Sorting of autocorrelation portrais to accelerate speech commands recognition

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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

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