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Dynamic Time Warping: Speech Recognition, Sequence Alignment, Hidden Markov Model -

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2026-03-15
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Dynamic time warping is an algorithm for measuring similarity between two sequences which may vary in time or speed. For instance, similarities in walking patterns would be detected, even if in one video the person was walking slowly and if in another he or she were walking more qu ... Täielik kirjeldus

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Dynamic time warping is an algorithm for measuring similarity between two sequences which may vary in time or speed. For instance, similarities in walking patterns would be detected, even if in one video the person was walking slowly and if in another he or she were walking more quickly, or even if there were accelerations and decelerations during the course of one observation. DTW has been applied to video, audio, and graphics - indeed, any data which can be turned into a linear representation can be analyzed with DTW. A well known application has been automatic speech recognition, to cope with different speaking speeds.

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Kirjastaja OmniScriptum
Väljalaskeaasta 2026
Kaanetüüp Pehme kaanega
EAN 9786131358555
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117,44 € 195,73 €