Original repo: github.com/coqui-ai/TTS
My Repo (with dockerfile): github.com/datmt/Python-TTS
Welcome to my video tutorial on how to create a TTS conversation using Coqui TTS with Docker on your local machine! In this video, I'll walk you through the steps needed to set up a free repository based on the Coqui TTS repository on GitHub.
First, we'll start by cloning the Coqui TTS repository to our local machine. Then, we'll use Docker to create a container for the TTS system. Once the container is created, we can start the TTS system and use it to generate speech.
We'll also go over how to fine-tune the TTS model on your own dataset using the provided scripts in the Coqui TTS repository. Fine-tuning is a crucial step in creating a TTS system that's tailored to your specific needs and can produce high-quality speech.
Throughout the video, I'll provide clear instructions and explain each step in detail so that even beginners can follow along. By the end of the video, you'll have a fully functional TTS system that you can use to generate speech and engage in conversations.
If you're interested in natural language processing or speech synthesis, this video is perfect for you. Coqui TTS is an open-source project, which means that you can modify and improve the system according to your needs. This is a great opportunity to contribute to the community and learn more about TTS technology.
I hope you find this tutorial helpful, and if you have any questions or feedback, please feel free to leave a comment below. Thanks for watching, and don't forget to like and subscribe for more tutorials like this!
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