Speaker Dependent Speech Recognisation System Using Wavelet Transform - Satpathy, Pinaki
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MATLAB's straight forward programming interface makes it an ideal tool for speech analysis. In this work, experience was gained in general MATLAB programming. A basic speaker recognition algorithm has been written to sort through a rule base in MATLAB and choose the one most likely match based on the pre define time frame of the speech utterance. Speech communication has evolved to be efficient and robust and it is clear that the route to computer based speech recognition is the modelling of the human system. Speaker dependent speech recognition is therefore an engineering compromise between…mehr

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Produktbeschreibung
MATLAB's straight forward programming interface makes it an ideal tool for speech analysis. In this work, experience was gained in general MATLAB programming. A basic speaker recognition algorithm has been written to sort through a rule base in MATLAB and choose the one most likely match based on the pre define time frame of the speech utterance. Speech communication has evolved to be efficient and robust and it is clear that the route to computer based speech recognition is the modelling of the human system. Speaker dependent speech recognition is therefore an engineering compromise between the ideal, i.e. a complete model of the human, and the practical, i.e. the tools that science and technology provide and that costs allow the modelling of the human system.
Autorenporträt
P. Satpathy, currently working as an Assistant Professor in the department of ECE at HIT, Haldia, India. He has received his B.Tech from BPUT, Orissa in the year 2005 and M.Tech from WBUT Kolkata in the year 2010. His research interests include Low Power VLSI Design, Digital VLSI Design, MOSFET Modeling. He has more than 5 International publication