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Recent advances in text-to-music generation models have opened new avenues in musical creativity.
Auto-encoding variational Bayes
Diederik P Kingma and Max Welling · 2013
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librosa: Audio and music signal analysis in Python
Brian McFee, Colin Raffel, Dawen Liang, Daniel P Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto · 2015
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Music style transfer: A position paper
Shuqi Dai, Zheng Zhang, and Gus G Xia · 2018
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Enabling factorized piano music modeling and generation with the MAESTRO dataset
Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Jiaqi Su, Zeyu Jin, and Adam Finkelstein · 2020
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POP909: A pop-song dataset for music arrangement generation
Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, and Gus Xia · 2020
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BUTTER: A representation learning framework for bi-directional music-sentence retrieval and generation
Yixiao Zhang, Ziyu Wang, Dingsu Wang, and Gus Xia · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Accomontage: Accompaniment arrangement via phrase selection and style transfer
Jingwei Zhao and Gus Xia · 2021
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2022
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Prompt-to-prompt image editing with cross-attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-or · 2022
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Masked autoencoders that listen
Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, and Christoph Feichtenhofer · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
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
Cited alongside, same era.
MusicLDM: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies
Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, and Shlomo Dubnov · 2023
Cited alongside, same era.
Simple and controllable music generation
Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, and Alexandre Défossez · 2023
Cited alongside, same era.
Polyffusion: A diffusion model for polyphonic score generation with internal and external controls
Lejun Min, Junyan Jiang, Gus Xia, and Jingwei Zhao · 2023
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Stemgen: A music generation model that listens
Julian D Parker, Janne Spijkervet, Katerina Kosta, Furkan Yesiler, Boris Kuznetsov, Ju-Chiang Wang, Matt Avent, Jitong Chen, and Duc Le · 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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Möusai: Text-to-music generation with long-context latent diffusion
Flavio Schneider, Zhijing Jin, and Bernhard Schölkopf · 2023
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Plug-and-play diffusion features for text-driven image-to-image translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2023
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Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, and Soujanya Poria · 2023
Cited alongside, same era.
InstructME: An instruction guided music edit and remix framework with latent diffusion models
Bing Han, Junyu Dai, Xuchen Song, Weituo Hao, Xinyan He, Dong Guo, Jitong Chen, Yuxuan Wang, and Yanmin Qian · 2023
Cited alongside, same era.
Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 2023
Cited alongside, same era.
Efficient neural music generation
Max WY Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, et al · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Content-based controls for music large language modeling
Liwei Lin, Gus Xia, Junyan Jiang, and Yixiao Zhang · 2023
Cited alongside, same era.
AudioLDM 2: Learning holistic audio generation with self-supervised pretraining
Haohe Liu, Qiao Tian, Yi Yuan, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Yuping Wang, Wenwu Wang, Yuxuan Wang, and Mark D Plumbley · 2023
Cited alongside, same era.
Music understanding llama: Advancing text-to-music generation with question answering and captioning
Shansong Liu, Atin Sakkeer Hussain, Chenshuo Sun, and Ying Shan · 2023
Cited alongside, same era.
AUDIT: Audio editing by following instructions with latent diffusion models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, and Sheng Zhao · 2023
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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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Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation
Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, and Shlomo Dubnov · 2023
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Transplayer: Timbre style transfer with flexible timbre control
Yuxuan Wu, Yifan He, Xinlu Liu, Yi Wang, and Roger B Dannenberg · 2023
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Jen-1 composer: A unified framework for high-fidelity multi-track music generation
Yao Yao, Peike Li, Boyu Chen, and Alex Wang · 2023
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Loop Copilot: Conducting AI ensembles for music generation and iterative editing
Yixiao Zhang, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, and Simon Dixon · 2023
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Instruct-Imagen: Image generation with multi-modal instruction
Hexiang Hu, Kelvin CK Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, et al · 2024
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Efficient parallel audio generation using group masked language modeling
Myeonghun Jeong, Minchan Kim, Joun Yeop Lee, and Nam Soo Kim · 2024
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Zero-shot unsupervised and text-based audio editing using DDPM inversion
Hila Manor and Tomer Michaeli · 2024
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Ditto: Diffusion inference-time t-optimization for music generation, 2024
Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, and Nicholas J. Bryan · 2024
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