Fetching the paper…
Reading the bibliography…
Creating music is iterative, requiring varied methods at each stage.
The blackboard model of problem solving and the evolution of blackboard architectures
H Penny Nii · 1986
Earlier work this paper cites.
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Fred D Davis · 1989
Earlier work this paper cites.
Sus: a “quick and dirty’usability
John Brooke · 1996
Earlier work this paper cites.
Advanced mixed methods research designs
John Creswell, Vickie Clark, Michelle Gutmann, and William Hanson · 2003
Earlier work this paper cites.
Mysong: Automatic accompaniment generation for vocal melodies
Ian Simon, Dan Morris, and Sumit Basu · 2008
Earlier work this paper cites.
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville, and Douglas Eck · 2019
Earlier work this paper cites.
Musical composition style transfer via disentangled timbre representations
Yun-Ning Hung, I-Tung Chiang, Yi-An Chen, and Yi-Hsuan Yang · 2019
Earlier work this paper cites.
Magenta Studio: Augmenting creativity with deep learning in Ableton Live
Adam Roberts, Jesse Engel, Yotam Mann, Jon Gillick, Claire Kayacik, Signe Nørly, Monica Dinculescu, Carey Radebaugh, Curtis Hawthorne, and Douglas Eck · 2019
Earlier work this paper cites.
Deep music analogy via latent representation disentanglement
Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, and Gus Xia · 2019
Earlier work this paper cites.
Cocon: A self-supervised approach for controlled text generation
Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, and Jie Fu · 2020
Earlier work this paper cites.
Groove2groove: One-shot music style transfer with supervision from synthetic data
Ondřej Cífka, Umut Şimşekli, and Gaël Richard · 2020
Earlier work this paper cites.
Jukebox: A generative model for music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, and Ilya Sutskever · 2020
Earlier work this paper cites.
Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions
Yu-Siang Huang and Yi-Hsuan Yang · 2020
Earlier work this paper cites.
AI song contest: Human-AI co-creation in songwriting
Cheng-Zhi Anna Huang, Hendrik Vincent Koops, Ed Newton-Rex, Monica Dinculescu, and Carrie J Cai · 2020
Earlier work this paper cites.
Shulei Ji, Jing Luo, and Xinyu Yang · 2020
Earlier work this paper cites.
Novice-AI music co-creation via AI-steering tools for deep generative models
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J Cai · 2020
Earlier work this paper cites.
Hao Hao Tan and Dorien Herremans · 2020
Cited alongside, same era.
Learning interpretable representation for controllable polyphonic music generation
Ziyu Wang, Dingsu Wang, Yixiao Zhang, and Gus Xia · 2020
Cited alongside, same era.
BUTTER: A representation learning framework for bi-directional music-sentence retrieval and generation
Yixiao Zhang, Ziyu Wang, Dingsu Wang, and Gus Xia · 2020
Cited alongside, same era.
Controllable deep melody generation via hierarchical music structure representation
Shuqi Dai, Zeyu Jin, Celso Gomes, and Roger B Dannenberg · 2021
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
Closest in time.
LP-MusicCaps: LLM-based pseudo music captioning
SeungHeon Doh, Keunwoo Choi, Jongpil Lee, and Juhan Nam · 2023
Closest in time.
Multitrack music transformer
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, and Taylor Berg-Kirkpatrick · 2023
Closest in time.
VampNet: Music generation via masked acoustic token modeling
Hugo Flores Garcia, Prem Seetharaman, Rithesh Kumar, and Bryan Pardo · 2023
Closest in time.
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
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gautam Mittal, Jesse Engel, Curtis Hawthorne, and Ian Simon · 2021
Cited alongside, same era.
SongMASS: Automatic song writing with pre-training and alignment constraint
Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, and Tao Qin · 2021
Cited alongside, same era.
Midi-ddsp: Detailed control of musical performance via hierarchical modeling
Yusong Wu, Ethan Manilow, Yi Deng, Rigel Swavely, Kyle Kastner, Tim Cooijmans, Aaron Courville, Cheng-Zhi Anna Huang, and Jesse Engel · 2021
Cited alongside, same era.
Torchaudio: Building blocks for audio and speech processing
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, and Yangyang Shi · 2021
Cited alongside, same era.
COSMIC: A conversational interface for human-AI music co-creation
Yixiao Zhang, Gus Xia, Mark Levy, and Simon Dixon · 2021
Cited alongside, same era.
Accomontage: Accompaniment arrangement via phrase selection and style transfer
Jingwei Zhao and Gus Xia · 2021
Cited alongside, same era.
Calliope: A co-creative interface for multi-track music generation
Renaud Bougueng Tchemeube, Jeffrey John Ens, and Philippe Pasquier · 2022
Cited alongside, same era.
Visualization for AI-assisted composing
Simeon Rau, Frank Heyen, Stefan Wagner, and Michael Sedlmair · 2022
Cited alongside, same era.
Closest in time.
AudioGPT: Understanding and generating speech, music, sound, and talking head
Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu, et al · 2023
Closest in time.
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
Closest in time.
Polyffusion: A diffusion model for polyphonic score generation with internal and external controls
Lejun Min, Junyan Jiang, Gus Xia, and Jingwei Zhao · 2023
Closest in time.
Hybrid transformers for music source separation
Simon Rouard, Francisco Massa, and Alexandre Défossez · 2023
Closest in time.
ChatGPT music: How to write prompts for chords and melodies, Aug 2023
Ezra Sandzer-Bell · 2023
Closest in time.
HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
Closest in time.
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
Closest in time.
Visual ChatGPT: Talking, drawing and editing with visual foundation models
Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, and Nan Duan · 2023
Closest in time.
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
Closest in time.
MusicAgent: An AI agent for music understanding and generation with large language models
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, and Jiang Bian · 2023
Closest in time.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Closest in time.