ChatTTS: Best Quality Open Source Text-to-Speech Model | Tutorial + Ollama Setup
In this video, the focus is on ChatTTS, an open-source text-to-speech model that offers high-quality speech synthesis. The tutorial provides a step-by-step guide on how to install and set up ChatTTS on a local machine, and demonstrates its capabilities, including generating speech with emotional elements like laughter and pauses.
The installation process begins with cloning the ChatTTS repository from GitHub and installing the required dependencies. The video walks through running a basic example script to generate speech from text input. It also explores advanced usage by adding emotional elements to the speech synthesis, such as laughter and pauses, to make the output more natural and expressive.
Additionally, the video integrates ChatTTS with Ollama, a local large language model API, to enhance the text-to-speech process. The tutorial demonstrates how to set up Ollama, generate control prompts, and use the model to add emotions to the synthesized speech. Various examples are tested to showcase the model’s versatility and quality.
The video concludes by discussing the strengths and limitations of ChatTTS, highlighting its high-quality output but noting its computational intensity, which makes real-time speech-to-speech applications challenging. The tutorial encourages viewers to experiment with the model and provides links to the GitHub repository and additional resources for further exploration.