ProjCRys/Realtime-TTS-AI-Assisstant
It's response time is based on how fast an LLM can reply and I used a low quality TTS program to run it. It's fast but it depends on the quality of the model. If you run on CPU, then the speed of it replying depends on the models ran on CPU. I'm going to experiment on other Open sourced TTS and voice cloning like tortoiseTTS and BarkAI.
This tool transforms your text input into spoken responses in real-time, making interactions hands-free and dynamic. You type your questions or statements into a terminal, and the assistant speaks back to you using AI. It's designed for anyone needing an immediate, voice-based conversational interface, such as for accessibility needs, interactive learning, or quick information retrieval.
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Use this if you need a real-time, spoken response from an AI assistant, primarily interacting through text input in a command-line interface.
Not ideal if you require high-fidelity, emotionally nuanced voice output or a graphical user interface for interaction.
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Python
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Last pushed
Oct 27, 2023
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