AI Benchmarks & Comparisons
Indian Languages & Code-Switching
Deep acoustic models fine-tuned for Telugu, Hindi, Tamil, Kannada, and natural Hinglish code-switching.
Last updated: 25 October 2026
Authentic Regional Dialects vs Generic TTS
Most international voice platforms use generic multilingual text-to-speech models with unnatural American or British cadences when speaking Indian languages. Sancharya uses regional speech models trained on authentic conversational cadences:
- Telugu: Authentic Telangana and Andhra colloquial pacing with natural honorifics (Garu, Andandi).
- Hindi: Clear Northern and Deccani Hindi conversational flow without robotic synthetic inflections.
- Tamil: Natural Chennai and Coimbatore colloquial phrasing for commercial calls.
- Indian English & Hinglish: Seamless mid-sentence code-switching (e.g., 'Sure sir, flat 3BHK visit schedule cheddama? We have slots this Saturday.')
Sub-780ms Round-Trip Audio Latency
Conversation feels natural only when pauses between speaker turns match human conversational norms (typically 600ms to 900ms). Sancharya achieves sub-780ms round-trip latency through direct edge audio streaming and acoustic interruption handling (< 200ms cutoff when the customer speaks).
Verifiable Recorded Call Dialogue Evidence
Unlike synthetic API demos that fail on live phone lines, Sancharya publishes full multi-turn audio recordings across 21 distinct Indian industries. You can listen to full 3-minute unedited calls in our Audio Dialogue Registry.