Title :
Isolated Malayalam digit recogntion using Support Vector Machines
Author :
Kurian, Cini ; Firoz Shah, A. ; Balakrishnan, Kannan
Author_Institution :
Dept. of Comput. Applic., Cochin Univ. of Sci. & Technol., Cochin, India
Abstract :
Voice is the natural communication system used by all beings, human beings in particular. Understanding and recognizing human uttered voice for various applications is the core technology of "information" age. Automatic speech recognition has wide spread applications in real life situations. Here speech recognition of Malayalam isolated digit is created by using Mel Frequency Cepstral Coefficients (MFCC) and Support Vector Machines. (SVM).
Keywords :
cepstral analysis; natural language processing; speech recognition; support vector machines; automatic speech recognition; isolated Malayalam digit recognition; mel frequency cepstral coefficients; natural communication system; support vector machines; Computational modeling; Discrete Fourier transforms; Mel frequency cepstral coefficient; Rails; Speech; Speech processing; Malayalam language; Mel Frequency Cepstral coefficient; Speech recognition; support vector machine;
Conference_Titel :
Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4244-7769-2
DOI :
10.1109/ICCCCT.2010.5670751
