WaveNet: A Generative Model for Raw Audio

This is the Chainer implementation of WaveNet

この記事で実装したコードです。

まだ完成していませんが音声の生成はできます。

Todo:

• Generating audio
• Local conditioning
• Global conditioning
• Training on CSTR VCTK Corpus

Training the network

Requirements

• Chainer 2
• scipy.io.wavfile

Preprocessing

Donwsample your .wav to 16KHz / 8KHz to speed up convergence.

• Aaudacity

Create data directory

Add all .wav files to /train_audio/wav

Hyperparameters

You can edit the hyperparameters of the network in model.py before running train.py, or edit /params/params.json after training starts.

Training

run train.py

Generating audio

run generate.py

Passing --use_faster_wavenet will generate audio faster than original WaveNet.

Listen to a sample generated by WaveNet

🎶 music

Implementation