Input-output HMM applied to automatic arrangement for guitars

G Hori, H Kameoka, S Sagayama - Information and Media …, 2013 - jstage.jst.go.jp
Given a relatively small selection of guitar scores for a large population of guitarists, there
should be a certain demand for systems that can automatically arrange an arbitrary score for …

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 …

Towards automatic instrumentation by learning to separate parts in symbolic multitrack music

HW Dong, C Donahue, T Berg-Kirkpatrick… - arxiv preprint arxiv …, 2021 - arxiv.org
Modern keyboards allow a musician to play multiple instruments at the same time by
assigning zones--fixed pitch ranges of the keyboard--to different instruments. In this paper …

Difficulty-aware neural band-to-piano score arrangement based on note-and statistic-level criteria

M Terao, Y Hiramatsu, R Ishizuka… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
This paper describes a neural music arrangement method that converts a given band score
into a piano score with an elementary or advanced level. The major challenge of this task …

Generative AI for Music and Audio

HW Dong - 2024 - search.proquest.com
Generative AI has been transforming the way we interact with technology and consume
content. In the next decade, AI technology will reshape how we create audio content in …

[PDF][PDF] HMM-based automatic arrangement for guitars with transposition and its implementation

G Hori, S Sagayama - ICMC, 2014 - smc.afim-asso.org
Automatic generation of guitar tablatures for given songs has been one of research interests
in music information processing. Furthermore, some of recent studies have attempted …

Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control

M Terao, E Nakamura, K Yoshii - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper describes a music arrangement method of popular music that can convert a band
score into a piano score with a steplessly-specified level of performance difficulty. The basic …

難易度に応じた音符統計量と深層学習に基づくバンド譜のピアノ編曲

寺尾萌夢, 吉井和佳 - 研究報告音楽情報科学 (MUS), 2021 - ipsj.ixsq.nii.ac.jp
論文抄録 本稿では, 深層ニューラルネットワーク (DNN) を用いて, ポピュラー音楽のバンド譜を,
指定された難易度 (初級または上級) のピアノ譜に編曲する手法について述べる …

Automated Arrangements of Multi-Part Music for Sets of Monophonic Instruments

M Mccloskey, G Curcio, A Badineni, K Mcgrath… - arxiv preprint arxiv …, 2023 - arxiv.org
Arranging music for a different set of instruments that it was originally written for is
traditionally a tedious and time-consuming process, performed by experts with intricate …

入出力隠れマルコフモデルの復号によるギターのための自動編曲

堀玄, 亀岡弘和, 嵯峨山茂樹 - 研究報告音楽情報科学 (MUS), 2012 - ipsj.ixsq.nii.ac.jp
論文抄録 入出力隠れマルコフモデルに基づき, 与えられた楽曲を自動的にギターで演奏できるよう
に編曲し, 同時に運指決定を行うアルゴリズムを導入する. このアルゴリズムは元々ギターで演奏 …