A collection of configuration files and training scripts for developing Text-to-Speech models across various public speech datasets. It includes specific parameters for audio preprocessing, model architectures, and training schedules tailored to diverse audio-text corpora.
Use Cases
- Train a neural speech synthesizer by applying the provided configuration files to compatible speech datasets
- Optimize model performance by adjusting the learning rate and batch size parameters defined in the training_params section
- Implement data normalization routines for custom audio datasets using the logic defined in the audio_config parameters
Strengths
- Includes configuration files for multiple open-source speech datasets
- Contains pre-defined hyperparameters for various TTS model architectures
- Provides standardized preprocessing scripts for audio-text alignment