mnbbrown
Joined 15 years ago
Joined 15 years ago
- 1. Soniox (stt-async-v4): +176 new cases, running total 176/248 (71.0%)
- 2. ElevenLabs (scribe_v2): +26 new cases, running total 202/248 (81.5%)
- 3. Speechmatics (enhanced): +12 new cases, running total 214/248 (86.3%)
- 4. NVIDIA Parakeet (TDT 0.6B v2): +6 new cases, running total 220/248 (88.7%)
- 5. Mistral (voxtral-mini): +3 new cases, running total 223/248 (89.9%)
- 6. Gladia: +2 new cases, running total 225/248 (90.7%)
- 7. AssemblyAI (universal-2): +1 new cases, running total 226/248 (91.1%)
- 8. Deepgram (nova-3): +1 new cases, running total 227/248 (91.5%)
- 9. Cohere (transcribe-03-2026): +0 new cases, running total 227/248 (91.5%)
- 10. AssemblyAI (universal-3-pro): +0 new cases, running total 227/248 (91.5%)
Soniox (stt-async-v4): 176/248 (71.0%) ElevenLabs (scribe_v2): 170/248 (68.5%) AssemblyAI (universal-3-pro): 166/248 (66.9%) Deepgram (nova-3): 158/248 (63.7%) AssemblyAI (universal-2): 148/248 (59.7%) Cohere (transcribe-03-2026): 148/248 (59.7%) Speechmatics (enhanced): 134/248 (54.0%)
P.s. how do I get this to render correctly on here?
The dataset is ~100 8kHz call recordings with gnarly UK accents (which I consider to be the final boss of english language ASR). It seems like it's SOTA.
Where it does fall down seems to be the latency distribution but I'm testing against the API. Running it locally will no doubt improve that?
Company: We're the UK's fastest growing AI voice company (~30% MoM) - very deeply focused on the trades industry right now (think your friendly neighbourhood plumbing company).
We're a small but experienced team hiring 3 more to join:
- Founding Engineer - Founding SDR - Founding Operations Lead (customer success)
Tech: GKE, python, postgres, telephony/media streaming, realtime LLMs, contextual eou detection, the occasional REST API.
https://careers.elyos.ai/ or message me - matt (at) elyos.ai
Mention bananas for extra kudos.