A Neural Network for Generating Noise Music

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

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Detail(s)

Original languageEnglish
Number of pages3
Publication statusPublished - Dec 2023

Conference

Title19th Workshop on Computer Music and Audio Technology (WOCMAT 2023)
LocationKainan University
PlaceTaiwan
City
Period21 - 22 December 2023

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.

Research Area(s)

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

Bibliographic Note

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

Citation Format(s)

A Neural Network for Generating Noise Music. / CHEN, Manni; Lindborg, PerMagnus.
2023. Paper presented at 19th Workshop on Computer Music and Audio Technology (WOCMAT 2023), Taiwan.

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