Algorithm for automatic classification of speech segments on based on autocorrelation and energy characteristics
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Abstract
The article is devoted to the speech segmentation algorithm by vocal features, based on specifics of autocorrelation function and energy distribution over frequency domain. The algorithm’s classification characteristics are high enough and independent of definite speech base, what demonstrates the proposed algorithm advantage compared to algorithm made for processing of voice with definite characteristics. The operational results with various male and female utterances are considered.
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