Glossary · Stentor

What is voice activity detection?

What is voice activity detection? A clear explanation for Azerbaijani business — and how Stentor applies it.

Advanced Voice Activity Detection

Voice Activity Detection (VAD) is a critical technology used to distinguish human speech from silence or background noise within an audio stream. By precisely identifying when a person is speaking, businesses can eliminate irrelevant audio data, allowing for more efficient processing and higher accuracy in the transcription and analysis of customer interactions. Integrating VAD into a broader voice analytics framework enables organizations to transform raw audio into actionable intelligence. By isolating speech from environmental noise, the system ensures that subsequent transcription and sentiment analysis are based on clean data, providing a reliable foundation for monitoring compliance and improving customer experience.

Capabilities

Advantages of Automated Voice Analysis

Total visibility across all interactions by analyzing 100% of calls without relying on sampling

Proactive risk management through the automated detection of complaints and compliance risks

Deep customer insights via sentiment tracking to identify and address negative experiences

High linguistic accuracy for local markets with specialized handling of mixed Azerbaijani and Russian speech

Enterprise-grade security provided by a single-tenant private cloud with no data egress

Precise quality assurance through a hybrid scoring model combining AI and human oversight

Core Capabilities of Stentor

Comprehensive Transcription

Every conversation is transcribed and diarized to provide a clear record of who said what.

Localized Speech-to-Text

Purpose-built for the Azerbaijani language, specifically designed to handle mixed AZ/RU speech.

Hybrid QA Scoring

Combines rule-based logic, semantic AI, and human override for precise quality assurance.

Private Cloud Deployment

Ensures data sovereignty with a single-tenant environment and no data egress.

How Stentor Processes Voice Data

1Captures 100% of call audio without relying on random sampling.
2Applies voice activity detection to isolate speech from background noise.
3Transcribes and diarizes the conversation using Azerbaijani-specific speech-to-text.
4Analyzes the text for negative sentiment, complaints, and compliance risks.
5Scores the interaction using a hybrid model of AI and human verification.

Frequently Asked Questions

Does the system only analyze a portion of my calls?

No, the system analyses 100% of calls, eliminating the need for sampling and ensuring no critical interaction is missed.

Can it handle conversations where speakers switch between languages?

Yes, the system is purpose-built for the Azerbaijani market and is specifically designed to handle mixed Azerbaijani and Russian speech.

How is the quality of the calls scored?

Scoring is managed through a hybrid QA approach that integrates rule-based systems, semantic AI, and the ability for human override to ensure accuracy.

Is my data shared with other clients or external vendors?

No, the system operates on a single-tenant private cloud with no data egress, ensuring your data remains isolated and secure.

What specific risks can the system detect in conversations?

The system is designed to automatically detect customer complaints, negative sentiment, and potential compliance risks across all analyzed calls.

Optimize Your Voice Analytics

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