VaaniSetu — Rajasthan Language AI Stack (6 Dialects)
16.34 Million people in Rajasthan communicate across Marwari, Mewari, Hadoti, Dhundhari, Bagri, and Mewati. Building the reusable sovereign state Language AI Stack: ASR + MT + TTS.
“Mainstream voice assistants treat regional Rajasthani dialects as 'bad Hindi'. The government should not buy a transient vendor subscription; it should build a permanent, state-owned language asset for generations of AI models.”
16.34 Million Speakers Without Voice AI: The Regional Speech Crisis
Census 2011-derived data reveals 16.34 Million reported mother-tongue speakers in Rajasthan across six regional languages: Marwari, Mewari, Hadoti, Dhundhari, Bagri, and Mewati. Mainstream voice assistants fail completely because digital speech corpora for these dialects are virtually non-existent. When a farmer calls an agricultural helpline, generic models force their words into textbook Hindi, corrupting crop queries and denying vital public services.
Census 2011 Mother-Tongue Population Across the 6 Target Languages
| Regional Language | Reported Speakers (Census 2011) | Key District Footprint | Target Pilot Corpus |
|---|---|---|---|
| Marwari (मारवाड़ी) | 6,200,000 (6.20M) | Barmer, Jodhpur, Jaisalmer, Bikaner, Nagaur | 35–40 hrs prototype |
| Mewari (मेवाड़ी) | 4,180,000 (4.18M) | Udaipur, Rajsamand, Chittorgarh, Bhilwara | 30–35 hrs prototype |
| Harauti / Hadoti (हाड़ौती) | 2,940,000 (2.94M) | Kota, Bundi, Baran, Jhalawar | 25–30 hrs prototype |
| Dhundhari (ढूंढाड़ी) | 1,470,000 (1.47M) | Jaipur, Dausa, Tonk | 25–30 hrs prototype |
| Bagri (बागड़ी) | 1,120,000 (1.12M) | Hanumangarh, Sri Ganganagar | 25–30 hrs prototype |
| Mewati (मेवाती) | 420,000 (0.42M) | Alwar, Bharatpur | 25–30 hrs prototype |
| Total Native Population | 16,340,000 (16.34M) | Across Western & Southern Rajasthan | 160–200 hrs total prototype |
The 6-Stage VaaniSetu Speech AI Architecture
From field acoustic collection across 33 districts to calibrated Silero VAD cleaning, Conformer-CTC ASR fine-tuning, and authentic FastSpeech2 dialect voice synthesis.
Field Speech Corpus Acquisition
Calibrated field recording rigs capture conversational speech across demographic variations (age, gender, rural/urban) discussing civic issues, welfare schemes, and agricultural folklore across all 6 regional languages.
Native speakers across 33 districts of Rajasthan recorded in varied rural environments
Unprocessed multi-channel WAV audio database with strict speaker metadata logging
Calibrated Field Recording Rigs • 16kHz Uncompressed Audio • Multi-District Demographic Sampling
Acoustic Datasets & Pilot Metrics
Per dialect calibrated audio corpus for initial acoustic adaptation and ASR fine-tuning.
Expanded corpus capturing rural district variations, age groups, and farming terminology.
Word Error Rate targeted across noisy field audio and rapid colloquial regional speech.
Mean Opinion Score evaluated by native dialect speakers for voice cadence naturalness.
Test Regional Rajasthani Audio Transcription
VaaniSetu Rajasthan Speech & Dialect AI (6 Regional Languages)
Building a Permanent State Asset, Not a Vendor Subscription
Commercial cloud AI vendors sell API wrappers that lock the state into recurring token fees without transferring model ownership. VaaniSetu builds a permanent, reusable language infrastructure owned by the government:
Initiate the 24-Week VaaniSetu Pilot for Rajasthan
Designed to execute under the NCeG 2026 priority roadmap and Digital India BHASHINI guidelines. Our linguistics team provides complete field sampling and acoustic fine-tuning specifications.