CURRENT LANDSCAPE
Despite advancements in AI, building robust voice interfaces for India remains a complex challenge due to linguistic diversity and infrastructure gaps.
22+ official languages, extreme code-mixing (Hinglish, Tanglish), and high dialect diversity create massive recognition gaps.
High costs ($/min), privacy risks for sensitive data, API throttling, and network latency make real-time interaction sluggish.
Existing SOTA models (Whisper-large) are too heavy for consumer edge devices and lack granular per-character timestamps.
Standard ASR systems have no speaker memory or long-term context, treating every sentence as an isolated event.