arXiv Open Access 2021

LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters

Pritish Chandna António Ramires Xavier Serra Emilia Gómez
Lihat Sumber

Abstrak

Loops, seamlessly repeatable musical segments, are a cornerstone of modern music production. Contemporary artists often mix and match various sampled or pre-recorded loops based on musical criteria such as rhythm, harmony and timbral texture to create compositions. Taking such criteria into account, we present LoopNet, a feed-forward generative model for creating loops conditioned on intuitive parameters. We leverage Music Information Retrieval (MIR) models as well as a large collection of public loop samples in our study and use the Wave-U-Net architecture to map control parameters to audio. We also evaluate the quality of the generated audio and propose intuitive controls for composers to map the ideas in their minds to an audio loop.

Topik & Kata Kunci

Penulis (4)

P

Pritish Chandna

A

António Ramires

X

Xavier Serra

E

Emilia Gómez

Format Sitasi

Chandna, P., Ramires, A., Serra, X., Gómez, E. (2021). LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters. https://arxiv.org/abs/2105.10371

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓