Sorting of autocorrelation portrais to accelerate speech commands recognition
Автор: Erofeev Alexander, Krasheninnikov Viktor
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Статья в выпуске: 6-2 т.16, 2014 года.
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We investigate a method to accelerate the recognition algorithm of the speech signal using the phase prior exclusion from consideration deliberately mismatched autocorrelation portraits of voice commands. At the stage of pre-processing for each portrait created a small copy of which is used for a quick decision on the similarity with the reference team delivered. In the case of a positive decision, a comparison of the full-size image is performed. Application of the algorithm has reduced the maximum time command recognition twice, while maintaining the efficiency of recognition.
Speech commands recognition, noise, autocorrelation portrait, standard, pre-sorting
Короткий адрес: https://sciup.org/148203558
IDR: 148203558