ElevenLabs 发布 Scribe v3 与 Scribe v3 Live 语音识别模型
ElevenLabs Scribe v3 Live uses conversational context to stop voice agents from cutting off callers mid-sentence
做电话语音智能体的可以看看，ElevenLabs 新版 Scribe v3 Live 会结合上下文判断用户是否说完，能减少打断式抢话。准确率在 Artificial Analysis 测试里略胜 OpenAI 和 Google，但速度和价格不如 Microsoft 和 xAI，需要按场景取舍。
ElevenLabs 发布了 Scribe v3 和 Scribe v3 Live 两款语音识别模型，主打在背景噪音和多人同时说话的场景下保持准确转写。根据 Artificial Analysis 的基准测试，Scribe v3 的准确率小幅超过了 OpenAI、Google 和 Microsoft 的同类模型。
Scribe v3 Live 针对实时语音智能体场景做了专门优化，它会利用对话上下文来判断说话者是否已经说完，避免智能体在来电者还在讲话时就打断对方，这是电话客服类应用中常见的痛点。
不过这套精度是有代价的：Microsoft 和 xAI 的模型运行速度快数倍，价格大约只有一半。对延迟敏感、对成本敏感的团队需要在准确率与速度、价格之间权衡。
ElevenLabs Scribe v3 Live uses conversational context to stop voice agents from cutting off callers mid-sentence
ElevenLabs has released Scribe v3 and Scribe v3 Live, two new speech recognition models designed to transcribe accurately through background noise and crosstalk. Benchmarks from Artificial Analysis confirm that Scribe v3 narrowly beats competitors like OpenAI, Google, and Microsoft on accuracy. That precision comes at a cost, though. Rivals like Microsoft and xAI run many times faster and charge roughly half the price. The article ElevenLabs Scribe v3 Live uses conversational context to stop voice agents from cutting off callers mid-sentence appeared first on The Decoder .
本条情报归属 AITOP「模型」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」「中美大模型技术代差与商业化对照」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：ElevenLabs、Scribe、语音识别、多模态，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「Decoder」（@Maximilian Schreiner），经 AITOP 多维评分管线结构化提炼。
