Getting-Started-with-Speech-Synthesis

Overview

Speech synthesis, or Text-to-Speech (TTS), is transforming how we interact with technology. This repository is part of a campaign designed to guide you through the principles of TTS, explore advanced models, and create an interactive application using the Coqui TTS library. By completing the quests, you'll gain hands-on experience and practical knowledge of TTS. TTS allows computers to "speak".

Repository Structure

The repository is organized into three main quests, each building on the previous one:

Quest 1: Exploring TTS Concepts

Understand the foundational concepts of TTS, including models, speakers, and languages.

Scripts:

languages_1.py: Explore available language options. models_1.py: Familiarize yourself with TTS models. speakers_1.py: Experiment with speaker configurations. tts-app_1.py: Test a basic TTS application. tts-script_1.py: Generate speech from text using the basics.

Quest 2: Deep Dive into TTS Models

Learn to customize and save TTS outputs while refining configurations.

Scripts:

languages_2.py models_2.py speakers_2.py tts-app_2.py tts-script_2.py

Deliverables: Save generated audio outputs in .wav format.

Quest 3: Building a GenAI TTS App

Combine knowledge from earlier quests to build a functional and interactive TTS application with Gradio.

Scripts:

languages_3.py models_3.py speakers_3.py tts-app_3.py tts-script_3.py

Features:

Text input, voice selection, waveform visualization, and real-time audio playback.

Learning Outcomes

Understanding TTS principles and real-world applications. Generating natural-sounding speech with the Coqui TTS library. Customizing speakers, languages, and configurations. Developing an interactive TTS application using Gradio.

Prerequisites

Python 3.7 or higher. Basic understanding of programming concepts. A virtual environment setup (recommended).

Installation

Clone the Repository:

bash: git clone https://github.com/your-username/speech-synthesis-campaign.git

cd speech-synthesis-campaign

Set Up a Virtual Environment:

bash: python3 -m venv .venv source .venv/bin/activate

On Windows: .venv\Scripts\activate

Install Dependencies:

bash pip install -r requirements.txt

Usage

Run a TTS Script

bash python tts-script_<quest_number>.py Replace <quest_number> with 1, 2, or 3 to match the desired quest.

Modify Parameters:

Adjust text, speaker, and language configurations in the scripts to explore features.

Generate and Save Audio Outputs:

Outputs will be saved in the output/ directory.

Run the Gradio App:

For Quest 3, launch the interactive application:

bash: python tts-app_3.py

Features

Interactive Gradio Application (Quest 3)

Input Options:

Text entry for speech synthesis.

Voice and language selection.

Outputs:

Audio playback and download.

Visualized waveform analysis.

Advanced Features:

Real-time feedback.

Data insights (e.g., word count, duration).

Customizations

Model Selection: Use models.py to select models.

Speaker Configuration: Customize voices in speakers.py.

Language Customization: Choose accents and pronunciations via languages.py.

Project Roadmap

Quest 1: Foundations of TTS

Learn the basics of text analysis and vocoders.

Quest 2: Advanced TTS Models

Refine speaker and language configurations.

Quest 3: Interactive GenAI TTS

Build and deploy a full-fledged TTS application.

Contributing

Contributions are welcome! Fork this repository, make changes, and submit a pull request. Feel free to report issues or suggest enhancements.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

This campaign leverages the Coqui TTS library and Gradio for application development. Thanks to the StackUp platform for providing structured learning resources.

Happy coding! 😊🚀

@ Stackup