Hume introduces Audio Decision API for analyzing speech directlyMachine translation

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://t.co/tewKHPdjY3

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.