InclusionAI Releases Ming-3.0-TTS-0.5B Voice Generation Model
InclusionAI, backed by Ant Group, has released Ming-3.0-TTS-0.5B, an open-source text-to-speech model featuring voice cloning, voice design, multi-language support, and emotion control. The model is part of a broader audio release that includes audio understanding and processing models. This open-source release provides developers and local AI enthusiasts with advanced audio generation capabilities, including fine-grained control over speaking styles and zero-shot voice cloning. It expands the toolkit available for building localized, multi-lingual conversational applications. Ming-3.0-TTS-0.5B supports 7 languages, voice design from natural language descriptions, free-form emotion and style control, and dialect options. It can be served locally or via frameworks like vLLM-Omni using compatible APIs.
## BACKGROUND
Text-to-speech (TTS) models use deep learning to convert written text into spoken audio, with modern models capable of mimicking specific human voices from short audio clips. Zero-shot voice cloning allows a model to replicate an unseen voice instantly without requiring extensive retraining.