gray-belgium-32244
09/22/2025, 12:22 PMtall-airline-16756
09/22/2025, 12:22 PMtall-airline-16756
09/22/2025, 12:22 PMte-IN), and is designed to deliver high-accuracy transcription for Indian accents. While specific latency benchmarks for LiveKit integration aren’t available, it’s still a solid choice.
• Google Cloud STT: Supports Telugu (te-IN) and has been tested specifically for low-latency use in LiveKit’s KITT demo, making it a great option for real-time applications. Plus, it offers advanced models like "chirp" to boost recognition quality.
If you’re aiming for the best low-latency performance, Google Cloud STT is a reliable pick with explicit validation for LiveKit. Feel free to reach out if you’d like assistance with setup or need any more details—I’m here to help!
Sources: Sarvam STT integration guide | LiveKit Docs | Sarvam STT integration guide | LiveKit Docs | Live Conversations with AI using ChatGPT and WebRTC | Google Cloud STT integration guide | LiveKit Docs | Speech-to-text (STT) integrations | LiveKit Docsgray-belgium-32244
09/22/2025, 12:23 PMtall-airline-16756
09/22/2025, 12:24 PMte-IN), which makes it a great choice if you’re looking for real-time applications in LiveKit.
• Sarvam STT: It does support Telugu too, but it doesn’t have native streaming functionality. However, you can still enable streaming by using Voice Activity Detection (VAD).
If you’d like, I’m here to assist you with setting up streaming transcription—just let me know!
Sources: livekit-plugins/livekit-plugins-google/livekit/plugins/google/models.py | Sarvam STT integration guide | LiveKit Docs