MultiSpeech

MultiSpeech

This is a PyTorch implementation of MultiSpeech: Multi-Speaker Text to Speech with Transformer

Train on your data

In order to train the model on your data, follow the steps below

1. data preprocessing

• prepare your data and make sure the data is formatted in an PSV format as below without the header

speaker_id,audio_path,text,duration
0|file/to/file.wav|the text in that file|3.2 

The speaker id should be integer and starts from 0

• make sure the audios are MONO if not make the proper conversion to meet this condition

2. Setup development environment

• create enviroment

python -m venv env

• activate the enviroment

source env/bin/activate

• install the required dependencies

pip install -r requirements.txt

3. Training

• update the config file if needed
• train the model

  python train.py --train_path train_data.txt --test_path test_data.txt --checkpoint_dir outdir --epoch 100 --batch_size 64