LibriSpeech
by Panayotov et al. / Johns Hopkins · open-source · Last verified 2026-03-17
LibriSpeech is the standard English automatic speech recognition (ASR) benchmark derived from LibriVox audiobooks, containing 1,000 hours of read speech at 16kHz. Word Error Rate (WER) on clean and noisy test splits drives competitive progress in ASR research.
https://www.openslr.org/12 ↗B+
B+—Good
Adoption: A+Quality: AFreshness: C+Citations: A+Engagement: F
Specifications
- License
- CC BY 4.0
- Pricing
- open-source
- Capabilities
- evaluation, speech-recognition, asr-benchmarking
- Integrations
- Use Cases
- model-evaluation, speech-ai, asr
- API Available
- No
- Evaluated Models
- whisper-large-v3, conformer-xl, wav2vec2-large, mms
- Metrics
- wer-clean, wer-other
- Methodology
- Two test sets: test-clean (2,620 utterances from clean recordings) and test-other (2,939 utterances from more acoustically challenging speech). WER computed with standard normalization; lower is better.
- Last Run
- 2026-01-25
- Tags
- asr, speech-recognition, english, audiobooks, wer
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
79Adoption
94
Quality
88
Freshness
55
Citations
95
Engagement
0