- See Also
-
Links
- “Speak, Read and Prompt (SPEAR-TTS): High-Fidelity Text-to-Speech With Minimal Supervision”, Et Al 2023
- “Archisound: Audio Generation With Diffusion”, 2023
- “Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023
- “Rock Guitar Tablature Generation via Natural Language Processing”, Casco-2023
- “VALL-E: Neural Codec Language Models Are Zero-Shot Text to Speech Synthesizers”, Et Al 2023
- “High Fidelity Neural Audio Compression”, Et Al 2022
- “Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Et Al 2022
- “RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022
- “AudioLM: a Language Modeling Approach to Audio Generation”, Et Al 2022
- “MeloForm: Generating Melody With Musical Form Based on Expert Systems and Neural Networks”, Et Al 2022
- “AI Composer Bias: Listeners like Music Less When They Think It Was Composed by an AI”, Et Al 2022
- “Musika! Fast Infinite Waveform Music Generation”, Pasini & 2022
- “Multitrack Music Transformer: Learning Long-Term Dependencies in Music With Diverse Instruments”, Et Al 2022
- “CLAP: Learning Audio Concepts From Natural Language Supervision”, Et Al 2022
- “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Et Al 2022
- “Tradformer: A Transformer Model of Traditional Music Transcriptions”, 2022
- “SymphonyNet: Symphony Generation With Permutation Invariant Language Model”, Et Al 2022
- “It’s Raw! Audio Generation With State-Space Models”, Et Al 2022
- “General-purpose, Long-context Autoregressive Modeling With Perceiver AR”, Et Al 2022
- “FIGARO: Generating Symbolic Music With Fine-Grained Artistic Control”, Et Al 2022
- “Steerable Discovery of Neural Audio Effects”, 2021
- “Semi-Supervised Music Tagging Transformer”, Et Al 2021
- “AudioCLIP: Extending CLIP to Image, Text and Audio”, Et Al 2021
- “MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, Et Al 2021
- “PriorGrad: Improving Conditional Denoising Diffusion Models With Data-Dependent Adaptive Prior”, Et Al 2021
- “DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, Et Al 2021
- “Symbolic Music Generation With Diffusion Models”, Et Al 2021
- “Interacting With GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation”, Geerlings & Meroño-2020
- “HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, Et Al 2020
- “AI Song Contest: Human-AI Co-Creation in Songwriting”, Et Al 2020
- “DeepSinger: Singing Voice Synthesis With Data Mined From the Web”, Et Al 2020
- “Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models”, 2020
- “15.ai”, 15 & 2020
- “Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions”, 2020
- “Writing the Next American Hit: Using GPT-2 to Explore the Possibility of Creating Successful AI-Generated Song Lyrics Possibility of Creating Successful AI-Generated Song Lyric”, 2020
- “GPT-2 Preference Learning for Music Generation”, 2019
- “Encoding Musical Style With Transformer Autoencoders”, Et Al 2019
- “GPT-2 Folk Music”, 2019
- “Parallel WaveGAN: A Fast Waveform Generation Model Based on Generative Adversarial Networks With Multi-resolution Spectrogram”, Et Al 2019
- “Low-dimensional Embodied Semantics for Music and Language”, Et Al 2019
- “MuseNet: a Deep Neural Network That Can Generate 4-minute Musical Compositions With 10 Different Instruments, and Can Combine Styles from Country to Mozart to the Beatles”, 2019
- “Generative Modeling With Sparse Transformers: We’ve Developed the Sparse Transformer, a Deep Neural Network Which Sets New Records at Predicting What Comes next in a Sequence—whether Text, Images, or Sound. It Uses an Algorithmic Improvement of The Attention Mechanism to Extract Patterns from Sequences 30× Longer Than Possible Previously”, 2019
- “Music Transformer: Generating Music With Long-Term Structure”, Et Al 2018
- “Piano Genie”, Et Al 2018
- “Music Transformer”, Et Al 2018
- “This Time With Feeling: Learning Expressive Musical Performance”, Et Al 2018
- “The Challenge of Realistic Music Generation: Modelling Raw Audio at Scale”, Et Al 2018
- “The Sound of Pixels”, Et Al 2018
- “Efficient Neural Audio Synthesis”, Et Al 2018
- “Generating Structured Music through Self-Attention”, Et Al 2018
- “Towards Deep Modeling of Music Semantics Using EEG Regularizers”, Et Al 2017
- “Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, Et Al 2017
- “Neural Audio Synthesis of Musical Notes With WaveNet Autoencoders”, Et Al 2017
- “Tuning Recurrent Neural Networks With Reinforcement Learning”, Et Al 2017
- “SampleRNN: An Unconditional End-to-End Neural Audio Generation Model”, Et Al 2016
- “WaveNet: A Generative Model for Raw Audio”, Et Al 2016
-
“The Abc Music Standard 2.1: §3.1.1:
X:
- Reference Number”, 2011 - “Connectionist Music Composition Based on Melodic, Stylistic, and Psychophysical Constraints [Technical Report CU-CS–495–90]”, 1990
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“Speak, Read and Prompt (SPEAR-TTS): High-Fidelity Text-to-Speech With Minimal Supervision”, Et Al 2023
“Speak, Read and Prompt (SPEAR-TTS): High-Fidelity Text-to-Speech with Minimal Supervision”, 2023-02-07 ( ; similar)
“Archisound: Audio Generation With Diffusion”, 2023
“Archisound: Audio Generation With Diffusion”, 2023-01-16 ( ; similar; bibliography)
“Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023
“Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023-01-16 ( ; similar)
“Rock Guitar Tablature Generation via Natural Language Processing”, Casco-2023
“Rock Guitar Tablature Generation via Natural Language Processing”, 2023-01-12 ( ; similar)
“VALL-E: Neural Codec Language Models Are Zero-Shot Text to Speech Synthesizers”, Et Al 2023
“VALL-E: Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers”, 2023-01-05 ( ; similar; bibliography)
“High Fidelity Neural Audio Compression”, Et Al 2022
“High Fidelity Neural Audio Compression”, 2022-10-24 ( ; similar; bibliography)
“Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Et Al 2022
“Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, 2022-10-14 ( ; similar; bibliography)
“RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022
“RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022-09-29 ( ; similar)
“AudioLM: a Language Modeling Approach to Audio Generation”, Et Al 2022
“AudioLM: a Language Modeling Approach to Audio Generation”, 2022-09-07 ( ; similar)
“MeloForm: Generating Melody With Musical Form Based on Expert Systems and Neural Networks”, Et Al 2022
“MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks”, 2022-08-30 ( ; similar)
“AI Composer Bias: Listeners like Music Less When They Think It Was Composed by an AI”, Et Al 2022
“AI composer bias: Listeners like music less when they think it was composed by an AI”, 2022-08-25 ( ; similar; bibliography)
“Musika! Fast Infinite Waveform Music Generation”, Pasini & 2022
“Musika! Fast Infinite Waveform Music Generation”, 2022-08-18 ( ; similar)
“Multitrack Music Transformer: Learning Long-Term Dependencies in Music With Diverse Instruments”, Et Al 2022
“Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments”, 2022-07-14 ( ; similar)
“CLAP: Learning Audio Concepts From Natural Language Supervision”, Et Al 2022
“CLAP: Learning Audio Concepts From Natural Language Supervision”, 2022-06-09 ( ; similar)
“BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Et Al 2022
“BigVGAN: A Universal Neural Vocoder with Large-Scale Training”, 2022-06-09 ( ; similar; bibliography)
“Tradformer: A Transformer Model of Traditional Music Transcriptions”, 2022
“Tradformer: A Transformer Model of Traditional Music Transcriptions”, 2022-05-20 ( ; similar)
“SymphonyNet: Symphony Generation With Permutation Invariant Language Model”, Et Al 2022
“SymphonyNet: Symphony Generation with Permutation Invariant Language Model”, 2022-05-10 ( ; similar)
“It’s Raw! Audio Generation With State-Space Models”, Et Al 2022
“It’s Raw! Audio Generation with State-Space Models”, 2022-02-20 ( ; backlinks; similar; bibliography)
“General-purpose, Long-context Autoregressive Modeling With Perceiver AR”, Et Al 2022
“General-purpose, long-context autoregressive modeling with Perceiver AR”, 2022-02-15 ( ; similar; bibliography)
“FIGARO: Generating Symbolic Music With Fine-Grained Artistic Control”, Et Al 2022
“FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control”, 2022-01-26 ( ; similar)
“Steerable Discovery of Neural Audio Effects”, 2021
“Steerable discovery of neural audio effects”, 2021-12-06 (similar)
“Semi-Supervised Music Tagging Transformer”, Et Al 2021
“Semi-Supervised Music Tagging Transformer”, 2021-11-26 ( ; similar)
“AudioCLIP: Extending CLIP to Image, Text and Audio”, Et Al 2021
“AudioCLIP: Extending CLIP to Image, Text and Audio”, 2021-06-24 ( ; backlinks; similar; bibliography)
“MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, Et Al 2021
“MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, 2021-06-15 ( ; backlinks; similar)
“PriorGrad: Improving Conditional Denoising Diffusion Models With Data-Dependent Adaptive Prior”, Et Al 2021
“PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior”, 2021-06-11 ( ; similar)
“DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, Et Al 2021
“DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, 2021-05-06 ( ; similar)
“Symbolic Music Generation With Diffusion Models”, Et Al 2021
“Symbolic Music Generation with Diffusion Models”, 2021-03-30 ( ; similar)
“Interacting With GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation”, Geerlings & Meroño-2020
“Interacting with GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation”, 2020-10-16 ( ; backlinks; similar)
“HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, Et Al 2020
“HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, 2020-10-12 ( ; similar)
“AI Song Contest: Human-AI Co-Creation in Songwriting”, Et Al 2020
“AI Song Contest: Human-AI Co-Creation in Songwriting”, 2020-10-12 (similar)
“DeepSinger: Singing Voice Synthesis With Data Mined From the Web”, Et Al 2020
“DeepSinger: Singing Voice Synthesis with Data Mined From the Web”, 2020-07-09 ( ; similar)
“Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models”, 2020
“Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models”, 2020-04-30 ( ; similar)
“15.ai”, 15 & 2020
“15.ai”, 2020-03-06 (backlinks; similar; bibliography)
“Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions”, 2020
“Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions”, 2020-02-01 ( ; backlinks; similar)
“Writing the Next American Hit: Using GPT-2 to Explore the Possibility of Creating Successful AI-Generated Song Lyrics Possibility of Creating Successful AI-Generated Song Lyric”, 2020
“GPT-2 Preference Learning for Music Generation”, 2019
“GPT-2 Preference Learning for Music Generation”, 2019-12-16 ( ; backlinks; similar; bibliography)
“Encoding Musical Style With Transformer Autoencoders”, Et Al 2019
“Encoding Musical Style with Transformer Autoencoders”, 2019-12-10 ( ; backlinks; similar)
“GPT-2 Folk Music”, 2019
“GPT-2 Folk Music”, 2019-11-01 ( ; backlinks; similar; bibliography)
“Parallel WaveGAN: A Fast Waveform Generation Model Based on Generative Adversarial Networks With Multi-resolution Spectrogram”, Et Al 2019
“Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram”, 2019-10-25 ( ; similar)
“Low-dimensional Embodied Semantics for Music and Language”, Et Al 2019
“Low-dimensional Embodied Semantics for Music and Language”, 2019-06-20 ( ; similar)
“MuseNet: a Deep Neural Network That Can Generate 4-minute Musical Compositions With 10 Different Instruments, and Can Combine Styles from Country to Mozart to the Beatles”, 2019
“MuseNet: a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles”, 2019-04-25 ( ; backlinks; similar; bibliography)
“Generative Modeling With Sparse Transformers: We’ve Developed the Sparse Transformer, a Deep Neural Network Which Sets New Records at Predicting What Comes next in a Sequence—whether Text, Images, or Sound. It Uses an Algorithmic Improvement of The Attention Mechanism to Extract Patterns from Sequences 30× Longer Than Possible Previously”, 2019
“Generative Modeling with Sparse Transformers: We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30× longer than possible previously”, 2019-04-23 ( ; backlinks; similar)
“Music Transformer: Generating Music With Long-Term Structure”, Et Al 2018
“Music Transformer: Generating Music with Long-Term Structure”, 2018-12-13 ( ; backlinks; similar; bibliography)
“Piano Genie”, Et Al 2018
“Piano Genie”, 2018-10-11 ( ; similar)
“Music Transformer”, Et Al 2018
“Music Transformer”, 2018-09-12 ( ; similar)
“This Time With Feeling: Learning Expressive Musical Performance”, Et Al 2018
“This Time with Feeling: Learning Expressive Musical Performance”, 2018-08-10 ( ; similar)
“The Challenge of Realistic Music Generation: Modelling Raw Audio at Scale”, Et Al 2018
“The challenge of realistic music generation: modelling raw audio at scale”, 2018-06-26 ( ; similar)
“The Sound of Pixels”, Et Al 2018
“The Sound of Pixels”, 2018-04-09 ( ; similar)
“Efficient Neural Audio Synthesis”, Et Al 2018
“Efficient Neural Audio Synthesis”, 2018-02-23 ( ; similar)
“Generating Structured Music through Self-Attention”, Et Al 2018
“Generating Structured Music through Self-Attention”, 2018 ( ; similar; bibliography)
“Towards Deep Modeling of Music Semantics Using EEG Regularizers”, Et Al 2017
“Towards Deep Modeling of Music Semantics using EEG Regularizers”, 2017-12-14 ( ; similar)
“Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, Et Al 2017
“Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, 2017-05-30 ( ; backlinks; similar)
“Neural Audio Synthesis of Musical Notes With WaveNet Autoencoders”, Et Al 2017
“Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders”, 2017-04-05 ( ; similar)
“Tuning Recurrent Neural Networks With Reinforcement Learning”, Et Al 2017
“Tuning Recurrent Neural Networks with Reinforcement Learning”, 2017-02-14 ( ; backlinks; similar)
“SampleRNN: An Unconditional End-to-End Neural Audio Generation Model”, Et Al 2016
“SampleRNN: An Unconditional End-to-End Neural Audio Generation Model”, 2016-12-22 ( ; backlinks; similar)
“WaveNet: A Generative Model for Raw Audio”, Et Al 2016
“WaveNet: A Generative Model for Raw Audio”, 2016-09-12 ( ; similar)
“The Abc Music Standard 2.1: §3.1.1: X:
- Reference Number”, 2011
“The abc music standard 2.1: §3.1.1: X:
- reference number”, 2011-12 (similar)
“Connectionist Music Composition Based on Melodic, Stylistic, and Psychophysical Constraints [Technical Report CU-CS–495–90]”, 1990
“Connectionist Music Composition Based on Melodic, Stylistic, and Psychophysical Constraints [Technical report CU-CS–495–90]”, 1990 ( ; backlinks; similar)
Wikipedia
Miscellaneous
-
2020-04-25-mididataset-50randommidis.mp3
2020-04-25 -
2020-04-18-gpt2-midi-thesessions-97.mp3
2020-04-18 -
2020-04-18-gpt2-midi-thesessions-81.mp3
2020-04-18 -
2020-04-18-gpt2-midi-thesessions-252.mp3
2020-04-18 -
2020-04-18-gpt2-midi-thesessions-160.mp3
2020-04-18 -
2020-04-18-gpt2-midi-thesessions-14.mp3
2020-04-18 -
2020-04-18-gpt2-midi-popmidi-31.mp3
2020-04-18 -
2020-04-18-gpt2-midi-popmidi-30.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-60.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-251.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-18.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-158.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-15.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-124.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-12.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-111.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-10.mp3
2020-04-18 -
2020-04-18-gpt2-midi-bigdataset-04.mp3
2020-04-18 -
2020-04-18-gpt2-midi-abc-07.mp3
2020-04-18 -
2020-04-18-gpt2-117m-midi-samples.txt
2020-04-18 ( ; backlinks) -
2020-04-11-gpt2-midi-hhredt.mp3
2020-04-11 -
2020-03-25-gpt2-midi-dfujnd.mp3
2020-03-25 -
2020-03-24-gpt2-midi-zrzykj.mp3
2020-03-24 -
2020-03-24-gpt2-midi-yiw1jk.mp3
2020-03-24 -
2020-03-24-gpt2-midi-xg14ij.mp3
2020-03-24 -
2020-03-24-gpt2-midi-mknrad.mp3
2020-03-24 -
2020-01-28-gpt2-midi-abc-111803542.mp3
2020-01-28 -
2020-01-25-gpt2-rl-final-100samples.mp3
2020-01-25 -
2020-01-25-gpt2-nospaces-faroerum.mp3
2020-01-25 -
2019-12-22-gpt2-preferencelearning-gwern-abcmusic.patch
2019-12-22 ( ; backlinks) -
2019-12-09-gpt2-abccombined-samples-top_p0.95.txt
2019-12-09 ( ; backlinks) -
2019-12-04-gpt2-abc-alldata.tar.xz
2019-12-04 ( ; backlinks) -
2019-11-14-gwern-gpt2-127512.mp3
2019-11-14 -
2019-11-09-ynbollanbane.txt
2019-11-09 ( ; backlinks) -
2019-11-09-gpt2-nospaces-samples.txt
2019-11-09 ( ; backlinks) -
2019-11-09-gpt2-nospaces-samples-top_p0.99.txt
2019-11-09 ( ; backlinks) -
2019-11-08-gpt2-nospaces-samples.txt
2019-11-08 ( ; backlinks) -
2019-11-04-ashortjourney.mp3
2019-11-04 -
2019-11-03-banksoftheallan.mp3
2019-11-03 -
2019-11-01-theflogging.mp3
2019-11-01 -
2019-10-31-whiskeybeforebreakfast.mp3
2019-10-31 -
2019-10-31-themarine.mp3
2019-10-31 -
2019-10-30-thelonelyfireside.mp3
2019-10-30 -
2019-10-30-theatlanticroar.mp3
2019-10-30 -
2019-10-29-theloonandhisquine.mp3
2019-10-29 -
2019-10-23-gwern-gpt2-folkrnn-irishmusic-samples.txt
2019-10-23 ( ; backlinks) -
https://blog.metabrainz.org/2022/02/16/acousticbrainz-making-a-hard-decision-to-end-the-project/
-
https://nitter.moomoo.me/vatsal_aggarwal/status/1612536555708743680
-
https://pitchfork.com/features/article/ai-music-experimentation-or-automation/
Link Bibliography
-
https://raw.githubusercontent.com/flavioschneider/master-thesis/main/audio_diffusion_thesis.pdf
: “Archisound: Audio Generation With Diffusion”, Flavio Schneider: -
https://arxiv.org/abs/2301.02111#microsoft
: “VALL-E: Neural Codec Language Models Are Zero-Shot Text to Speech Synthesizers”, : -
https://arxiv.org/abs/2210.13438#facebook
: “High Fidelity Neural Audio Compression”, Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi: -
https://arxiv.org/abs/2210.07508#sony
: “Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji: -
2022-shank.pdf
: “AI Composer Bias: Listeners like Music Less When They Think It Was Composed by an AI”, Daniel B. Shank, Courtney Stefanik, Cassidy Stuhlsatz, Kaelyn Kacirek, Amy M. Belfi: -
https://arxiv.org/abs/2206.04658#nvidia
: “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon: -
https://arxiv.org/abs/2202.09729
: “It’s Raw! Audio Generation With State-Space Models”, Karan Goel, Albert Gu, Chris Donahue, Christopher Ré: -
https://arxiv.org/abs/2202.07765#deepmind
: “General-purpose, Long-context Autoregressive Modeling With Perceiver AR”, : -
https://arxiv.org/abs/2106.13043
: “AudioCLIP: Extending CLIP to Image, Text and Audio”, Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel: -
https://fifteen.ai/
: “15.ai”, 15, Pony Preservation Project: -
gpt-2-preference-learning
: “GPT-2 Preference Learning for Music Generation”, Gwern Branwen: -
gpt-2-music
: “GPT-2 Folk Music”, Gwern Branwen, Shawn Presser: -
https://openai.com/blog/musenet/
: “MuseNet: a Deep Neural Network That Can Generate 4-minute Musical Compositions With 10 Different Instruments, and Can Combine Styles from Country to Mozart to the Beatles”, Christine Payne: -
https://magenta.tensorflow.org/music-transformer
: “Music Transformer: Generating Music With Long-Term Structure”, Cheng-Zhi Anna Huang, Ian Simon, Monica Dinculescu: -
2018-huang.pdf
: “Generating Structured Music through Self-Attention”, :