Ming-3.0 is here: five open-weight audio models for controllable speech, long-recording analysis, and context-aware transcription.
🤖https://modelscope.cn/collections/inclusionAI/Ming-30
🏆 Voice cloning at the top of the open-weight ranking: Ming-3.0-tts-0.5B achieves open-weight SOTA on Artificial Analysis Controlled Voice with a 1069 Elo rating, using eight English reference voices.
🎙️ Design a voice, then direct the performance: The TTS models support voice design from descriptions or references, multilingual synthesis, and controllable delivery for podcasts, characters, and product experiences.
🧠 Turn long recordings into answers: Ming-3.0-audio-flash transcribes, summarizes, analyzes, and follows up on long audio while grounding answers in the original recording. It reaches 99.40 on BigBenchAudio S2T in the authors’ comparison.
📝 Transcribe with business context: Ming-3.0-asr-tiny accepts hotwords, domain terminology, and dialogue history to improve recognition for product names, dialects, and specialized conversations.
⚙️ Choose the fit: Flash models prioritize broader capability, while Tiny and 0.5B options target lower-cost, efficient deployment.