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Oct 20
ModelsBuildersMulti-sourceSelected16:43
Ant Group open-sources 5 Ming-3.0 speech models

The three links are composable and self-deployable, so a team can build a full listen-understand-speak voice agent without paying for proprietary APIs. Deployers in multilingual markets gain a working path for dialect-heavy ASR and instruction-driven TTS in one stack. Compared with closed services like OpenAI's audio APIs, this stack keeps weights local and lets you fine-tune each stage separately.

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AIGCLINK@aigclinkSource
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ModelsBuildersMulti-sourceSelected10:07
Ant Group's Ming-3.0-tts Tops Open Weights TTS Leaderboards

A 0.5B model beating much larger commercial systems on pronunciation suggests small, MIT-licensed TTS can now be self-hosted for production voice applications at minimal compute cost. Developers building voice agents or dubbing pipelines in the region can download both variants from Hugging Face and run them locally, avoiding per-character API fees from providers like ElevenLabs. The main trade-off is that closed models still lead overall, with Ming-3.0-tts only #13 on Controlled Voice.

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Official accountArtificial Analysis@ArtificialAnlysSource

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