原帖引用 · AI 翻译
Hume 音频决策 API：
话语中的许多含义蕴含在表达方式里，而现在可以直接就此向模型提问。
Hume 音频决策 API 直接根据音频本身回答关于片段的问题，无需转录步骤，并为你定义的每个答案返回一个概率。
> 将叹息、笑声、犹豫、重叠的讲话和背景声音都纳入模型输入。文字转录会把这些全都简化成相同的文字。
> 因此你可以问“这位来电者生气了吗？”，并得到带有置信度百分比的直接回答。
> 大多数 AI 通过阅读文字转录来判断通话，因此会丢失语气；但这个 API 会聆听声音本身，所以带着讽刺语气说出的“哦，太好了”不再会被算作高兴。
https://t.co/tewKHPdjY3
原文
A lot of the meaning in speech sits in the delivery, and models can now be asked about it directly. The Hume Audio Decision API answers questions about a clip from the audio itself, with no transcript step, and returns a probability for each answer you define. > puts sighs, laughter, hesitation, overlapping speech and background sounds inside the model’s input. A transcript would have reduced all of them to the same words. > so you can ask like “Is this caller angry?”, and get a direct answer with a confidence percentage. > Most AI judges calls by reading a text transcript, which loses tone; But this one listens to the voice itself, so a sarcastic “Oh, perfect” no longer counts as happy. https://t.co/tewKHPdjY3
隆重推出 Hume 音频决策 API。
什么都可以问：有多少位说话者？有人在笑吗？来电者是否感到沮丧？
过去需要 10 多个模型才能完成的事，现在只需调用 1 次。
它使用超过 1000 万条人类判断进行训练，因此能像人类听众一样回答。
可实时处理，也可处理长达数小时的录音。
在下方申请访问权限。
原文
Introducing the Hume Audio Decision API. Ask anything: How many speakers? Is anyone laughing? Is the caller frustrated? What used to take 10+ models is now one call. Trained on 10M+ human judgments, so it answers the way human listeners would. Realtime, or across hours of recordings. Request access below.