N-way parallel read-speech set in about 100 languages, used to evaluate multilingual speech recognition, language identification and speech translation.
openslr/librispeech_asr
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.About
Roughly 1,000 hours of read English audiobook speech with transcripts, the long-standing benchmark for English speech recognition.
Why it matters for physical AI
It is the default yardstick for checking whether a small on-device or laptop-hosted STT model is accurate enough for a voice robot.
Summary written by FrontierOS in our own words. The upstream card and license govern use. Metadata checked 27 Sep 2026. Read the full card on Hugging Face
Files, weights and version history live on Hugging Face. FrontierOS indexes this repo; it does not host or mirror it.
hf download openslr/librispeech_asr --repo-type datasetUses the Hugging Face CLI (pip install -U huggingface_hub). This downloads the whole repo; add --include "<pattern>" to fetch only the files you need.
More speech corpus
Browse allOne-second clips of short spoken words such as yes, no, stop and the digits, collected for training tiny keyword-spotting models.