Implementation of tacotron, a text to speech deep learning model.

Paper can be found here: tacotron.

1. Dataset can be retrieved from here. When extracted, file will contain LJSpeech-1.1 as a folder. Move that folder into the root directory beside where train.py is.

2. Run preprocess.py to preprocess the audio files. Audio files will be generated in a directory called training for the default parameters.

3. After running the preprocessing steps, we can start training the model.

python train.py

todo.

TODO:

• train the network to generate a pretrained model

Reimplementation of this for education purposes.

Got lots of reference from: https://github.com/keithito/tacotron Really grateful and appreciate the work of Keith Ito.