Difficulty-Aware Neural Band-to-Piano Score Arrangement based on Note- and Statistic-Level Criteria-Reference-Cited by-同舟云学术

Difficulty-Aware Neural Band-to-Piano Score Arrangement based on Note- and Statistic-Level Criteria

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Terao Moyu¹,Hiramatsu Yuki¹,Ishizuka Ryoto¹,Wu Yiming¹,Yoshii Kazuyoshi¹

Affiliation:

1. Kyoto University,Graduate School of Informatics,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747615.pdf?arnumber=9747615

Reference20 articles.

1. Live orchestral piano, a system for real-time orchestral music generation;crestel;Proc Sound and Music Computing Conference,2017

2. Pop909: A pop-song dataset for music arrangement generation;wang;Proc International Society for Music Information Retrieval Conference,2020

3. MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

4. Musical Composition Style Transfer via Disentangled Timbre Representations

5. Automatic piano reduction from ensemble scores based on merged-output hidden Markov model;nakamura;Proc International Computer Music Conference,2015

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Piano score rearrangement into multiple difficulty levels via notation-to-notation approach;EURASIP Journal on Audio, Speech, and Music Processing;2023-12-05

2. Joint-optimized feature selection and classifier hyperparameters by salp swarm algorithm in piano score difficulty measurement problem;Applied Soft Computing;2023-09

3. Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04