Statistical learning and estimation of piano fingering

E Nakamura, Y Saito, K Yoshii - Information Sciences, 2020 - Elsevier
Automatic estimation of piano fingering is important for understanding the computational
process of music performance and applicable to performance assistance and education …

Note-level automatic guitar transcription using attention mechanism

S Kim, T Hayashi, T Toda - 2022 30th European Signal …, 2022 - ieeexplore.ieee.org
We propose a method that effectively generates a note-level transcription from a guitar
sound signal. In recent years, there have been many successful guitar transcription systems …

[PDF][PDF] Merged-Output HMM for Piano Fingering of Both Hands.

E Nakamura, N Ono, S Sagayama - ISMIR, 2014 - eita-nakamura.github.io
This paper discusses a piano fingering model for both hands and its applications. One of our
motivations behind the study is automating piano reduction from ensemble scores. For this …

Statistical piano reduction controlling performance difficulty

E Nakamura, K Yoshii - APSIPA Transactions on Signal and …, 2018 - cambridge.org
We present a statistical-modeling method for piano reduction, ie converting an ensemble
score into piano scores, that can control performance difficulty. While previous studies have …

MIDI-to-Tab: Guitar tablature inference via masked language modeling

D Edwards, X Riley, P Sarmento, S Dixon - arxiv preprint arxiv …, 2024 - arxiv.org
Guitar tablatures enrich the structure of traditional music notation by assigning each note to
a string and fret of a guitar in a particular tuning, indicating precisely where to play the note …

From music audio to chord tablature: Teaching deep convolutional networks toplay guitar

EJ Humphrey, JP Bello - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
Automatic chord recognition is conventionally tackled as a general music audition task,
where the desired output is a time-aligned sequence of discrete chord symbols, eg CMaj7 …

Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency

K Yazawa, K Itoyama, HG Okuno - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
We describe a method for automatically transcribing guitar tablatures from audio signals in
accordance with the player's proficiency for use as support for a guitar player's practice. The …

AutoLeadGuitar: Automatic generation of guitar solo phrases in the tablature space

M McVicar, S Fukayama, M Goto - 2014 12th international …, 2014 - ieeexplore.ieee.org
We present AutoLeadGuitar, a system for automatically generating guitar solo tablatures
from an input chord and key sequence. Our system generates solos in distinct musical …

[PDF][PDF] Sequence-to-Sequence Network Training Methods for Automatic Guitar Transcription With Tokenized Outputs.

S Kim, K Takeda, T Toda - ISMIR, 2023 - archives.ismir.net
We propose multiple methods for effectively training a sequence-to-sequence automatic
guitar transcription model that uses tokenized music representation as an output. Our …

Guitar Chord Diagram Suggestion for Western Popular Music

A d'Hooge, L Bigo, K Déguernel, N Martin - arxiv preprint arxiv …, 2024 - arxiv.org
Chord diagrams are used by guitar players to show where and how to play a chord on the
fretboard. They are useful to beginners learning chords or for sharing the hand positions …