What are punctuation and capitalisation in a transcript?
What are punctuation and capitalisation in a transcript? A clear explanation for Azerbaijani business — and how Chinar applies it.
Native Azerbaijani Automatic Speech Recognition
Most global speech services struggle with Azerbaijani, often returning fluent but incorrect text in Turkish that appears accurate to those unfamiliar with the language. In head-to-head tests of major 2026 speech services, both commercial and open-source options produced effectively unusable output because they lack native support for the language. Our solution is built specifically for Azerbaijani rather than being adapted from a related language, ensuring that the linguistic nuances, punctuation, and capitalization are handled with native precision. By utilizing models trained on genuine Azerbaijani phone audio—including the background noise, interruptions, and overlapping speech typical of call centers—we provide a robust alternative to cloud-based services. This native approach allows for significantly higher accuracy on real-world calls and provides the infrastructure necessary to transform raw audio into structured, professional text. Whether for high-volume call processing or detailed documentation, these models ensure that Azerbaijani speech is transcribed accurately without the risk of language misidentification.
Advantages of Native Azerbaijani ASR
Superior Accuracy: Chinar-F makes 23% fewer word errors on real call-centre recordings compared to commercial cloud speech services.
Full Call Coverage: Affordable CPU/GPU processing allows for the transcription of every call for QA and analytics rather than just sampling.
Data Sovereignty: Runs on your own infrastructure, ensuring no audio leaves the building and no third-party data retention occurs.
Cost Efficiency: Eliminates per-minute cloud billing, meaning operational costs do not increase as your call volume grows.
High-Speed Processing: Performance is four to seven times faster than benchmarked cloud speech services.
Audit Readiness: Produces structured transcripts with punctuation and capitals, providing reliable evidence for compliance and audits.
Specialized Transcription Models
Chinar-L: Document Quality
Optimized for transcripts people read, this GPU-based model writes punctuation, capitals, and numbers as digits. It achieves 93–94% word accuracy on clear speech, making it ideal for interviews, meetings, and compliance records.
Chinar-P: Minimal Infrastructure
A compact model providing punctuation and capitals without requiring a GPU. It runs 26× faster than real-time on four CPU cores and performs on a par with a commercial cloud speech service for call-centre recordings.
Chinar-F: High-Volume Production
The default production model trained on real Azerbaijani call-centre audio. It is the most accurate for real calls, scoring 91% word accuracy on clear speech and running on either CPU or GPU.
The Transcription Pipeline
Frequently Asked Questions
Why is a native Azerbaijani model better than a global speech service?
Global services often mistake Azerbaijani for Turkish, producing text that looks fluent but is linguistically incorrect. Our models are built specifically for Azerbaijani, ensuring the output is actually in the correct language.
How do these models handle poor audio quality or background noise?
Unlike models trained on read speech, our models are trained on genuine call-centre recordings, meaning they are designed to handle background noise, interruptions, and standard phone-line quality.
What are the hardware requirements for these models?
It depends on your needs: Chinar-L requires a GPU for high-readability transcripts, while Chinar-F and Chinar-P can run on CPU infrastructure, with Chinar-P being optimized for minimal hardware.
Is my data secure when using these models?
Yes. Because the models run on your own infrastructure, your call audio never leaves your premises, eliminating third-party retention and cloud-based security risks.
Are there other languages supported in the future?
Currently, the focus is on native Azerbaijani, but support for Russian and mixed Azerbaijani–Russian speech is currently in development.
Experience Accurate Azerbaijani Transcription
Test hosted ASR models for free at chinar.allmaz.az to upload a recording and get an editable Azerbaijani transcript without needing an account or credit card.
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