Text to Speech Notebook Guide

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This README provides instructions on how to use the Jupyter notebook for converting text into speech using PyTorch, torchaudio, and other libraries.

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Prerequisites

Before you begin, ensure you have the following installed:

• Python =< 3.8
• Jupyter Notebook
• PyTorch
• torchaudio
• IPython
• matplotlib

You can install these packages using pip if you don't have them already.

Visualization and Audio Playback

The notebook includes matplotlib for visualizing audio waveforms and IPython for audio playback within the Jupyter notebook environment.

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Support

If you encounter any issues or have questions, please file an issue in the repository or contact the maintainer.

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Contribution

Contributions to improve the notebook are welcome. Please follow the standard procedure of forking the repository and submitting a pull request.

Setup

First, clone the repository or download the Jupyter notebook to your local machine.

cd TextToSpeechPytorch.ipynb

Install Dependencies:

pip or pip3 install deep_phonemizer Jupyter Notebook torch torchaudio matplotlib IPython