FIELD: physics.
SUBSTANCE: method for machine estimation of speech transmission quality involves loading an audio signal into computer random-access memory. Active and inactive fragments in the signal are picked up. Spectra are calculated for each phase, which are then divided into critical bands and spectral parameter values are calculated for each critical band, wherein signal parameters are calculated in the spectral as well as in time domain. Active phase fragments which correspond to tone dialling are excluded from processing before dividing into critical bands. The spectra undergo multilevel psycho-acoustic filtration. The obtained parameters of the processed signal are compared with associations stored in a data base and the association closest on all parameters to the processed signal is selected. The speech quality estimate is determined as the sum of weighted values of the degree of closeness.
EFFECT: providing machine estimation of a speech signal by comparing parameters of the processed signal with speech models stored in a data base of associations.
4 cl, 8 dwg, 5 tbl
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Authors
Dates
2011-11-27—Published
2010-08-09—Filed