Hume 发布 Audio Decision API,直接从语音回答情感与说话人问题
Hume 推出 Audio Decision API,可直接从音频本身回答自定义问题,例如有几位说话人、是否有人在笑、来电者是否沮丧,无需转写步骤,并为每个答案返回概率。
Rohan Paul· @rohanpaul_ai · X·2026-11-03 00:56· 15 分钟前AI 评分53
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Hume 推出 Audio Decision API,可直接从音频本身回答自定义问题(如有几个说话人、是否有人在笑、来电者是否沮丧),无需转写步骤,并为每个答案返回概率。该 API 将叹气、笑声、犹豫、重叠语音和背景声音纳入模型输入,支持实时或处理数小时录音,基于 10M+ 条人类判断训练。传统方案靠读取文本转写判断通话会丢失语气,该 API 直接听语音本身,能识别讽刺语气。
正文 · 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://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
来源:RadarAI · aihot.news
