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Adding automated voice acting to games using Generative Models
- The article discusses using AI to automate voice acting in games by leveraging generative models such as Gemini and text-to-speech services like ElevenLabs and OpenAI's gpt-4o-mini-tts.
- The author details their process of implementing AI-driven voice acting, starting with extracting text from the game's UI and using AI models to generate voice lines for characters.
- They share the source code on GitHub for reference and explain how they incorporated unique personas for each character to enhance the believability of the interactions.
- The article mentions the need for a trigger mechanism to automate the voice acting process during gameplay seamlessly.
- Despite the success in automating voice acting, there are concerns about latency, integration with modding tools, support for multiple languages, and overall costs.
- The author calculates the cost of vision and persona generation per screenshot using Gemini 2.5 Flash, providing insights into the affordability of this approach for a game with extensive dialogues.
- The project showcases the potential of AI in revolutionizing voice acting in games but highlights areas for improvement such as reducing latency and enhancing cost-effectiveness.
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