This is the easiest way to compare two audio files and evaluate voice quality between reference and test files. AQuA is perhaps the most flexible tool for end-to-end voice quality analysis on the market.
The human ear is a non-linear system, which produces an effect named masking. Masking occurs on hearing a message against a noisy background or masking sounds. AQuA perceptual model is based on research of four different scientists who discovered influence of different frequency bands (the so-called critical bands) to human perception.
The value of spectrum energy in frequency bands can be used for different purposes; one of which is the sound signal quality estimation. However, using only critical bands discovered by one scientist does not allow getting an estimation objective enough, since they show only one of the aspects of perception or speech production. AQuA can determine energy in various critical bands as well as in logarithmic and resonator bands, that allows taking into account more properties of hearing and speech processing.
MOS score according to P.800 – reliable objective
MOS scores from 1 to 5
Percentage of sound quality similarity between reference and test audio
Duration distortion
Delay or advancing of audio signal activity
Sound signal activity mistiming
Signal spectrum damages
Signal spectrum vibration
Unidirectional signal spectrum analysis: amplification or attenuation
Most affected signal spectrum: low, medium, high bands
Average pitch
Pitch deviation
Pitch frequencies distribution distortion
Quantization steps distribution distortion
Amplitude clipping level
RMS
Sound signal: Minimum Energy, Maximum Energy, Average Energy
Sound signal: Min. Sample, Max. Sample, Average Sample
Based on PVQA technology AQuA discovers impairments in test audio that influenced audio quality degradation and were not present in the reference.
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