| 摘要 |
FIELD: analysis and recognition of speech signals. ^ SUBSTANCE: in accordance to method, during recognition training of system generated are standard bispectral signs of phonemes - position of bispectral module maximums of sound signals and amplitude of bispectral module maximums of sound signal, and also standard signs of words, represented by sets of averaged time spans from the beginning of word to end and ending of all phonemes and pauses in word, and during recognition speech signal, appropriate for word interval, is divided on segments, formed wherein are bispectral signs - position of bispectral module maximums of sound signals and amplitude of bispectral module maximums of sound signal, compared to first and second solution taking criterions. Formed from solutions about recognized phonemes taken in process of comparison on all segments are two series of solutions about recognized phonemes, selected from which are most frequently encountered solutions (letter codes of phonemes), forming a set of letter codes of phonemes of word being recognized. During comparison of a set of letter codes of phonemes of recognized word to sets of letter codes of phonemes of all words of dictionary with consideration of all standard signs of words formed is array of values of recognition coefficients, equal to amount of coinciding letter codes of phonemes and codes of pauses and decision about recognition of word is taken in favor of the word of dictionary, during comparison to which maximal recognition coefficient was produced. ^ EFFECT: increased precision of recognition of spoken words. ^ 8 dwg |
