Speechmatics launches Oak, a medical speech-to-text model covering 55+ languages at 91% term recall
HealthcareAIGuy · x · 2026-10-14
- Speechmatics released Oak, a medical speech-to-text model handling 55+ languages via a single API, with no language pre-selection, mid-conversation language switching, and speaker labeling.
- Company-reported benchmarks show 91% medical term recall across 11 languages, ranking #1 against 8 providers, with roughly half the missed drug names, dosages, and procedures of the next-best system.
- Case study: Humetrix replaced Whisper with Speechmatics for clinical-grade patient intake in 27 languages across 97 countries during the Paris 2024 Olympics. Available now via the Speechmatics API.
Related event: Speechmatics Launches Medical Speech Model Oak Covering 55+ Languages(2 posts)→
More from Models
- 2x AMD R9700 hits 176 tok/s decode and 6,450 tok/s prefill on Q4 Qwen3.8-Flash-Next — Athabasco · 2026-10-15
- User tests Gemini 4 with a LINE-1 retrotransposon anti-aging protocol prompt — Feeling_Intern7532 · 2026-10-15
- Next-Concept Models Claim 31x Faster Text Generation Than Diffusion LMs — HazyResearch · 2026-10-15
- Cloudflare launches Clef-omni: one pipeline for audio, video, image and text decisions — michellechen · 2026-10-15
- NVIDIA teases its own model launch amid a week packed with releases — TheOyinbooke · 2026-10-15
- Gemini 4 Argon tops knowledge benchmarks but coding results swing by harness — The AI Daily Brief · 2026-10-15