Afrispeech Semantics - Consistency (AfriSpeech-Medical): leaderboard
Metric: Macro-F1 (%; binary consistent versus inconsistent judgments of text hypotheses against a spoken premise, computed over all premise-hypothesis pairs of the AfriSpeech-Medical clinical-dialogue set; zero-shot generative audio language model, free-form answers mapped to labels by a lightweight language model). Source: arxiv.org. Saturation forecast: Around December 2026. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | SALMONN-13B | 77.49 |
| 2 | Qwen2-Audio-7B-Instruct | 76.22 |
| 3 | Qwen2.5-Omni-7B | 70.25 |
Interactive version: theaggregate.ai/benchmark?slug=afrispeech-semantics-consistency-afrispeech-medical · How It Works · Data refreshed daily, snapshot 2026-09-26.