Title :
DSP based improved Speech Recognition system
Author :
Daphal, Swapnil D. ; Jagtap, Sonal K.
Author_Institution :
Electr. & Telecommun. Dept., SKN Coll. of Eng., Pune, India
Abstract :
Processing of large amount of data is an important aspect of Speech Recognition (SR). However, to formulate speech recognition system in small devices is not simple. This paper suggests Digital Signal Processor (DSP) based speech recognition system with improved performance in terms of recognition accuracies and computational cost. The comprehensive survey of various approaches of feature extraction, like Mel Filter Banks with Mel Frequency Cepstrum Coefficients (MFCC) and Cochlear Filter Banks (CFB) with Zero-crossings is given. Amongst various feature classification techniques, the suitability of the Support Vector Machine (SVM) classifier for the proposed system is significant.
Keywords :
channel bank filters; signal classification; speech recognition; support vector machines; CFB; DSP; DSP based improved speech recognition system; MFCC; Mel filter banks; Mel frequency cepstrum coefficients; SR; SVM classifier; cochlear filter banks; computational cost; digital signal processor; feature classification techniques; feature extraction; recognition accuracies; support vector machine classifier; zero-crossings; Accuracy; Feature extraction; Filter banks; Mel frequency cepstral coefficient; Speech; Speech recognition; Support vector machines; CFB; DSP; Feature Classification; Feature Extraction; MFCC; SVM; Speech Recognition; Zero-crossings;
Conference_Titel :
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4577-2077-2
DOI :
10.1109/ICCICT.2012.6398181
