Hume 发布 Audio Decision API，可直接对音频片段提问并返回每个自定义答案的概率，无需转写步骤。该 API 把叹气、笑声、犹豫、重叠语音和背景音纳入模型输入，例如问“来电者是否生气”即可得到带置信度的直接回答。官方称过去需 10+ 个模型完成的工作现在一次调用即可，模型基于 1000 万+ 人类判断训练，支持实时或数小时录音分析。
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://x.com/hume_ai/status/2117285608745820372/video/1
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.在 X 查看被引用的帖子
来源：Rohan Paul · x.com