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Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models

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arxiv 2406.08384 v2 pith:WHLT52XJ submitted 2024-06-12 cs.SD cs.AIeess.AS

Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models

Javier Nistal , Marco Pasini , Cyran Aouameur , Maarten Grachten , Stefan Lattner This is my paper
classification cs.SD cs.AIeess.AS
keywords audiomodelmusicaldiff-a-riffdiffusionlatentmodelsmusic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Recent advancements in deep generative models present new opportunities for music production but also pose challenges, such as high computational demands and limited audio quality. Moreover, current systems frequently rely solely on text input and typically focus on producing complete musical pieces, which is incompatible with existing workflows in music production. To address these issues, we introduce "Diff-A-Riff," a Latent Diffusion Model designed to generate high-quality instrumental accompaniments adaptable to any musical context. This model offers control through either audio references, text prompts, or both, and produces 48kHz pseudo-stereo audio while significantly reducing inference time and memory usage. We demonstrate the model's capabilities through objective metrics and subjective listening tests, with extensive examples available on the accompanying website: sonycslparis.github.io/diffariff-companion/

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