A Neural Network for Generating Noise Music

Manni CHEN*, PerMagnus Lindborg

*Corresponding author for this work

Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review

Abstract

Generating music with pitch and rhythm has received ample attention from researchers. By contrast, noise music as a special genre is largely ignored so far. This paper aims to generate noise music in ‘Merzbow style’ using a neural network called variational autoencoder (VAE). The results show that our proof-of-concept system can generate noise music.
Original languageEnglish
Number of pages3
Publication statusPublished - Dec 2023
Event19th Workshop on Computer Music and Audio Technology (WOCMAT 2023): Conference & Taiwan Computer Music Concert - Kainan University, Taiwan
Duration: 21 Dec 202322 Dec 2023
https://sites.google.com/view/2023-wocmat-workshop-on-c/home%E9%A6%96%E9%A0%81

Conference

Conference19th Workshop on Computer Music and Audio Technology (WOCMAT 2023)
Country/TerritoryTaiwan
Period21/12/2322/12/23
Internet address

Bibliographical note

Information for this record is supplemented by the author(s) concerned.

Research Keywords

  • noise music generation
  • neural network
  • noise music
  • autoencoder
  • music generation

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