Nuance Labs 推出 Emma：基于 Nuplex 1.0 全双工模型的双向实时 AI 视频人设
Nuance Labs 搞了个能边听边说的视频角色 Emma，回复时机 89% 对齐真人。有意思的是她的表情来自一位真实演员的录制数据，眨眼、眼神这些小动作都是一个人的。做数字人或虚拟主播的可以看看思路。
Nuance Labs 发布 AI 视频人设 Emma，其回复时机与真人说话者的匹配率达到 89%。Emma 底层由全双工视听模型 Nuplex 1.0 驱动，能在用户仍在说话时同步听与说，实现边听边答的实时对话。
Emma 的面部表情与声音来自一位真实演员，团队录制了她真实聆听、反应和说话的方式，再喂给 Nuplex 模型训练，使整套动作属于同一角色。具体细节包括：用来强调的长时间眨眼、眯眼、目光飘走又回来的眼神、情绪激动时的小幅度跳动，以及跟随句子的头部动作。
这类产品的关键差异点在于对话时机而非画面逼真度——全双工能力让 Emma 在用户说话中途就能做出反应，接近真人交流节奏。对做虚拟主播、客服数字人、陪伴类产品的团队来说，表情细节与时机数据的结合是目前可参考的方向。
Once a talking face can hold a live conversation, timing matters more than how real it looks.
Nuance Labs launched Emma, an AI video persona whose reply timing matched real human speakers 89% of the time.
She runs on Nuplex 1.0, a full-duplex audiovisual model that listens and speaks at once, so her face reacts while you’re still talking.
A very interesting part is that Emma’s face and voice come from a real actress who worked with Nuance Labs to record how she actually listens, reacts and speaks, then fed into their Nuplex model.
The result is a set of mannerisms that belong to one character.
A long blink for emphasis. A squint. Eyes that drift away and come back. A small jump when she can’t hold back how strongly she feels. A head that moves with the sentence.
This report is categorized under AITOP's "Products" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Nuance Labs, Nuplex 1.0, 数字人, 全双工.
Source attribution: curated from rohanpaul_ai (@rohanpaul_ai). Cross-source corroboration: 2 independent sources have covered this development (including elvis), confirming industry-wide signal strength.
- elvis18:43原文
