syhw/wer_are_we resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1864 stars · 224 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, community-maintained tracker of state-of-the-art word error rate (WER) results on speech recognition benchmarks like LibriSpeech, with links to the source papers. It serves as a bibliography and leaderboard for automatic speech recognition research progress.

Use cases

• find the current state-of-the-art WER on LibriSpeech
• look up papers achieving low word error rates in speech recognition
• compare ASR model benchmark results over time
• find a bibliography of speech recognition research papers
• check how close speech recognition is to human-level performance
• track recent results in automatic speech recognition

When to choose

• you need an up-to-date reference of SOTA speech recognition benchmark numbers
• you want paper citations for ASR results to compare your own model against
• you are researching progress in speech recognition over the years

When to avoid

• you need runnable speech recognition code or models rather than benchmark tables
• you need benchmarks for languages or datasets other than those covered (e.g., beyond LibriSpeech)
• you need a maintained software library with a license

Facets

dataset · maturity maintenance

speech-recognition benchmarking documentation speech-processing machine-learning cross-platform word-error-rate state-of-the-art-tracking librispeech asr-benchmark bibliography leaderboard research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="syhw/wer_are_we")