AQuA perfectly suits IVR systems testing when one has a reference audio (original quality IVR prompt) to compare with the recorded audio. But how to validate IVR prompt quality if there is no reference to compare with? However, there is a possibility to validate IVR prompt quality even without comparison by using Sevana PVQA. It is just the same way as one analyzes voice quality of call recordings, because PVQA can forecast a quality score by waveform analysis of a single audio file. Contact us to learn more!

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.

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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.

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.

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We would like to announce pre-release of new versions of AQuA and PVQA that introduce Machine Learning engine integrated into both technologies. With these new tools our customers now can train perceptual models of AQuA and PVQA to provide MOS (Mean Opinion Score) scores that better conform real user quality of experience. Please contact us for demonstration and evaluation.

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