Glossary · Chinar

What is automatic speech recognition (ASR)?

What is automatic speech recognition (ASR)? A clear explanation for Azerbaijani business — and how Chinar applies it.

Professional Azerbaijani Automatic Speech Recognition

Automatic Speech Recognition (ASR) is the technology that converts spoken language into written text. For the Azerbaijani market, generic global speech services often fail, either producing unusable output or returning fluent, confident text in Turkish that can mislead those unfamiliar with the language. To overcome these limitations, true Azerbaijani ASR must be built specifically for the language's unique phonetic and linguistic structures rather than being adapted from related languages, ensuring that transcripts are accurate, usable, and linguistically correct. Our solution provides a specialized suite of models trained on genuine Azerbaijani phone audio, including the background noise, interruptions, and overlapping speech typical of real-world call centers. By moving beyond read speech and focusing on actual phone-line quality, we enable businesses to achieve full call coverage. This allows for comprehensive quality assurance, deep archive searching, and robust evidence for compliance and audit, all while maintaining total control over data residency.

Capabilities

Strategic Advantages of Localized ASR

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Full call coverage for QA, analytics, and audit evidence without relying on small samples

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Absolute data privacy and security as audio remains on your own infrastructure with no third-party retention

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Significant cost reduction by eliminating per-minute cloud billing; costs do not grow with call volume

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Superior accuracy on real-world phone audio, outperforming commercial cloud services on call-center recordings

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High-speed processing, performing four to seven times faster than benchmarked cloud speech services

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Enhanced operational visibility through the ability to search and analyze entire call archives

Specialized Models for Every Infrastructure

Chinar-F: High-Volume Production

The default production model and most accurate for real calls. This compact transducer is trained on real Azerbaijani call-center recordings, making 23% fewer word errors than a commercial cloud speech service and scoring 91% accuracy on clear speech.

Chinar-L: Document-Ready Transcripts

Optimized for interviews and meetings where transcripts end up in summaries or compliance records. This GPU-based model writes punctuation, capitals, and digits, achieving 93–94% word accuracy on clear Azerbaijani speech, measured against human-checked transcripts.

Chinar-P: Minimal Infrastructure

A compact model designed for sites without a GPU. It provides punctuation and capitals, runs 26x faster than real-time on four CPU cores, and performs on a par with a commercial cloud speech service.

The Path from Audio to Insight

1Audio is captured from phone lines or recordings, including real-world noise and interruptions.
2The audio is processed by a selected model (F, L, or P) based on your specific infrastructure and accuracy requirements.
3The ASR engine converts the Azerbaijani speech into a written transcript using models built specifically for the language.
4The text is formatted with punctuation, capitals, or digits if the L or P models are utilized.
5The final transcript is integrated into your workflow for compliance, summaries, or quality assurance.

Frequently Asked Questions

Why are global cloud speech services insufficient for Azerbaijani?

Many global services do not actually support Azerbaijani. In tests, some produce unusable output, while others return fluent Turkish text that appears correct to non-speakers but is linguistically wrong.

How does the system handle low-quality phone audio?

Unlike models trained on read speech, our models are trained on genuine call-center recordings, meaning they are designed to handle background noise, overlapping speech, and standard phone-line quality.

How is data privacy managed in this deployment?

The system runs on your own infrastructure. No call audio leaves your building, there is no third-party data retention, and you avoid the risks associated with cloud-based processing.

Can I test the ASR capabilities before implementation?

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.

Which model should I choose for my business?

Choose Chinar-F for high-volume call center accuracy, Chinar-L for high-quality documents and summaries (requires GPU), or Chinar-P for fast processing on CPU-only infrastructure.

Ready to Transform Your Voice Data?

Implement professional Azerbaijani ASR on your own infrastructure to achieve full call visibility and total data control.

Request a demo