algorithm for music transcription based on parsing wrt a weighted tree grammar. Its effectiveness is shown on examples.

Domaines

Son [cs.SD]
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Dates et versions

hal-04458252 , version 1 (14-02-2024)

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Identifiants

  • HAL Id : hal-04458252 , version 1

Citer

Yosuke Amagasu, Florent Jacquemard, Masahiko Sakai. Tokenization of MIDI Sequences for Transcription. 9th International Conference on Technologies for Music Notation and Representation (TENOR 2024), Apr 2024, Zurich, Switzerland. ⟨hal-04458252⟩
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