Hume AI launches Audio Decision API for answering questions about audio
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🚨 AI News | TestingCatalogXHume AI launches Decision API for answering questions about audioAIHume AI has launched the Hume Decision API, an audio-native model that answers user-written questions about a recording by analyzing the audio itself. In initial tests, it matched the panel's average answer 70.7% of the time, versus 56.5% for a single listener.
Rohan PaulXHume launches an audio decision API that answers questions from raw speechAIHume has introduced the Hume Audio Decision API, which answers questions about a clip directly from the audio without a transcript step. Developers can ask questions such as whether a caller is angry and receive a direct answer with a confidence percentage. The company says the API is trained on more than 10 million human judgments and can run in realtime or across hours of recordings.
elvisXHume launches an audio-native decision API for voice agentsAIHume's Audio Decision API listens to raw audio and answers questions such as "Is the caller frustrated?" in a single call, instead of chaining 10+ models. The API is trained on over 10 million human judgments, so it answers the way human listeners would. It works in realtime or across hours of recordings, and access is by request.
SantiagoXHume releases an audio decision model that answers questions from raw soundAIHume's new Audio Decision API takes audio and a list of questions and returns answers with confidence scores, without a transcript. According to Santiago, the model can answer from tone, hesitation, and laughter, clues a transcript would miss. Hume says the model replaces more than 10 separate models with one call and was trained on 10M+ human judgments.