FIELD: physics, computer engineering.
SUBSTANCE: invention relates to speech analysis systems and can be used to determine the emotional state of a person from voice, which can be used in criminal science, medicine, access control systems etc. The method includes recording a speech signal and subsequent processing thereof, which includes calculating integral transformation coefficients via convolution of the speech signal with a transformation nucleus and subsequent analysis of the obtained coefficients based on a discernibility metric. The integral transformation coefficients are coefficients of a local wavelet spectrum of continuous wavelet transformation of the speech signal, and the discernibility metric is the Euclidean disparity between local spectra of continuous wavelet transformation.
EFFECT: high reliability and reproducibility of estimates of the emotional state of a speaker.
2 cl, 1 dwg
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