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Found 6 papers, 1 papers with code
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
Based on self-supervised representations to bridge between text descriptions and music audios, we construct two flow matching networks to model the conditional distribution of semantic and acoustic features.
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching
We adapt the ReNoise latent inversion method to flow matching and compare it with the original implementation and naive denoising diffusion implicit model (DDIM) inversion on a variety of music editing prompts.
In-Context Prompt Editing For Conditional Audio Generation
We show that the framework enhanced the audio quality across the set of collected user prompts, which were edited with reference to the training captions as exemplars.
Stack-and-Delay: a new codebook pattern for music generation
In language modeling based music generation, a generated waveform is represented by a sequence of hierarchical token stacks that can be decoded either in an auto-regressive manner or in parallel, depending on the codebook patterns.
Simple and Controllable Music Generation
We tackle the task of conditional music generation.
Ranked #10 on
Text-to-Music Generation
on MusicCaps
Self-Supervised Representations for Singing Voice Conversion
A singing voice conversion model converts a song in the voice of an arbitrary source singer to the voice of a target singer.
