MOS SDK
Measure perceived voice and video quality directly on device. Two integrated MOS scoring engines: ViSQOL (Google Research) for voice, ITU-T P.1204.3 for video. ARM64 native, pre-trained models, JNI ready.
HiCellTek MOS SDK provides two perceptual quality scoring engines. The voice module uses ViSQOL (Google Research), a spectro-temporal ML model that produces a MOS score from 1 to 5 for VoLTE and VoNR calls. The video module implements ITU-T P.1204.3, a parametric model that evaluates video quality from stream metadata (bitrate, resolution, codec). Both modules are compiled ARM64 native with JNI interface for Android integration. Voice: EUR 4,490/year. Video: EUR 4,490/year. Bundle: EUR 6,990/year (22% discount).
Two scoring modules
Perceptual quality model developed by Google Research. Spectro-temporal analysis of the audio signal to produce an objective MOS score correlated with human subjective evaluations. Designed for VoLTE, VoNR and VoIP calls.
ITU-T P.1204.3 parametric model for video quality. Evaluates MOS from stream metadata (bitrate, resolution, framerate, codec) without full video decoding. Ideal for real-time QoE monitoring on streaming platforms.
Both modules combined with a 22% discount.
Technical specifications
Libraries compiled in C/C++ for ARM64. Real-time performance on Snapdragon: voice scoring under 50 ms per 3-second segment.
JNI (Java Native Interface) ready for Android integration. Direct calls from Kotlin or Java, no additional wrapper needed.
Optimized ML models shipped ready to use. No client-side training required. Model updates included in the annual license.
Native correlation with HiCellTek radio KPIs: MOS vs RSRP, MOS vs SINR, MOS vs jitter. Root cause identification for quality degradation.
Who is it for?
Measure perceived service quality for your subscribers on VoLTE/VoNR calls and video streaming. Identify degradation zones.
Integrate MOS scoring into your VoLTE test solutions to validate end-to-end voice quality during deployments.
Real-time QoE monitoring for OTT video services. Proactive detection of video quality degradation.
Frequently asked questions
What is the difference between ViSQOL and ITU-T P.1204.3?
ViSQOL (Google Research) is a perceptual quality model for voice and audio based on spectro-temporal analysis. ITU-T P.1204.3 is a parametric model for video quality that uses stream metadata (bitrate, resolution, codec) without requiring full video decoding.
Does the MOS SDK work in real-time on Android?
Yes. Both models are compiled as native ARM64 with optimized pre-trained models. ViSQOL scoring processes a 3-second audio segment in under 50 ms on a Snapdragon 8 Gen 2.
Can I use the MOS SDK to measure VoLTE quality?
Yes. The ViSQOL voice module is designed to evaluate VoLTE and VoNR call quality. It produces a MOS (Mean Opinion Score) from 1 to 5 correlated with human subjective evaluations.
Does the voice + video bundle offer a discount?
Yes. The bundle combines both SDKs at EUR 6,990/year instead of EUR 8,980/year separately, a 22% discount.