High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching

no code implementations • 4 Jul 2024 • Gael Le Lan, Bowen Shi, Zhaoheng Ni, Sidd Srinivasan, Anurag Kumar, Brian Ellis, David Kant, Varun Nagaraja, Ernie Chang, Wei-Ning Hsu, Yangyang Shi, Vikas Chandra

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.

Denoising Music Generation

On The Open Prompt Challenge In Conditional Audio Generation

no code implementations • 1 Nov 2023 • Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra

Text-to-audio generation (TTA) produces audio from a text description, learning from pairs of audio samples and hand-annotated text.

Audio Generation

In-Context Prompt Editing For Conditional Audio Generation

no code implementations • 1 Nov 2023 • Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gael Le Lan, David Kant, Yangyang Shi, Forrest Iandola, Vikas Chandra

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.

Audio Generation Retrieval