
MetricServer
“Offline bulk voice and audio quality analysis with industry-standard algorithms.”
What is MetricServer?
MetricServer is Opale Systems’ voice and audio quality analysis platform, designed to process large volumes of speech files through industry-standard algorithms such as POLQA®, PESQ, VISQOOL, and PEAQ.
It provides Mean Opinion Score (MOS) and detailed QoE indicators, enabling service providers, integrators, and mobile carriers to monitor and troubleshoot voice and audio performance in telecom networks and test environments.
MetricServer integrates seamlessly with proprietary test systems via a Python-based API, making it a scalable and flexible tool for automated QoE validation and codec troubleshooting.
Key Features
- Standards-Based Analysis
o Supports ITU algorithms: POLQA®, PESQ for speech, PEAQ for audio, VISQOOL for perceptual quality, DTMF integrity. - Comprehensive QoE Metrics
o MOS, latency, percentage of speech loss, speech/noise levels.
o Frame-by-frame analysis for pinpointing artifacts and degradations. - Speech Performance Analysis (SPA)
o Unique feature providing waveform-level troubleshooting.
o Identifies codec issues, time offsets, and speech loss causes. - Scalability
o Processes 50,000+ speech files per day.
o Optimized for large-scale regression testing or operator-grade QoE monitoring. - Flexible Integration
o Python API for automation in proprietary systems.
o Web user interface for direct analysis and reporting.
Benefits for the Client
- Ensure service quality – monitor and validate VoIP, VoLTE, and 5G voice performance.
- Troubleshoot codec problems – identify exact causes of poor MOS scores.
- Automate testing workflows – seamless integration into CI/CD or operator test systems.
- Scale efficiently – analyze tens of thousands of samples daily.
- Enhance user experience – provide accurate QoE metrics for optimization and SLA compliance.
Why MetricServer is Different
- Exclusive SPA feature – deep frame-by-frame troubleshooting unmatched by standard MOS tools.
- Multi-standard support – covers both voice and music quality metrics.
- Platform-independent integration – Python API for easy adoption.
- Carrier-grade scalability – designed for operators and large test labs.
- True end-user perspective – analysis reflects real perceived quality.
Typical Use Cases
- Post-processing QoE analysis of degraded speech files captured during field or lab tests.
- Automated MOS validation for VoIP/VoLTE services.
- Codec performance benchmarking under different network conditions.
- SLA and regulatory reporting for telecom operators.
- Troubleshooting voice quality in mobile and fixed networks.
Services & Support (What We Offer)
- QoE Assessment – evaluate voice and audio quality in networks or labs.
- Deployment Services – integrate MetricServer into operator or vendor test environments.
- API Workshops – customize Python scripts for automated workflows.
- Optimization Services – configure thresholds and regression analysis.
- Managed QoE Analysis – deliver MetricServer insights as-a-service.

