Ciaran
07/30/2026, 11:20 AMAI Evy
07/30/2026, 11:20 AMAI Evy
07/30/2026, 11:21 AMstt_mode parameter, which accepts values like "fast" .
For custom configurations, you can use the custom_stt_config object to fine-tune settings like endpointing_ms .
Regarding performance differences between providers, the documentation doesn't provide specific benchmarks. However, each provider has different language coverage [(1) ]() :
- Azure covers every supported language and acts as the broad-coverage fallback
- AssemblyAI supports code-switching across its listed languages
- Deepgram and Soniox support any-to-any code-switching for multilingual agents
If you're experiencing transcription issues or want to explore alternatives, you might consider adjusting your vocab_specialization setting (options include "general") or using boosted_keywords to improve recognition of specific terms [(2) ]() [(3) ]() .AI Evy
07/30/2026, 11:21 AMAI Evy
07/30/2026, 11:21 AMCiaran
07/30/2026, 11:24 AMAI Evy
07/30/2026, 11:24 AMAI Evy
07/30/2026, 11:25 AMendpointing_ms: 1000, the system can cut people off early, causing parts of words to get missed,AI Evy
07/30/2026, 11:25 AM"en-GB" for UK English , as mismatched language settings significantly increase transcription errors [(7) ]() .
Keep in mind that while boosted keywords help, they won't fully work if the model isn't "hearing" the word clearly due to pronunciation or audio quality [(4) ]() .AI Evy
07/30/2026, 11:25 AMAI Evy
07/30/2026, 11:25 AM