Do you have a hardware solution that records RTP call traffic in real-time? Enable QoE analysis to real-time RTP recording.

Are you happy with the E-Model quality scoring? Try out our user experience metrics. This will give you a competitive advantage and won’t take much effort for integration. Matching network conditions (E-Model, packet loss etc) with user experience (our analysis is based on actual call audio) will give you full picture on your network and user quality of experience (QoE).

Call center agents quality monitoring: do you have a call center that records customer calls and your agents complain about call quality?

Figuring out call quality issues, problematic routes might be much easier with Sevana PVQA technology.
Setting up massive call recording analysis is a matter of a couple of minutes. In return one receives audio quality score (MOS) and report on audio impairments that influenced the call quality.
By the end of the analysis, you will have full picture on the calls that had most of the problems in quality and potential reasons for them. Interested in receiving this information in real-time? This just simple with PVQA technology implemented for real-time traffic analysis. Contact us for more information.

How to setup real-time RTP monitoring?

One can easily setup real-time RTP monitoring using Sevana PVQA Server to receive information on calls with QoS (packet loss, jitter etc) and QoE (noise, dead air, echo etc) issues.

Unlikely other systems PVQA Server provides two quality metrics represented as two MOS scores: E-Model based MOS and PVQA MOS derived from call audio analysis.

With detailed statistics one can even figure out at what time of the call noise, echo, clipping or e.g. clicking took place.

Real-time alerting will immediately notify about quality issues of the monitored traffic. Book a demo here.

Real-time network statistics and KPIs one can benefit from using PVQA Server

Learn about network MOS and variety of waveform KPIs related to impairments that affect voice quality in real-time
📞 Agility
Add proactive maintenance layer based on PVQA call quality monitoring and let your support engineers be notified when call quality issues prevail in conversation
⠀📞 Quality issue root-cause discovery
Based on impairments analysis speed up problem root-cause identification, discover packet loss patterns inside the call audio
⠀📞 Flexible setup
Integrate PVQA library into existing system or create a new one suitable for any hardware and OS
Keep an eye on call quality with Sevana!


What are Sevana call quality testing offerings?
We are happy to offer all kinds of tools to test call quality in any network: VoIP, GSM, 5G, satellite
🔹 Vast call quality monitoring both on audio and protocol levels
🔹 Passive real-time and active scheduled call quality analysis
🔹 Call quality problem root cause analysis
🔹 Reliable network and payload MOS
🔹 Mobile-to-mobile call quality tests

Being a multipurpose tool for voice quality analysis PVQA Server can be the core of a quality analysis and monitoring system to detect and investigate QoE and QoS related issues. PVQA Server combines the force of audio waveform analysis using PVQA technology with continuous network monitoring:
🔎Real-time call quality monitoring
🔎Proactive maintenance based on non-intrusive waveform analysis
🔎Monitoring network and media quality simultaneously
🔎Matching network metrics (RTT, jitter, latency, packet loss) with payload metrics (noise, clipping, dead air, echo etc)

Voice quality is the term used to describe the clarity of your voice. It’s more than just the sound of your voice—it also includes things like background noise and interference, which can have an adverse effect on how well your voice is heard. This makes passive voice quality testing and analysis and important part of modern communications.

Sevana AQuA and PVQA libraries collect all the data related to impairments that may affect voice quality in real-time providing immediate alerting and storage of all metrics related to call audio degradation. Audio impairments one can map on network parameters (jitter, packet loss, RTT delay) that will form patterns related to certain routes, destinations, originations. Every call analyzed by the system creates data that one can study using bigdata analysis tools to predict network behavior and call quality.

Silent Call – one leg of the voice call has no speech
Echo – this is typically due to a blockage or mismatch, which results in the signals bouncing back from where they came. Additionally, the presence of echo effect in packet switched networks can be traced back to the functionality of the line. Where standard lines function with a delay of 10 milliseconds, packet switched networks can have up to 400 milliseconds of delay. As a result, the echo effect is much more noticeable.
Amplitude clipping – is typically a result of a misconfigured voice gateway on the voice path.
Dynamic clipping – notifies about possible clipping happening in another network as the audio waveform looks like amplitude clipping, however, it is not present at the moment.
VAD clipping – this impairment detects incorrect work of Voice Activity Detector (VAD). Detector finds edges of active and inactive fragments of the signal considering VAD worked too late (in the beginning of the speech) or too early (in the end of the speech).
Click – is a single energy spike in the spectrum of the audio, which may happen for different reasons.
DeadAir-01 – is a zero-signal level inside speech, a gap in speech that may be caused by different reasons.
DeadAir-00 – is a constant signal level inside speech and may have positive and negative value.
SNR – this means that noise level present in the call affects human perception and disturbs the caller.

Within impairments analysis one can not only detect impairments that degraded voice quality in real-time, but in case of post call analysis pinpoint actual time period when certain impairment took place (as it is specified on the picture, Poor intervals are marked with the same color the impairment detectors that triggered the problem, e.g. Echo)

Further more, big data analysis of reports generated by PVQA help to identify impairment patterns specific for certain problems in the networks, e.g.

Click + DeadAir-01 – high probability that packet loss affected the call audio
Click + VAD clipping – possible packet loss

Contact us to have full demo on PVQA analysis or PVQA Server functionality.