The book in hand provides the reader with the basics of speech as well as in-depth technicalities of accurate recognition by use of two different artificial intelligence techniques. The literature review presented in a number of chapters, refines user's concepts about the phonetics and mel frequency ceptstral cofficients that characterize speech as well as voice. These coefficients are then operated upon in MATLAB for analysis and classification to one of the predefined classes of a trained system. After reading this book ...
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The book in hand provides the reader with the basics of speech as well as in-depth technicalities of accurate recognition by use of two different artificial intelligence techniques. The literature review presented in a number of chapters, refines user's concepts about the phonetics and mel frequency ceptstral cofficients that characterize speech as well as voice. These coefficients are then operated upon in MATLAB for analysis and classification to one of the predefined classes of a trained system. After reading this book thoroughly the user will be able to conclude that the efficiency of recognition is enhanced when two artificial intelligence or classification techniques, called Linear Discriminant Analysis and Support vector machines, concatenate. This book also gives brief knowledge about the Mercer Kernel, k-nearest neighbor and many other technical concepts.
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Add this copy of Speech Recognition With Efficient Use of Support Vector to cart. $98.99, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2012 by LAP LAMBERT Academic Publishin.
