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Xiaomi Unveils MiMo-V2-TTS, Its Self-Developed AI Model for Dialect and Emotion Voice Synthesis
Xiaomi has officially launched its self-developed large-scale speech synthesis model, MiMo-V2-TTS, representing a major advancement in highly controllable and expressive voice generation. Built on Xiaomi's proprietary Audio Tokenizer and a multi-codebook speech-text joint modeling framework, the model leverages extensive pre-training on hundreds of millions of hours of speech data to achieve precise adjustments from broad style to nuanced emotional detail. Unlike conventional TTS systems, MiMo-V2-TTS can execute tone shifts and emotional variations within a single sentence, closely mimicking the natural rhythm of human speech and supporting song synthesis with accurate pitch and rhythm. Technically, Xiaomi incorporated multi-dimensional reinforcement learning to balance the stability and expressiveness of the output. The model intelligently recognizes textual cues such as punctuation, intonation markers, and emphasis indicators, translating them into appropriate vocal expressions without requiring additional manual annotation. Furthermore, the model exhibits strong cross-regional adaptability, supporting multiple dialects including Northeastern Mandarin, Sichuanese, Henanese, Cantonese, and Taiwanese accents, and is capable of character-driven vocal performances.
As a key milestone in Xiaomi's voice technology roadmap, MiMo-V2-TTS will further expand multilingual support and integrate deeply with the multimodal understanding capabilities of MiMo-V2-Omni. This progression from standalone speech synthesis to coordinated multimodal perception and expression signals a shift in AI agents from basic semantic interaction toward more personable and emotionally resonant human-computer interaction, significantly enhancing user experience in applications like smart cabins and smart homes.
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Xiaomi has officially launched its self-developed large-scale speech synthesis model, MiMo-V2-TTS, representing a major advancement in highly controllable and expressive voice generation. Built on Xiaomi's proprietary Audio Tokenizer and a multi-codebook speech-text joint modeling framework, the model leverages extensive pre-training on hundreds of millions of hours of speech data to achieve precise adjustments from broad style to nuanced emotional detail. Unlike conventional TTS systems, MiMo-V2-TTS can execute tone shifts and emotional variations within a single sentence, closely mimicking the natural rhythm of human speech and supporting song synthesis with accurate pitch and rhythm. Technically, Xiaomi incorporated multi-dimensional reinforcement learning to balance the stability and expressiveness of the output. The model intelligently recognizes textual cues such as punctuation, intonation markers, and emphasis indicators, translating them into appropriate vocal expressions without requiring additional manual annotation. Furthermore, the model exhibits strong cross-regional adaptability, supporting multiple dialects including Northeastern Mandarin, Sichuanese, Henanese, Cantonese, and Taiwanese accents, and is capable of character-driven vocal performances.
As a key milestone in Xiaomi's voice technology roadmap, MiMo-V2-TTS will further expand multilingual support and integrate deeply with the multimodal understanding capabilities of MiMo-V2-Omni. This progression from standalone speech synthesis to coordinated multimodal perception and expression signals a shift in AI agents from basic semantic interaction toward more personable and emotionally resonant human-computer interaction, significantly enhancing user experience in applications like smart cabins and smart homes.
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