Identification of Sex of the Speaker With Reference To Bodo Vowels: A Comparative Experimental Study

This work presents an application of Fundamental Frequency (Pitch), Linear Predictive Cepstral Coefficient (LPCC) and Mel Frequency Cepstral Coefficient (MFCC) in identification of sex of the speaker in speech recognition research. The aim of this article is to compare the performance of these three methods for identification of sex of the speakers. A successful speech recognition system can help in non critical operations such as presenting the driving route to the driver, dialing a phone number, light switch turn on/off, the coffee machine on/off etc. apart from speaker verification-caste wise, community wise and locality wise including identification of sex. Here an attempt has been made to identify the sex of Bodo speakers through vowel utterance by following Pitch value, LPCC and MFCC techniques. It is found here that the feature vector organization of LPCC coefficients provides a more promising way of speech-speaker recognition in case of Bodo Language than that of Pitch and MFCC.