Skip to content

Latest commit

 

History

History
21 lines (11 loc) · 856 Bytes

README.md

File metadata and controls

21 lines (11 loc) · 856 Bytes

Classical Music Composition with Recurrent Neural Networks.

This repo is the code of an ETH project from Luca Naterop and Sandro Giacomuzzi which aims to synthesize Audio with LSTMs.

/tf-rnn: The main code of this project

/csv-rnn: Torch LSTM implementation in

/char-rnn: The code for a character language model in torch which was trained with Darwin and the Koran.

/char-rnn-results: contains sample text of 100'000 characters generated from those networks as well as the corresponding checkpoints that allows you to generate more text.

/Latest_AudioFeature: MATLAB scripts to generate spectrogram csv files from Audio and vice versa

Links

Paper (Work in Progress): https://www.overleaf.com/read/cnkdtvbtfsyd

Research Plan: https://www.overleaf.com/3808219jvshrb

Character language models: https://github.com/karpathy/char-rnn