A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.
BenchLM mirrors the published score view for VoxPopuli WER. Interfaze Beta leads the public snapshot at 2.4%. BenchLM does not use these results to rank models overall.
Year
2026
Tasks
Speech-to-text transcription
Format
Word error rate
Difficulty
Audio speech recognition
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.
Version
VoxPopuli WER 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A speech-recognition benchmark on the cleaned Artificial Analysis VoxPopuli subset, reported as word error rate where lower is better.
Interfaze Beta by Interfaze currently leads with a score of 2.4% on VoxPopuli WER.
1 AI models have been evaluated on VoxPopuli WER on BenchLM.
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