What is call-center speech analytics?
What is call-center speech analytics? A clear explanation for Azerbaijani business — and how Stentor applies it.
What is Call-Center Speech Analytics?
Call-center speech analytics is the automated process of converting recorded or live agent-customer conversations into structured, searchable data. By applying advanced linguistic and AI-driven analysis, businesses can surface critical insights that typically remain buried in thousands of hours of audio files. The process involves transcribing every word, identifying individual speakers through diarisation, and scoring the resulting text for quality, sentiment, and compliance risk, transforming raw audio into a strategic asset for operational improvement. For Azerbaijani businesses, Stentor by Allmaz addresses the unique challenges of the local market with a purpose-built speech engine. Unlike traditional quality assurance that relies on random sampling, Stentor analyses 100% of calls, ensuring no critical customer interaction is missed. The system is specifically engineered to handle the linguistic realities of the region, accurately processing mixed Azerbaijani and Russian speech to provide a comprehensive and precise view of contact center performance.
Strategic Advantages of Speech Analytics
Total Call Visibility: By analysing 100% of conversations, you eliminate the blind spots and biases inherent in manual spot-checking and random sampling.
Proactive Complaint Management: Automated detection of negative sentiment and escalation signals allows supervisors to intervene before customer issues compound.
Standardised Quality Scoring: Agent performance is measured via objective, consistent metrics across all calls, removing the subjectivity of ad-hoc manual reviews.
Automated Compliance Auditing: Calls are screened for regulatory risks and script adherence, creating a reliable, auditable record for risk management.
Optimised Local Language Accuracy: A speech engine built for Azerbaijani and mixed AZ/RU conversations ensures high transcription precision and reliable insights.
Enterprise-Grade Data Sovereignty: A single-tenant private cloud architecture ensures sensitive call data remains within your environment with zero data egress.
Core Capabilities of Stentor
100% Call Transcription
Every inbound and outbound call is automatically transcribed in full. No sampling thresholds, no manual selection — the entire call archive becomes searchable text.
Speaker Diarisation
The system separates and labels each speaker in a conversation, so agent talk-time, interruptions, and silence periods can be measured independently and accurately.
Sentiment & Complaint Detection
Linguistic models scan transcripts for negative sentiment patterns and complaint language in real time, surfacing high-risk calls for immediate supervisor attention.
Hybrid QA Scoring
Quality scores are produced by combining rule-based checks, semantic AI evaluation, and optional human override — giving teams both consistency and the flexibility to apply expert judgement.
Purpose-Built Azerbaijani Speech-to-Text
The underlying speech engine is designed specifically for Azerbaijani, including the code-switching between Azerbaijani and Russian that is common in local contact centers.
Single-Tenant Private Cloud
All processing and storage occur within a dedicated environment. Call recordings and transcripts never leave your infrastructure boundary, supporting data sovereignty requirements.
The Stentor Analysis Workflow
Frequently Asked Questions
Does Stentor analyse every call or only a sample?
Stentor analyses 100% of calls. Unlike manual QA processes that review a small random sample, every conversation is transcribed, diarised, and scored automatically to ensure total visibility.
How does the system handle Azerbaijani mixed with Russian?
Stentor uses a speech-to-text engine purpose-built for Azerbaijani that is specifically designed to handle the mixed AZ/RU speech patterns common in local contact centers, significantly improving accuracy over general-purpose engines.
Where is our call data stored and processed?
All data is processed and stored within a single-tenant private cloud environment dedicated to your organisation. There is no data egress, meaning recordings and transcripts never pass through shared or external infrastructure.
What does hybrid QA scoring mean in practice?
Hybrid QA scoring combines three layers: rule-based checks for specific phrases, semantic AI for overall quality standards, and human override for expert contextual judgement. This ensures both consistency and flexibility.
Can Stentor detect compliance risks automatically?
Yes. The system is configured to automatically flag calls that exhibit compliance risk signals, such as missing mandatory disclosures or specific language patterns associated with formal complaints.
Experience Stentor in Your Contact Center
Ready to move beyond random sampling and get a complete, accurate picture of every customer conversation? Contact the Allmaz team to arrange a demonstration of Stentor tailored to your contact center's language, compliance, and quality requirements.
Request a demo