Skip to content

Latest commit

 

History

History
23 lines (11 loc) · 374 Bytes

README.md

File metadata and controls

23 lines (11 loc) · 374 Bytes

TacotronS

Tacotron with stepwise monotonic attention

Step 1: download and prepare raw dataset

python ljs.py

Step 2: prepare tf dataset

python data.py <wav_dir>

Step 3: train tacotron

For the first 50k training steps, use a reduction factor of 2 to learn a stable attention:

TRAINING_STEPS=50000 RR=2 python train.py

After that:

python train.py