Diffusion-Based Sound Synthesis in Music Production-Reference-Cited by-同舟云学术

Diffusion-Based Sound Synthesis in Music Production

Published:2024-09-02 Issue: Volume: Page:55-64
ISSN:
Container-title:Proceedings of the 12th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design
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Author:

Suckrow Pierre-Louis Wolfgang Léon¹^ORCID,Weber Christoph Johannes²^ORCID,Rothe Sylvia³^ORCID

Affiliation:

1. Berlin University of the Arts, Berlin, Germany / Technical University of Berlin, Berlin, Germany

2. University of Television and Film Munich, Munich, Germany / LMU Munich, Munich, Germany

3. University of Television and Film Munich, Munich, Germany

Publisher

ACM

Reference35 articles.

1. Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel Mauro Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi Matt Sharifi Neil Zeghidour and Christian Frank. 2023. MusicLM: Generating Music From Text. https://doi.org/10.48550/arXiv.2301.11325 arxiv:2301.11325. 10.48550/arXiv.2301.11325

2. Audio Engineering Society Inc.. 2018. AES5-2018 (Rev. AES5-2008) - AES recommended practice for professional digital audio — Preferred sampling frequencies for applications employing pulse-code modulation. Audio Engineering Society Inc.. https://www.aes.org/tmpFiles/aessc/20231014/aes05-2018-r2023-i.pdf

3. 2011. The audio programming book, Richard Charles Boulanger and Victor Lazzarini (Eds.). MIT Press. isbn:978-0-262-01446-5 OCLC: ocn503654559

4. Prafulla Dhariwal and Alex Nichol. 2021. Diffusion Models Beat GANs on Image Synthesis. https://doi.org/10.48550/arXiv.2105.05233 arxiv:2105.05233. 10.48550/arXiv.2105.05233

5. Timur Doumler. 2015. C++ in the Audio Industry. https://www.youtube.com/watch?v=boPEO2auJj4 CppCon 2015