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SpaceXAI 发布 Grok Voice Transcribe 2.0：错误率减半、价格不变，流式语音识别登顶榜单
据 AIbase 报道，SpaceX 旗下 AI 部门 SpaceXAI 于 9 月 18 日发布语音转文字模型 Grok Voice Transcribe 2.0，声称错误率降低约一半且价格不变。该模型基于 Grok Voice 音频基础模型，已用于客服电话、视频配音转写及特斯拉车载 Grok 助手等场景。报道称其在 Artificial Analysis 的 32 个流式模型榜单中排名第一，并在客服录音、日常英语对话、口述电话号码/邮箱等结构化信息、多语言短指令四类内部数据集上全面优于 1.0 版本。上述性能与榜单结论均来自该报道，未提供具体错误率数值或评测细节。
AI推荐理由 内容涉及语音识别模型 Grok Voice Transcribe 2.0 的发布，声称错误率减半、价格不变，并在 Artificial Analysis 流式模型榜单排名第一，还提到内部四类数据集评测。但来源为 AIbase 聚合站，正文未给出具体错误率数值、榜单链接或评测方法，'登顶榜单''错误率砍半'等关键结论缺乏可验证证据，且 SpaceXAI 这一主体名称本身存疑，需谨慎对待。对关注语音识别和 Agent 语音交互的开发者有一定参考价值，但信息密度和可信度一般。
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SpaceXAI Launches Grok Voice Transcribe 2.0: Error Rate Halved, Price Remains Unchanged, Streaming Speech Recognition Tops the Charts
AIbase基地
Published inAI News · 3 min read · Sep 20, 2026
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On September 18 local time, SpaceX's artificial intelligence department, SpaceXAI, released its new speech-to-text model Grok Voice Transcribe2.0. The most impressive feature is that it reduced the error rate by about half without increasing the price.
It is based on the underlying audio foundation model of Grok Voice, which has now been deeply integrated into real business operations: handling tens of thousands of customer service calls daily, transcribing millions of hours of video voiceovers, and driving various voice assistants in physical hardware, including the Grok assistant in Tesla vehicles. In other words, it is not a model that just runs benchmarks in the lab, but a product that has been repeatedly refined by massive real-world voice data.
On the public ranking list of Artificial Analysis, Grok Voice Transcribe2.0 ranked first among all 32 streaming models, leaving its competitors far behind. SpaceXAI is not satisfied with public benchmarks; it sampled four internal datasets from its own online services for systematic evaluation, covering customer service call recordings, daily English conversations with Grok, structured information such as spoken phone numbers and email addresses, and multilingual short instructions—on all four datasets, version 2.0 completely outperformed version 1.0.
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