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We introduce MelodyFlow, an efficient text-controllable high-fidelity music generation and editing model.
Algorithms to measure audio programme loudness and true-peak audio level
BS Series · 2011
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Cnn architectures for large-scale audio classification
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Jonathan Le Roux, Scott Wisdom, Hakan Erdogan, and John R Hershey · 2019
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Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms
Dominik Roblek, Kevin Kilgour, Matt Sharifi, and Mauricio Zuluaga · 2019
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Perceptual loss function for neural modelling of audio systems, 2019
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Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Automatic multitrack mixing with a differentiable mixing console of neural audio effects, 2020
Christian J. Steinmetz, Jordi Pons, Santiago Pascual, and Joan Serrà · 2020
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Taming visually guided sound generation
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Efficient training of audio transformers with patchout
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Soundstream: An end-to-end neural audio codec
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High fidelity neural audio compression
Alexandre Défossez, Jade Copet, Gabriel Synnaeve, and Yossi Adi · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 2022
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Flow matching for generative modeling
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Musiclm: Generating music from text
Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, et al · 2023
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All are worth words: A vit backbone for diffusion models
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
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Clap learning audio concepts from natural language supervision
Benjamin Elizalde, Soham Deshmukh, Mahmoud Al Ismail, and Huaming Wang · 2023
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Vampnet: Music generation via masked acoustic token modeling
Hugo Flores Garcia, Prem Seetharaman, Rithesh Kumar, and Bryan Pardo · 2023
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Text-to-audio generation using instruction-tuned llm and latent diffusion model
Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, and Soujanya Poria · 2023
Music controlnet: Multiple time-varying controls for music generation
Shih-Lun Wu, Chris Donahue, Shinji Watanabe, and Nicholas J Bryan · 2023
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Pytorch fsdp: experiences on scaling fully sharded data parallel
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, et al · 2023
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Masked audio generative modeling
Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, and Yossi Adi · 2023
Later among the works it cites.
Simple and controllable music generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, and Alexandre Défossez · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Diffit: Diffusion vision transformers for image generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, and Arash Vahdat · 2023
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Noise2music: Text-conditioned music generation with diffusion models
Qingqing Huang, Daniel S Park, Tao Wang, Timo I Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Frank, et al · 2023
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An edit friendly ddpm noise space: Inversion and manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, and Tomer Michaeli · 2023
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Jen-1: Text-guided universal music generation with omnidirectional diffusion models
Peike Li, Boyu Chen, Yao Yao, Yikai Wang, Allen Wang, and Alex Wang · 2023
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Null-text inversion for editing real images using guided diffusion models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2023
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Zero-shot image-to-image translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, and Jun-Yan Zhu · 2023
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Multisample flow matching: Straightening flows with minibatch couplings
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Scaling rectified flow transformers for high-resolution image synthesis
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Understanding diffusion objectives as the elbo with simple data augmentation
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Voicebox: Text-guided multilingual universal speech generation at scale
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Zero-shot unsupervised and text-based audio editing using ddpm inversion
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Ditto: Diffusion inference-time t-optimization for music generation
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Musicflow: Cascaded flow matching for text guided music generation
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Musicmagus: Zero-shot text-to-music editing via diffusion models
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