The Neural Aesthetic @ ITP-NYU, Fall 2018
Lecture 9: Music information retrieval, BIGGAN & GLOW [11/13/2018]
[Slides]
- Flow and reversibility in generative models (5:22)
- GLOW and face attribute manipulation (9:15)
- GLOW tutorial (16:50)
- Interpolations and random latent vectors (30:46)
- BigGAN tutorial with pre-trained model (39:36)
- Tasks in music information retrieval (MIR) (50:36)
- Representations of music and audio (57:42)
- Review of AudioClassifier & Audio t-SNE (1:06:55)
- History of electronic & computer music (1:11:51)
- Physical models and programmable audio (1:23:35)
- GRUV and RNN-based audio modeling (1:29:05)
- WaveNets, SampleRNN, Magenta NSynth (1:32:50)
- Modeling symbolic music (1:45:54)
- Content-based recommendation & iPod of the future (1:55:15)