# Hume AI launches Decision API for answering questions about audio

> Original title: Hume AI has launched a new Hume Decision API, an audio-native model that can answer questions about a recording by analyzing the audio it...

- Source: Testing Catalog
- Published: 2026-11-02T17:45:49.000Z
- Bad Influence: https://badinfluence.news/items/p8pj4si53i8uw1nyv7a43by95
- Original: https://x.com/testingcatalog/status/2117312236993544277

## Summary

Hume 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.

## Why it matters

The source gives a measured accuracy comparison against single listeners, which helps readers gauge how far audio question answering can replace human judgment.

## Post

Hume AI has launched a new Hume Decision API, an audio-native model that can answer questions about a recording by analyzing the audio itself.

Users can write their own questions and answer options, such as whether a caller sounds frustrated, and receive an estimate of how human listeners would answer.

In initial tests, the model agreed with the panel's average answer 70.7% of the time, compared to 56.5% for a single listener.

[Video](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Famplify_video_thumb%2F2117312192869478400%2Fimg%2FtEnBcK_-TpGxj4qO.jpg&mode=thumb&exp=1793836800&sig=73440b1f230643d2)

## Quoted post @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 recordings.
> 
> Request access below.

https://x.com/hume_ai/status/2117285608745820372