Azerbaijani speech recognition for Government
Azerbaijani speech recognition for government. Public bodies require on-premise systems so citizen data never leaves the country.
Secure Azerbaijani Speech Recognition for Public Administration
Allmaz provides specialized automatic speech recognition (ASR) built specifically for the Azerbaijani language, rather than being adapted from a related language. This native approach solves the critical issue of 'false fluency,' where global speech services often return confident but incorrect Turkish text when processing Azerbaijani audio. By delivering a system that truly supports the language, public institutions can avoid the unusable outputs common in commercial and open-source alternatives and ensure high-fidelity transcription for government records. Designed for the rigorous demands of public administration, the system is deployed on-premise to maintain strict data sovereignty. By running the ASR on internal infrastructure, government bodies ensure that sensitive citizen data and audio recordings never leave the building. This eliminates the risks associated with third-party cloud retention and per-minute billing, providing a secure, cost-predictable environment where the volume of processed calls does not increase operational expenses.
Solving Government Data and Operational Challenges
Absolute data sovereignty via on-premise deployment, ensuring no audio leaves your secure infrastructure
Elimination of 'false fluency' errors where Azerbaijani speech is incorrectly transcribed as Turkish
Full call coverage for QA, analytics, and audit evidence, replacing limited sampling with total archive searchability
Significant cost predictability with no per-minute cloud billing, keeping expenses flat as call volumes grow
High-performance processing speeds, operating four to seven times faster than benchmarked cloud speech services
Enhanced compliance and transparency through the automated transcription of interviews, meetings, and official records
Production-Ready Models for Every Government Use Case
Chinar-F: High-Volume Transcription
A compact transducer trained on real Azerbaijani call-centre recordings. Optimized for phone quality, it is the most accurate model for real calls, making 23% fewer word errors than commercial cloud services and scoring 91% accuracy on clear read speech.
Chinar-L: Document and Compliance
Engineered for interviews and meetings that require official documentation. It scores 93–94% word accuracy on clear Azerbaijani speech and automatically converts numbers to digits for precise compliance records.
Chinar-P: Minimal Infrastructure
A compact model designed for sites without a GPU. It runs 26× faster than real time on four CPU cores while maintaining performance on par with commercial cloud speech services.
Advanced Linguistic Processing
All models handle mixed Azerbaijani–Russian speech, automatically apply punctuation and capitalization, and perform speaker diarization to accurately label every participant.
Implementing Secure Speech-to-Text
Frequently Asked Questions
How does this handle data privacy for citizens?
The system runs entirely on your own infrastructure. Because it is an on-premise deployment, there is no third-party data retention and no call audio ever leaves your facility.
Is the system capable of handling real-world phone quality?
Yes. Unlike models trained only on read speech, our models are trained on genuine call-centre recordings, meaning they are designed to handle background noise, interruptions, and overlapping speech.
How does it compare to global cloud speech services?
Many global services return Turkish text for Azerbaijani audio or produce unusable output. Our models are built specifically for Azerbaijani and are four to seven times faster than the cloud services benchmarked against them.
Can I test the technology before deployment?
Yes. Visitors can test hosted ASR models for free at chinar.allmaz.az by uploading a recording to receive an editable Azerbaijani transcript without needing an account or credit card.
Does the system support multi-language environments?
Yes, the Chinar models are designed to handle mixed Azerbaijani–Russian speech, ensuring accurate transcription even when languages are blended.
Secure Your Citizen Data Today
Contact Allmaz to deploy a sovereign Azerbaijani speech recognition system on your own infrastructure.
Request a demo