Tutorial

A Closer Look into TTS Models

6 steps

In this quest, you will take a deeper dive into the Coqui TTS library, building on the foundations from Quest 1. By setting up a full TTS pipeline in Python, you’ll learn to configure key parameters like models, speakers, and languages, enabling you to produce high-quality, natural-sounding speech tailored to specific needs. You’ll also get hands-on with saving speech outputs as WAV files, exploring the diversity of Coqui’s TTS capabilities. This quest is designed to enhance your practical understanding of how to generate dynamic speech outputs while encouraging experimentation with different configurations.

Before starting this quest, make sure you have completed Quest 1, as it covers the initial setup and environment configuration required for the steps here.

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Learning Outcomes

  • Set up a complete TTS pipeline in Python using Coqui TTS.
  • Load different TTS models, select compatible voices, and configure localizations.
  • Generate speech from text with a variety of voices and languages.
  • Save speech outputs as WAV files for further analysis or use.

Tutorial Steps

Total steps: 6

  • Step 1: Environment Setup
  • Step 2: Viewing and Selecting Models, Speakers and Languages
  • Step 3: Navigating the Main File
  • Step 4: Creating a TTS Script
  • Step 5: Extending Your Knowledge
  • Step 6: Conclusion
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