Design and Development of Automatic Speech Recognition of Marathi Numerals
Yogesh K. Gedam · Asian Journal of Computer Science And Information Technology · 2014
Speech is the way of communication of human being in this world. It is need to develop a system which can interface with computer. For speech recognition feature extraction technique and the feature matching technique are used. For the feature extraction, we used MFCC and for feature matching and the classification we used the Support Vector Machine (SVM) technique. We used PCA for dimension reduction. Database collected is in the form of ‘.wav’ file. The data collected is of Marathi numbers starting from Shunya (One) to Nau (Nine). Data is divided into male and female speakers. It is recorded in noisy environment. Feature are extracted and then classified with SVM. This paper is describes the speech recognition of Marathi digits.