Hume推出针对语音AI的音频原生决策模型API
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2026年11月，Hume推出面向语音AI的音频原生决策模型（Audio Decision Model API）。该API允许开发者输入音频、相关问题及候选选项，进而获取各答案的对应概率，主要用于评估语音的自然度、清晰度与共情度。在性能与评测表现上，该模型在10项基准评测中的平均得分为0.82，中位延迟为0.23秒，与人类群体判断的一致性达到70.7%。应用方面，该API可作为决策层直接嵌入语音智能体架构中，用于辅助训练数据筛选以及异常案例的升级审核。
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- Hacker News · AISelectedHume Launches Audio Decision Model API for Voice AI
Hume has introduced its Audio Decision Model API—an audio-native model tailored for voice AI that allows developers to submit audio, questions, and multiple-choice options to retrieve probability distributions for each answer. It can evaluate voice naturalness, clarity, and empathy. The model achieves an average score of 0.82 across 10 benchmarks, a median latency of 0.23 seconds, and a 70.7% alignment with human consensus. The API can be integrated into voice agent architectures as a decision-making layer, assisting in training data curation and edge-case escalation.
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