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We present and release MIDI-GPT, a generative system based on the Transformer architecture that is designed for computer-assisted music composition workflows.
MMM : Exploring Conditional Multi-Track Music Generation with the Transformer
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Avoiding Plagiarism in Markov Sequence Generation
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The Basis Mixer: A Computational Romantic Pianist
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Neural Translation of Musical Style
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Deep Learning Techniques for Music Generation
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LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training
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Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style
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Learning to Groove with Inverse Sequence Transformations
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How Generative Adversarial Networks and Their Variants Work: An Overview
Hong, Y.; Hwang, U.; Yoo, J.; and Yoon, S. 2019 · 2019
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Music Transformer: Generating Music with Long-Term Structure
Huang, C. A.; Vaswani, A.; Uszkoreit, J.; Simon, I.; Hawthorne, C.; Shazeer, N.; Dai, A. M.; Hoffman, M. D.; Dinculescu, M.; and Eck, D. 2019 · 2019
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Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN
Maezawa, A.; Yamamoto, K.; and Fujishima, T. 2019 · 2019
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Learning to Traverse Latent Spaces for Musical Score Inpainting
Pati, A.; Lerch, A.; and Hadjeres, G. 2019 · 2019
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Machine learning research that matters for music creation: A case study
Sturm, B. L.; Ben-Tal, O.; Monaghan, Ú.; Collins, N.; Herremans, D.; Chew, E.; Hadjeres, G.; Deruty, E.; and Pachet, F. 2019 · 2019
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Music SketchNet: Controllable music generation via factorized representations of pitch and rhythm
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Generating music with a self-correcting non- chronological autoregressive model
Chi, W.; Kumar, P.; Yaddanapudi, S.; Rahul, S.; and Isik, U. 2020 · 2020
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Byte Pair Encoding for Symbolic Music
Fradet, N.; Gutowski, N.; Chhel, F.; and Briot, J.-P. 2023a · 2020
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Pop Music Transformer: Beat-Based Modeling and Generation of Expressive Pop Piano Compositions
Huang, Y.-S.; and Yang, Y.-H. 2020 · 2020
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This time with feeling: learning expressive musical performance
Oore, S.; Simon, I.; Dieleman, S.; Eck, D.; and Simonyan, K. 2020 · 2020
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PopMAG: Pop Music Accompaniment Generation
Transformer Neural Networks for Automated Rhythm Generation
Nuttall, T.; Haki, B.; and Jorda, S. 2021 · 2021
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MuseBERT: Pre-training Music Representation for Music Understanding and Controllable Generation
Wang, Z.; and Xia, G. 2021 · 2021
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MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control
Guo, R.; Simpson, I.; Kiefer, C.; Magnusson, T.; and Herremans, D. 2022 · 2022
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Real-Time Drum Accompaniment Using Transformer Architecture
Haki, B.; Nieto, M.; Pelinski, T.; and Jordà, S. 2022 · 2022
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Symphony Generation with Permutation Invariant Language Model
Liu, J.; Dong, Y.; Cheng, Z.; Zhang, X.; Li, X.; Yu, F.; and Sun, M. 2022 · 2022
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PreGLAM-MMM: Application and evaluation of affective adaptive generative music in video games
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Ren, Y.; He, J.; Tan, X.; Qin, T.; Zhao, Z.; and Liu, T.-Y. 2020 · 2020
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Music FaderNets: Controllable music generation based on high-Level features via low-level feature modelling
TAN, H. H.; and Herremans, D. 2020 · 2020
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Learning interpretable representation for controllable polyphonic music generation
Wang, Z.; Wang, D.; Zhang, Y.; and Xia, G. 2020 · 2020
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Transformers: State-of-the-Art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Scao, T. L.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. M. 2020 · 2020
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The jazz transformer on the front line: Exploring the shortcomings of AI-composed music through quantitative measures
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Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
Chang, C.-J.; Lee, C.-Y.; and Yang, Y.-H. 2021 · 2021
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Building the MetaMIDI Dataset: Linking Symbolic and Audio Musical Data
Ens, J.; and Pasquier, P. 2021 · 2021
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Plut, C.; Pasquier, P.; Ens, J.; and Tchemeube, R. 2022 · 2022
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MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Wu, Y.; Manilow, E.; Deng, Y.; Swavely, R.; Kastner, K.; Cooijmans, T.; Courville, A.; Huang, C.-Z. A.; and Engel, J. 2022 · 2022
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Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
Bougueng Tchemeube, R.; Ens, J.; Plut, C.; Pasquier, P.; Safi, M.; Grabit, Y.; and Rolland, J.-B. 2023 · 2023
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Expressor: A Transformer Model for Expressive MIDI Performance
Collins, T.; and Barthet, M. 2023 · 2023
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Multitrack Music Transformer
Dong, H.-W.; Chen, K.; Dubnov, S.; McAuley, J.; and Berg-Kirkpatrick, T. 2023 · 2023
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FIGARO: Controllable Music Generation using Learned and Expert Features
von Rütte, D.; Biggio, L.; Kilcher, Y.; and Hofmann, T. 2023 · 2023
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200+ Artists Urge Tech Platforms: Stop Devaluing Music
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MusicMap
Crauwels, K. 2022 · 2024
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The GigaMIDI Dataset with Features for Expressive Music Performance Detection
Lee, K. J. M.; Ens, J.; Adkins, S.; Sarmento, P.; Barthet, M.; and Pasquier, P. 2024 · 2024
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Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2024
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