AQuA PVQA Sevana Test and Measurement

contact center end-to-end voice quality testing
Contact Center end-to-end voice quality testing value clients and agents

Forecasting voice quality using network statistics was sufficient for the days when one could control the network.

Different suppliers, networks, systems, software, hardware influence customer and agent experience. Only network metrics cannot ensure that all entities involved in the voice path work properly and give the best or satisfactory quality of caller experience (QoE).

Using network parameters to calculate MOS for cloud-based contact center and agent connection does not represent possible issues inside the cloud or voice paths connected to it.

Automation of test calls simulating caller and agent activity that will play audio file of “excellent” quality (the so-called reference audio) over the environment and record actual audio received by correspondent endpoints will give objective quality score for the whole voice path if one can compare the reference and test files for quality loss.

Sevana AQuA makes this comparison fast and easy providing reliable MOS score and reports on various quality issues that affected the caller perception. Furthermore, AQuA will pinpoint timestamps of the conversation where the problems occurred and indicate the type of impairment, which will help to identify the “faulty” part of the voice path.

This approach is useful at any stage of deployment – evaluation, piloting, transition, or production. If on demand, or scheduled voice quality scoring is not enough one can use Sevana PVQA for real-time voice quality analysis, problems alerting and reporting within the same feature of indicating impairments that affected the quality loss, but in real time.

Waveform analysis is the approach that gives objective overview on voice quality in cloud contact centers. Sevana tools perform perfectly well for voice quality measurement and analysis in the cloud.

AQuA Sevana Test and Measurement

Sevana AQuA is the most flexible too for end-to-end voice quality testing:
🖋 Testing across multiple devices and networks
Improve your system’s QoE and invest in the future – waveform analysis works seamlessly for VoLTE, VoWiFi, RCS or any other approach
🖋 Flexible integration considering every client’s requirement
Feel free to develop your own call quality monitoring solutions implemented by your own staff
🖋 Easy integration into any kind of hardware
Work on any hardware of your choice
🖋 Automated and fast testing cycle reducing operating costs
Save time and money using automated quality monitoring system
🖋 Streamline root cause analysis
Automate call quality assessment and ease problem root cause identification
🖋 Customer-oriented support
We are always happy to help save our customer’s time
Keep an eye on call quality with sevana.biz

PVQA Sevana Test and Measurement

Do you want to know about call quality issues prior your customers start complaining?

Sevana libraries collect all the QoS and QoE data of the calls in real-time, providing immediate alerting on changes that affect callers’ perception, discover and store reasons for call audio degradation.

Map audio impairments on network metrics and discover QoE and QoS patterns, specific to certain routes, destinations, originations, or parts of the traffic. Every call, analyzed by the system, creates big data that one can study, using data analysis tools, to predict network behavior and call quality.

AQuA IVR Sevana Test and Measurement

IVR prompt verification and IVR prompt test automation are quite common tasks, however, there is probably no particular tool to make it really easy. And this is because you might have not heard about Sevana AQuA.
General purpose of AQuA is to analyze quality of the test audio by comparing it with the reference of original quality. However, unlike other similar tools one can use AQuA for IVR prompt verification, because comparing different audio files will naturally result in low quality score. Using AQuA for IVR prompt verification you verify the prompt and test connection quality within the same test call.

Contact us to learn more on using AQuA for IVR prompt verification.

AQuA Sevana Test and Measurement Voice Speech Wideband Audio Quality Assessment Tools

Do you want to compare reference and test audio to evaluate the quality in your own language, but don’t have a tool?
AQuA is an audio quality analyzer that gives you even more flexibility:
✔️Language Independence – AQuA can evaluate quality of audio in any language.
✔️Long and short calls support – analyzes audio shorter than 4 seconds and longer than 30 seconds.
✔️Works with Stereo Audio – test signals may be mono or stereo, narrow, wideband and super wideband.
✔️Allows parameters profiling – configurable perceptual model that best suits your test environment.

PVQA Sevana Software Voice Speech Wideband Audio Quality Assessment Tools

Are you into conversational analysis?
Do you have millions of call recordings that you like to range based on audio quality?
Sevana PVQA is the tool that can analyze hours of recorded audio in a couple of minutes.
Request a call with our team to learn more about call recordings quality analysis and other related technologies for audio quality assessment.

Mobile QualTest Sevana Test and Measurement

Sevana QualTest is a mobile testprobe GSM VoIP application that checks current network conditions and estimates voice quality in mobile and VoIP networks. The platform is designed for end-to-end and single-end call testing, as well as for gathering and analyzing call audio quality metrics. Measure network metrics for VoIP calls and use waveform analysis to correlate audio problems with network conditions.

QualTest mobile test probe is an application for Android-powered devices that can work in both VoIP and cellular networks. A powerful tool for end-to-end and single-ended call testing. Fully functional frontend allows easy set up of tests specifying calling and called parties, reference audio and devices. Reporting shows overall quality MOS scores throughout different time periods, successful and failed test calls and speech-to-text engine provides information on call audio contents. The system works perfectly with unrooted and rooted mobile phones and analysis can be performed as on mobile device itself as well as on the devices it is connected to (e.g. Raspberry Pi in case of regular unrooted phones).