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> Limitations >Timestamps/Speaker diarization. The model does not feature either of these. What a shame. Is whisperx still the best choice if you want timestamps/diarization?
For podcasts there is this https://news.ycombinator.com/item?id=47584376
Earlier quoted context omitted.
For podcasts there is this https://news.ycombinator.com/item?id=47584376
Link doesn't work for me, can you double check it please? Or tell the name of it so I can look it up? Thanks!
Ran it over our internal dataset of ~250 recordings of people saying british postcodes (all kinds of accents, etc) - it's competitive for sure! 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/…
did you try gladia: ranking #1 on STT blind test https://compare-stt.com/
- 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%)
Ran it over our internal dataset of ~250 recordings of people saying british postcodes (all kinds of accents, etc) - it's competitive for sure! 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/…
did you try gladia: ranking #1 on STT blind test https://compare-stt.com/
notable omission of deepgram models in comparisons?
Earlier quoted context omitted.
This is exactly the case today. Multimodal LLMs like gpt-4o-transcribe are way better than traditional ASR, not only because of deeper understanding but because of the ability to actually prompt it with your company's specific terminology, org chart, etc. For example, if the prompt includes that Caitlin is an accountant and Kaitlyn is an engineer, if you transcribe "Tell Kaitlyn to review my PR" it will know who you'…
Many ASR models already support prompts/adding your own terminology. This one doesn't, but full LLMs especially such expensive ones aren't needed for that.