@hasantoxr: THIS IS INSANE for every voice agent builder. @hume_ai is shipping an audio-native decision model that answers question…
Summary
Hume AI announced the Hume Audio Decision API, an audio-native model that answers questions about tone, emotion, language, and speaker count directly from audio without needing a transcript, trained on 10M+ human judgments and 100M hours of audio.
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THIS IS INSANE for every voice agent builder.
@hume_ai is shipping an audio-native decision model that answers questions about tone, emotion, language, speaker count and custom signals without needing a transcript first.
• Trained on 10M+ human judgments • Backed by 100M hours of raw audio • 48 emotions, 600 emotional states • 50 languages • Realtime OR bulk across hours of calls
I feel like this is the missing ear for voice AI.
Hume AI (@hume_ai): 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
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