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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.
