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EDMSound: Spectrogram Based Diffusion Models for Efficient and
  High-Quality Audio Synthesis

EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis

15 November 2023
Ge Zhu
Yutong Wen
M. Carbonneau
Zhiyao Duan
    DiffM
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Papers citing "EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis"

4 / 4 papers shown
Title
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
45
5
0
07 Oct 2024
Text-to-Audio Generation using Instruction-Tuned LLM and Latent
  Diffusion Model
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
Deepanway Ghosal
Navonil Majumder
Ambuj Mehrish
Soujanya Poria
138
141
0
24 Apr 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion
  Models
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang
Jia-Bin Huang
Dongchao Yang
Yi Ren
Luping Liu
Mingze Li
Zhenhui Ye
Jinglin Liu
Xiaoyue Yin
Zhou Zhao
DiffM
140
315
0
30 Jan 2023
Simple Pooling Front-ends For Efficient Audio Classification
Simple Pooling Front-ends For Efficient Audio Classification
Xubo Liu
Haohe Liu
Qiuqiang Kong
Xinhao Mei
Mark D. Plumbley
Wenwu Wang
35
16
0
03 Oct 2022
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