Hi, i have tried Assembly ai, and Deepgram's latest models (flux) as they are promising accurate turn handling (with barge in functionality) also. However on testing, neither is reliable...the accuracy of transcripts is lower than Nova models ...does anyone know how to solve this. ?? any models or settings which is accurate ? Also has anyone used the pipecat smart turn detection? Does is work well to indentify pauses and thinking vs end of sentence like the semantic based turn detection in flux/ assembly ai .?

Might be a silly one but Is one better than the other .? 1.In terms of latency and 2.agent orchestration ?