FIELD: physics.
SUBSTANCE: invention refers to means of human emotion recognition by voice signal analysis. Intensity of the voice and the timbre determined by the rate at which the voice appears is detected. Intonation is detected as a time value, which reflects a pattern of change in intensity in each word, performed by voice, based on the input voice signal. First change value is obtained, which indicates change in the intensity of the detected voice in the direction of the time axis, a second change value indicating change of voice timbre in the direction of the time axis, and a third change value indicating change of voice intonation in the direction of the time axis. Frequency of the fundamental tone of the voice signal is detected, and a fourth change value is obtained, which indicates the change in frequency of the fundamental tone in the direction of the time axis. Value of the voice harmonization coefficient is detected to obtain a fifth change value indicating a change in the voice harmonization coefficient in the direction of the time axis. Signals are generated expressing the emotional state of anger, fear, sadness, pleasure, anxiety, depression, aggression, autoaggression.
EFFECT: technical result consists in improvement of accuracy of human psychoemotional state determination.
1 cl, 1 dwg, 2 tbl
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Authors
Dates
2020-04-15—Published
2019-06-19—Filed