Hume 推出 Audio Decision API：直接从语音判断情绪并返回置信度
Hume 出了个 Audio Decision API，不转文字直接听录音判断情绪，比如判断来电者生不生气还给你置信度，反讽话也能听出来。
Hume 发布 Audio Decision API，可在不做转写的情况下直接分析音频片段。模型把叹气、笑声、犹豫、重叠说话和背景声音都纳入输入，然后针对用户定义的问题返回概率，例如“这位来电者是否生气”会附带一个置信度百分比。传统方案大多先转写成文字再判断，语气信息会被抹掉，反讽的“Oh, perfect”容易被算作正面情绪。
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
