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Perceptual Speech Quality Measure (PSQM) is a computational and modeling algorithm defined in Recommendation ITU-T P.861 that objectively evaluates and quantifies voice quality of voice-band (300 – 3400 Hz) speech codecs.
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speech quality psqm voice algorithm codecs itu-t mos used 861 objective perceptual recommendation network measure assessment pesq results signals signal
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| time-frequency mapping | instance of | into the perceptually meaningful psychoacoustic domain through a series of nonlinear processes | 0.80 | text |
| frequency warping | instance of | into the perceptually meaningful psychoacoustic domain through a series of nonlinear processes | 0.80 | text |
| intensity warping.The quality of the coded speech is judged on the differences in the internal representation | instance of | into the perceptually meaningful psychoacoustic domain through a series of nonlinear processes | 0.80 | text |
| loudness scaling | instance of | the PSQM algorithm uses cognitive modeling | 0.80 | text |
| asymmetric masking in order to get high correlations between subjective | instance of | the PSQM algorithm uses cognitive modeling | 0.80 | text |
| objective measurements | instance of | the PSQM algorithm uses cognitive modeling | 0.80 | text |
| packet loss | instance of | effects | 0.80 | text |
| delay variation | instance of | effects | 0.80 | text |
| out-of-order delivery | instance of | effects | 0.80 | text |
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