“第四十三章 AI谱曲”版本间的差异

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* RNN Performer [https://magenta.tensorflow.org/performance-rnn]
 
* RNN Performer [https://magenta.tensorflow.org/performance-rnn]
 
* Perceiver AR [https://magenta.tensorflow.org/perceiver-ar]
 
* Perceiver AR [https://magenta.tensorflow.org/perceiver-ar]
* Paint with music [https://magenta.tensorflow.org/paint-with-music][https://artsandculture.google.com/experiment/paint-with-music/YAGuJyDB-XbbWg]
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* Paint with music [https://magenta.tensorflow.org/paint-with-music][https://artsandculture.google.com/experiment/paint-with-music/YAGuJyDB-XbbWg *]
 
* Listen to transformer [https://magenta.github.io/listen-to-transformer/#a1_11806.mid]
 
* Listen to transformer [https://magenta.github.io/listen-to-transformer/#a1_11806.mid]
 
* Sketchpad [https://magic-sketchpad.glitch.me/]
 
* Sketchpad [https://magic-sketchpad.glitch.me/]

2023年8月13日 (日) 02:39的版本

教学资料


扩展阅读

  • AI100问:计算机如何谱曲?[2]
  • 维基百科:计算机谱曲 [3][4]
  • 维基百科:ILLIAC suite [5]
  • 维基百科:Lejaren Hiller [6]
  • DeepMind Perceiver AR [7]
  • Magenta [8]


视频展示

  • Perceiver AR [9]
  • DDSP-VST, 将任何声音转换成音乐,模拟变化的基音和响度 [10]

演示链接

  • RNN Performer [11]
  • Perceiver AR [12]
  • Paint with music [13]*
  • Listen to transformer [14]
  • Sketchpad [15]
  • Other Magenta demos [16]


开发者资源


高级读者

  • S. A. Hedges. 1978. Dice music in the eighteenth century. Music Lett. 59, 2 (1978), 180--187. [20]
  • Herremans D, Chuan C H, Chew E. A functional taxonomy of music generation systems[J]. ACM Computing Surveys (CSUR), 2017, 50(5): 1-30. [21]
  • A. Hiller Jr, L. and L. M. Isaacson. 1957. Musical composition with a high speed digital computer. In Audio Engineering Society Convention 9. Audio Engineering Society. [22]
  • Performance RNN: Generating Music with Expressive Timing and Dynamics [23]
  • Mao H H, Shin T, Cottrell G. DeepJ: Style-specific music generation[C]//2018 IEEE 12th International Conference on Semantic Computing (ICSC). IEEE, 2018: 377-382. [24] [25]
  • Fernández J D, Vico F. AI methods in algorithmic composition: A comprehensive survey[J]. Journal of Artificial Intelligence Research, 2013, 48: 513-582. [26]
  • Hawthorne C, Jaegle A, Cangea C, et al. General-purpose, long-context autoregressive modeling with Perceiver AR[J]. arXiv preprint arXiv:2202.07765, 2022. [27]