Azerbaijani speech recognition for Telecom
Azerbaijani speech recognition for telecom. Operators handle millions of subscriber interactions across Azerbaijani and Russian, under service-quality SLAs.
Precision Azerbaijani Speech Recognition for Telecom Operators
Telecom operators manage millions of subscriber interactions across Azerbaijani and Russian while maintaining strict service-quality SLAs. Allmaz provides specialized automatic speech recognition (ASR) built specifically for Azerbaijani from the ground up, rather than adapting it from related languages. This native approach eliminates the common failure of global speech services, which often return fluent but incorrect Turkish text when processing Azerbaijani audio, or in some cases, produce unusable output due to a total lack of language support. By deploying production-ready models trained on genuine call-center recordings—complete with background noise, interruptions, and overlapping speech—operators can move beyond sampling to achieve full call coverage. This enables comprehensive QA, searchable archives, and robust evidence for compliance and audit, allowing operators to reduce churn and optimize subscriber interactions through high-fidelity analytics and precise transcription.
Solving Telecom Operational Challenges
Eliminate language mismatch errors where Azerbaijani speech is incorrectly transcribed as Turkish or remains unsupported
Manage mixed Azerbaijani–Russian subscriber conversations within a single transcription workflow
Achieve 100% call coverage for QA and compliance, replacing small samples with a complete searchable archive
Remove unpredictable per-minute cloud billing and reduce operational costs via local infrastructure
Ensure total data privacy and security by keeping all audio within your building with no third-party retention
Accelerate processing speeds, performing four to seven times faster than benchmarked cloud speech services
Production-Ready Model Options
Chinar-F for Volume
A compact transducer trained on real Azerbaijani call-center recordings. It is the most accurate model for real calls, making 23% fewer word errors than commercial cloud speech services on the same recordings, with 91% accuracy on clear read speech.
Chinar-L for Documentation
Optimized for interviews, meetings, and compliance records. It provides 93–94% word accuracy on clear Azerbaijani speech and converts numbers into digits for formal documentation; requires GPU.
Chinar-P for Minimal Infrastructure
A compact model that requires no GPU, running 26× faster than real time on four CPU cores while remaining on par with commercial cloud speech services for call-center recordings.
Advanced Linguistic Processing
All three models automatically handle punctuation, capitalization, and speaker diarization to label exactly who said what during a call.
From Audio to Actionable Insights
Frequently Asked Questions
How does this differ from global cloud speech services?
Many global services lack native Azerbaijani support or mistakenly transcribe Azerbaijani as Turkish. Our models are built specifically for Azerbaijani and trained on genuine call-center audio rather than read speech.
Can it handle the noise typical of telecom call centers?
Yes. The models are trained on real phone-line quality audio, including background noise, overlapping speech, and interruptions, ensuring reliability in real-world environments.
What are the performance and cost benefits of local deployment?
Our solutions are four to seven times faster than benchmarked cloud services. Because they run on your own hardware, you eliminate per-minute billing, meaning costs do not grow as your call volume increases.
How can I verify the accuracy before deployment?
Visitors can test hosted ASR models for free at chinar.allmaz.az. Simply upload a recording to receive an editable Azerbaijani transcript without needing an account or credit card.
Does the system support multi-speaker conversations?
Yes, all three models include speaker diarization, which automatically labels different speakers to identify who said what throughout the recording.
Ready to optimize your contact center?
Deploy high-accuracy Azerbaijani speech recognition on your own infrastructure today.
Request a demo