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Model Assignments
Feynman Liang, BachBot: http://bachbot.com
FolkRNN: https://folkrnn.org/, https://github.com/IraKorshunova/folk-rnn
Wavenet (DeepMind version): https://deepmind.com/blog/wavenet-generative-model-raw-audio/
Audio texture synthesis and style transfer: https://dmitryulyanov.github.io/audio-texture-synthesis-and-style-transfer/
SampleRNN: https://github.com/soroushmehr/sampleRNN_ICLR2017
Tacotron: https://google.github.io/tacotron/
Drums RNN: Applies language modeling to drum track generation using an LSTM.
Image Stylization: A "Multistyle Pastiche Generator" that generates artistics representations of photographs. non-music
Improv RNN: Generates melodies a la Melody RNN, but conditions the melodies on an underlying chord progression.
Melody RNN: Applies language modeling to melody generation using an LSTM.
Music VAE: A hierarchical recurrent variational autoencoder for music.
NSynth: "Neural Audio Synthesis" as described in NSynth: Neural Audio Synthesis with WaveNet Autoencoders.
Onsets and Frames: Automatic piano music transcription model as described in Onsets and Frames: Dual-Objective Piano Transcription
Performance RNN: Applies language modeling to polyphonic music using a combination of note on/off, timeshift, and velocity change events.
Pianoroll RNN-NADE: Applies language modeling to polyphonic music generation using an LSTM combined with a NADE, an architecture called an RNN-NADE. Based on the architecture described in Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription.
Polyphony RNN: Applies language modeling to polyphonic music generation using an LSTM. Based on the BachBot architecture described in Automatic Stylistic Composition of Bach Choralies with Deep LSTM.
RL Tuner: Takes an LSTM that has been trained to predict the next note in a monophonic melody and enhances it using reinforcement learning (RL).
Sketch RNN: A recurrent neural network model for generating sketches. non-music