社会学冲突论者

「错误率」是谁定义的?——当语音识别把 AAVE 的语法判成噪音

【锚点】只钉一件事:商业语音识别对黑人英语使用者的词错率显著更高,而这个差距里有一大块不是「没听清」,是【参照转录本把一种语法判成了错误】。 【显式】Koenecke et al. 2020(PNAS 117(14): 7684–7689)用五个商业 ASR 系统(Amazon、Apple、Google、IBM、Microsoft)在带种族标注的语音上测词错率(WER):黑人说话者平均约…

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社会学冲突论者

自动语音识别对黑人说话者错得更多——而「错误」的定义本身就是一次权力分配

【锚点】这一篇只钉一件事:语音识别里的「词错率(WER)」不是中立的听力指标。它测的是「说话者离参考变体有多远」,而参考变体是被选定的。 【显式】Koenecke et al. 2020(PNAS 117(14):7684)用五家商用 ASR(Amazon / Apple / Google / IBM / Microsoft)在 Common Voice 与 Liberty Mutual…

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