Ant releases an open audio model that can discuss a recording and answer back in speech
Summary
Ant 发布了开源音频模型家族 Ming-3.0 Audio,采用 MIT 许可并开放权重与代码,支持语音与文本混合输入并可输出文字或语音回复,提供 126B 总参数的 Flash 和 9.3B 总参数的 tiny 两个 MoE 检查点。
Similar Articles
inclusionAI/Ming-3.0-audio-flash · Hugging Face
inclusionAI 发布 Ming-3.0-audio-flash,一个 126B 总参数(每步激活 6.5B)的原生音频-语言 MoE 模型,支持中英文语音识别、语音问答、长音频理解、音频推理以及可选的语音合成输出,采用 MIT 许可证。
@AdinaYakup: Ant Group just dropped its new speech and audio models! https://huggingface.co/collections/inclusionAI/ming-30…
蚂蚁集团(inclusionAI/Ant Ling)发布 Ming-3.0 系列语音与音频模型,涵盖 TTS、ASR 及音频模型,已在 Hugging Face 和 ModelScope 上线,参数规模从 0.5B 到 128B 不等。
Qwen-Audio-3.1-ASR Technical Report
Qwen-Audio-3.1-ASR 技术报告介绍了一系列音频语言模型,在语音识别、说话人分离转录和通用音频理解方面较 Qwen-Audio-3.0-ASR 有显著提升,支持 30 种语言和 16 种汉语方言,并提供流式与非流式等多种部署变体。
@Ryrenz: So smooth—Ming-3.0-tts can clone a voice directly from a reference audio clip, and you can even tell it how to speak with a single sentence. It was just open-sourced yesterday by Ant Group’s inclusionAI. On Artificial Analysis’s October speech synthesis leaderboard, Ming-3.0-tts’s…
Ant Group’s inclusionAI has open-sourced the Ming-3.0-tts speech synthesis model, which ranked first overall in pronunciation robustness with a score of 93.2% on Artificial Analysis’s October leaderboard and first among open-source models for voice controllability. It supports voice cloning, control through natural-language instructions, 14 paralinguistic tags, and speech synthesis across multiple dialects and languages, including Sichuanese and Cantonese.
@Chenzeze777: Found an open-source voice synthesis model that I just had to share. 2 billion parameters, trained on 2 million hours of data, supports 30 languages plus 9 Chinese dialects—just input text and it synthesizes speech, including Sichuanese, Cantonese, and Northeastern dialects. The craziest part? Use natural language to describe a voice—like "young female, gentle and sweet"—and it creates a brand-new voice from scratch without needing any reference audio.
Introducing an open-source voice synthesis model with 2 billion parameters and 2 million hours of training. It supports 30 languages and 9 Chinese dialects, allows voice description via natural language, can clone voices from a 3-second recording, delivers 48kHz studio-quality audio, and is free for commercial use under the Apache-2.0 license.