Development of Speech recognition technique for Marathi numerals using MFCC & LFZI algorithm
Deepali Malewadi, Gouri Ghule · 2016
India is a multilingual country, so a very less amount of work is done on the Regional languages. Marathi is one of the important regional language of Maharashtra. New interface system with high precision are in progress of development by researchers. This paper presents Speech recognition by collection of database of isolated Marathi numerals ranging from zero (shunya) to nine (nau) which is implemented using two feature extraction techniques Mel Frequency Cepstral Coefficient (MFCC) and Low pass Filter Zero Interpolation (LFZI). The uttered speech samples of Marathi numerals are recorded of both male and female for about 1 sec of duration. A database of total 1000 samples is collected and preprocessing is done on each sample and further implementation that is feature extraction and classification is carried out by the MATLAB. LFZI is one of the discrete wavelet transform method. It has numerous applications such as bank cheque processing, passport number, postal zip code, for physically impaired people.