Tacotron

An implementation of Tacotron described in the paper using pytorch. Tacotron: Towards End-to-End Speech Synthesis

Published in INTERSPEECH 2017

Forked from dongheehand/Tacotron-PyTorch

Requirement

python 3.10

pip install -r requirements.txt

Datasets

• LJ-Speech (English)

Model training

Train using LJ-Speech dataset

python train.py

Tensorboard

• You can see the train loss graph.
• Furthermore, you can listen to generated wav files during training.

Loss	wav_files

tensorboard --logdir=runs

Generate TTS wav files

Generate TTS wav files

python eval.py --checkpoint_path ./models/checkpoint_120000.pth.tar

Experimental Results

Train loss