小米发布 MiMo-V2.5-TTS 系列语音模型
What makes the MiMo-V2.5-TTS Series different?
小米 MiMo 发布 MiMo-V2.5-TTS 系列语音模型,包含内置高质量音色的 MiMo-V2.5-TTS、用自然语言描述生成全新音色的 VoiceDesign,以及只需几秒参考音频即可克隆音色的 VoiceClone。三款模型共享三项能力:可靠遵循情绪、语气、节奏与风格等指令,支持在文本中插入音频标签精确控制情绪与状态,以及仅凭纯文本理解停顿、情绪转折和角色线索。VoiceClone 无需额外训练或微调,并能保留呼吸、节奏和停顿等个人细节。
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What makes the MiMo-V2.5-TTS Series different? It’s not just about generating speech. It’s about making voice controllable, expressive, and usable in real creative workflows. Across the series, the models share three core strengths: 🔹 Strong instruction following — from a single prompt to a full director’s note, they can reliably follow guidance on emotion, tone, pace, delivery, and style 🔹 Flexible audio tag control — inline audio tags let you precisely control emotion, state, and style at specific points in the text, from simple cues to complex multi-tag combinations within the same passage 🔹 Rich text understanding — even with plain text only, the models can naturally pick up rhythm, pauses, emotional shifts, and character cues
On top of that shared foundation, each model is built for a different use case: MiMo-V2.5-TTS High-quality built-in voices, professionally tuned for natural pronunciation and expressive delivery — ready to use out of the box. MiMo-V2.5-TTS-VoiceDesign Generate entirely new voices from natural-language descriptions — no reference audio needed. From age and accent to texture, temperament, and speaking style, the model can turn rich descriptions into distinctive voices, including character voices that don’t exist in any preset library. MiMo-V2.5-TTS-VoiceClone With just a few seconds of reference audio, the model can clone a target voice with high fidelity, with no extra training or fine-tuning. It preserves not only the speaker’s identity, but also personal details like breath, rhythm, and pauses — while still supporting the full control stack of the series. Whether you need a ready-made voice, a brand-new one, or your own cloned one, MiMo-V2.5-TTS gives you the same thing underneath: voice that can actually follow direction. https://t.co/y5KOMI2GE5