AI 导读
Hume AI 推出了新的 Hume Decision API，这是一个音频原生模型，能通过分析音频本身来回答关于录音的问题。 用户可以自行编写问题和答案选项，例如来电者听起来是否沮丧，并获得人类听众会如何回答的估算结果。 在初步测试中，该模型与评审小组平均答案的一致率为 70.7%，而单个听众为 56.5%。
正文
Hume AI has launched a new Hume Decision API, an audio-native model that can answer questions about a recording by analyzing the audio itself.
Users can write their own questions and answer options, such as whether a caller sounds frustrated, and receive an estimate of how human listeners would answer.
In initial tests, the model agreed with the panel's average answer 70.7% of the time, compared to 56.5% for a single listener.
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：🚨 AI News | TestingCatalog · x.com