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

15 November 2023

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

7 / 7 papers shown

Title
HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW Christodoulos Benetatos Frank Cwitkowitz Nathan Pruyne Hugo Flores Garcia P. O'Reilly Z. Duan Bryan Pardo VLM 59 0 0 04 Mar 2025
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
Music2Latent: Consistency Autoencoders for Latent Audio Compression Marco Pasini Stefan Lattner George Fazekas 24 6 0 12 Aug 2024
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models J. Nistal Marco Pasini Cyran Aouameur M. Grachten Stefan Lattner DiffM 47 16 0 12 Jun 2024
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model Deepanway Ghosal Navonil Majumder Ambuj Mehrish Soujanya Poria 152 144 0 24 Apr 2023
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 145 317 0 30 Jan 2023
Simple Pooling Front-ends For Efficient Audio Classification Xubo Liu Haohe Liu Qiuqiang Kong Xinhao Mei Mark D. Plumbley Wenwu Wang 46 16 0 03 Oct 2022