Retrieval-Augmented Text-to-Audio Generation-Reference-Cited by-同舟云学术

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Retrieval-Augmented Text-to-Audio Generation

Published:2024-04-14 Issue: Volume:1 Page:581-585
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Yuan Yi¹,Liu Haohe¹,Liu Xubo¹,Huang Qiushi¹,Plumbley Mark D.¹,Wang Wenwu¹

Affiliation:

1. University of Surrey,School of Computer Science and Electronic Engineering,UK

Funder

Research and Development

Engineering and Physical Sciences Research Council

University of Surrey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447898.pdf?arnumber=10447898

Reference26 articles.

1. AudioLDM: Text-to-Audio generation with latent diffusion models;Liu

2. Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models;Huang

3. WavJourney: Compositional audio creation with large language models;Liu,2023

4. Text-to-Audio Generation using Instruction Guided Latent Diffusion Model

5. AudioCaps: Generating captions for audios in the wild;Kim

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