# VoxPopuli-Cleaned-AA Word Error Rate (VoxPopuli WER)

> A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.

Canonical page: https://benchlm.ai/benchmarks/voxpopuliwer

- Category: [Multimodal & Grounded](/multimodal-grounded)
- Last updated: September 27, 2026

## About VoxPopuli WER

- Year: 2026
- Tasks: Speech-to-text transcription
- Format: Word error rate
- Difficulty: Audio speech recognition
- Paper: [VoxPopuli-Cleaned-AA](https://huggingface.co/datasets/ArtificialAnalysis/VoxPopuli-Cleaned-AA)

VoxPopuli-Cleaned-AA measures transcription quality on multilingual European Parliament speech using Whisper-style text normalization. BenchLM stores Interfaze's WER as a display-only multimodal and audio row.

VoxPopuli WER is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (1 models)

| Rank | Model | Creator | Score |
|------|-------|---------|-------|
| 1 | [Interfaze Beta](/models/interfaze-beta) | Interfaze | 2.4% |

## FAQ

### What does VoxPopuli WER measure?

A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.

### Which model scores highest on VoxPopuli WER?

Interfaze Beta by Interfaze currently leads with a score of 2.4% on VoxPopuli WER.

### How many models are evaluated on VoxPopuli WER?

1 AI models have been evaluated on VoxPopuli WER on BenchLM.

### Does VoxPopuli WER affect BenchLM's overall score?

Not directly. VoxPopuli WER is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.
