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 built specifically for the Azerbaijani language, enabling government bodies to process vast volumes of audio records while ensuring citizen data remains strictly within national borders through on-premise deployment. Unlike generic solutions, our technology is built from the ground up for Azerbaijani rather than being adapted from a related language, eliminating the common issue of 'false fluency' where systems return confident but incorrect Turkish text. Our solution addresses critical gaps in the current speech-to-text landscape, where even leading commercial and open-source services often produce unusable output for Azerbaijani. By deploying on your own infrastructure, public administration bodies can achieve high-accuracy transcription without the risks of third-party data retention or the unpredictability of per-hour cloud metering, ensuring that sensitive recordings never leave the secure internal network.
Solving Government Data and Operational Challenges
Guaranteed data sovereignty with on-premise infrastructure ensuring recordings never leave your network
Elimination of 'false fluency' where Azerbaijani speech is incorrectly transcribed as Turkish
Reduced public-service response times through processing speeds four to seven times faster than cloud benchmarks
Enhanced audit transparency by converting call recordings and meetings into searchable, documented text
Protection of citizen data by removing third-party data retention and per-hour metering costs
High reliability in challenging environments due to training on genuine call-center audio rather than read speech
Purpose-Built Models for Public Sector Needs
Chinar-L for Official Records
Designed for transcripts intended for human reading, featuring punctuation and capitalization. Ideal for interviews, meetings, and compliance records with 87% word accuracy on clear Azerbaijani speech.
Chinar-F for Large-Scale Analytics
A model roughly 50x smaller, optimized for machine reading. Perfect for transcribing every call in an archive for quality monitoring and search without requiring massive hardware.
Real-World Audio Training
Trained on genuine call-center recordings including background noise, interruptions, and phone-line quality, rather than clean read speech.
High-Performance Processing
Engineered to be four to seven times faster than the cloud speech services used in our benchmarks.
Deployment Process
Frequently Asked Questions
How does this handle data privacy and sovereignty?
The system runs entirely on your own infrastructure. There is no third-party retention, no per-hour metering, and recordings never leave your network, ensuring full compliance with national data laws.
Why is this better than using global speech services?
Many global services either do not support Azerbaijani or return confident text in Turkish. Our models are built specifically for Azerbaijani, not adapted from a related language, avoiding the 'false fluency' that makes other outputs unusable.
Can it handle low-quality audio from phone lines?
Yes. Unlike models trained on 'read speech,' our systems are trained on genuine call-center recordings, meaning they are designed to handle background noise, overlapping speech, and standard phone-line quality.
What is the difference between Chinar-L and Chinar-F?
Chinar-L is optimized for human-read documents with punctuation and capitalization. Chinar-F is roughly 50 times smaller and designed for machine-read analytics, allowing it to run on modest hardware at a fraction of the cost.
How accurate is the transcription for Azerbaijani?
Chinar-L achieves 87% word accuracy on clear Azerbaijani speech when measured against reference transcripts from a commercial speech system.
Secure Your Citizen Data Today
Contact Allmaz to implement on-premise Azerbaijani speech recognition for your public body.
Request a demo