PVQA – Passive Voice Quality Analyzer, a tool for passive call quality analysis

PVQA – Passive Voice Quality Analyzer alternative for P.563 and P.564 is a unique powerful tool to non-intrusively evaluate voice quality by waveform analysis

We all are sometimes victims of calls with terrible echo, muffled sound, poor call quality or disturbing background noise. Without audio quality testing, you may never find that your client or client’s user is facing quality of experience problems even after deploying your new VoIP system, this is where our product Passive Voice Quality Analyzer (PVQA) comes in.

PVQA MOS score is perhaps the most accurate compared to other tools that predict MOS score non-intrusively by waveform analysis. PVQA module in intrusive audio quality analyzer AQuA extends quality report by information on audio impairments that influenced listener’s perception.

 Tool performance and ability to work in real-time give companies an opportunity to develop their own voice quality testing solutions not being dependent on particular hardware and software.

PVQA is a available as a cross platform application or library (C++ or Python interface) for all main desktop and mobile operating systems.

PVQA utilized by:
  • •  Mobile operators
  • •  Telecom service providers
  • •  3G, 4G/LTE, 5G test and measurement
PVQA suitable for:
  • •   Call quality monitoring
  • •   Proactive maintenance based on QoE metrics
  • •   Ease of root cause analysis for quality problems
  • •   Call quality impairments pattern discovery
  • •  Passive Voice Quality Analyzer is an alternative for ITU-T P.563

What is Sevana PVQA?

Features

PVQA can help you:

Evaluate call quality by reliable MOS score

Detect packet loss by payload analysis

Discover silent and noisy calls in the traffic

Detect dead air

Discover echo and VAD clipping

Notify about amplitude clipping in voice traffic

Requirements

PVQA can work with audio files represented in uncompressed .wav format of telephone quality. Audio files should be 8kHz or 16kHz, 16 bit, Mono. Please contact us if interested in working with other file formats, higher sampling rate, or codecs compatibility.

Scientific Background

Perfect sound quality in telecommunication systems is guaranteed by absence or insignificant influence of impairments affecting encoding, transmission and amplification. Perceptual model of PVQA is based on detecting voice quality impairments known to degrade quality of audio for human perception. At first stage the software detects impairments and at the second stage uses proprietary algorithms to convert them into MOS score prediction according to ITU-T P.800 standard.

VoIP testing

FOR YOUR CALL QUALITY MONITORING NEEDS

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