Generation or Replication: Auscultating Audio Latent Diffusion Models-Reference-Cited by-同舟云学术

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Generation or Replication: Auscultating Audio Latent Diffusion Models

Published:2024-04-14 Issue: Volume: Page:1156-1160
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Bralios Dimitrios¹,Wichern Gordon¹,Germain François G.¹,Pan Zexu¹,Khurana Sameer¹,Hori Chiori¹,Roux Jonathan Le¹

Affiliation:

1. Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447705.pdf?arnumber=10447705

Reference34 articles.

1. Generative modeling by estimating gradients of the data distribution;Song

2. Denoising diffusion probabilistic models;Ho

3. Hierarchical text-conditional image generation with CLIP latents;Ramesh,2022

4. High-Resolution Image Synthesis with Latent Diffusion Models

5. Extracting training data from diffusion models;Carlini

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