Disentangling the Horowitz Factor: Learning Content and Style From Expressive Piano Performance-Reference-Cited by-同舟云学术

Disentangling the Horowitz Factor: Learning Content and Style From Expressive Piano Performance

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhang Huan¹,Dixon Simon¹

Affiliation:

1. Queen Mary University of London,Centre for Digital Music,UK

Funder

UK Research and Innovation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095009.pdf?arnumber=10095009

Reference29 articles.

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4. ATEPP: A dataset of automatically transcribed expressive piano performance;zhang;Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR),2022

5. Is disentanglement enough? On latent representations for controllable music generation;pati;Proceedings of the 22nd International Society for Music Information Retrieval Conference (ISMIR),2021

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1. DExter: Learning and Controlling Performance Expression with Diffusion Models;Applied Sciences;2024-07-26

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