Thanks — I hear you: inaccurate transcription (English being recognized as Korean/Chinese) is frustrating. Below are the main levers you can use with LiveKit Agents + the OpenAI Realtime plugin to improve accuracy, and a couple of quick questions so I can give more targeted advice. Key levers to improve transcription accuracy • Specify language explicitly ◦ Set the STT

language

parameter or provide language hints so the model doesn’t attempt automatic language detection. • Choose the right model/config ◦ Use a transcription model optimized for your primary language (e.g.,

gpt-4o-transcribe

or another English-focused STT) and keep language settings consistent across components. • Improve input audio quality ◦ Reduce background noise, use proper mic placement, and enable noise cancellation or AGC if available. ◦ Apply local noise cancellation plugins (e.g.,

noise_cancellation.BVC()

where supported). • Tune realtime/VAD settings ◦ Adjust turn detection and VAD thresholds (e.g.,

threshold

,

silence_duration_ms

) so speech boundaries are detected correctly and mid-speech mis-labeling is reduced. • Use a hybrid flow for multilingual environments ◦ Run a lightweight language-detection step first, then route audio to the matching STT model (English model when detected English). • Consider alternate STT providers if needed ◦ If the Realtime plugin continues to misclassify, try a dedicated STT like Deepgram or AssemblyAI for comparison and fallback. • Monitor and iterate ◦ Capture

conversation_item_added

or real-time transcription events to inspect failure modes, test with representative accents/noise, and adjust configs based on observed errors. Quick questions to narrow advice 1. Which STT model and language settings are you currently using? 2. Are you running any noise cancellation or AGC in the pipeline now? 3. Is the misclassification consistent for certain speakers/accents or random? If you share those details I’ll recommend specific settings and steps to try next. Sources: How to capture real-time agent transcriptions during conversations | Audio customization | LiveKit Documentation | Agent speech and audio | LiveKit Documentation, with interactive elements