<@U07FRRZH2GN> Best turn dection model for indian ...
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@icy-policeman-64898 Best turn dection model for indian languages
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Thanks for reaching out, Abhishek. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’m glad you asked. You’re asking about the best turn-detection model for Indian languages; here’s a concise recommendation and practical guidance. Recommendation • Use the MultilingualModel for turn detection. It’s designed for multilingual scenarios and supports Indian languages such as Hindi, Tamil, Telugu, Kannada, Malayalam, and others. It performs well across non‑English languages and handles structured content like phone numbers or addresses. Why it’s a good fit • Optimized for multilingual use cases and reduces interruptions by accurately finding turn boundaries. • Single unified model — you don’t need separate end‑of‑turn models per language. • Works well when paired with an STT engine that can detect or handle multiple languages. Practical tips for best results • Pair MultilingualModel with an STT that supports language detection or multi-language transcription (for example, Deepgram with
language="multi"
). • Use a responsive VAD (e.g., Silero VAD) to handle quick interruptions and improve latency for end-of-turn decisions. • If your use case involves code‑switching (frequent language switches inside a single session), ensure your STT is configured for automatic language switching so turn detection sees accurate transcripts and prosody cues. Example configuration (conceptual)
Copy code
session = AgentSession(
    turn_detection=MultilingualModel(),
    stt=inference.STT(language="multi"),
    vad=silero.VAD.load(),
    # ... other components like llm, tts
)
A quick question to tailor the advice • Are you primarily targeting a single Indian language (e.g., Hindi) or building for multiple languages and code-switching? That will help me suggest STT settings, VAD tuning, and any deployment tips. If you share your primary languages and whether users will frequently switch languages mid‑call, I’ll give a short, actionable setup checklist. Sources: LiveKit turn detector plugin | LiveKit Documentation | Improved End-of-Turn Model Cuts Voice AI Interruptions 39% | Improved End-of-Turn Model Cuts Voice AI Interruptions 39% | Sarvam STT plugin guide | LiveKit Documentation | Build a multilingual voice agent that automatically switches languages | Li...