Identification of Gender Speech Recognition by Implementation of Fuzzy Logic System
Manisha Verma · International Journal for Research in Applied Science and Engineering Technology · 2020
Speech analysis is still a challenging area in recognition, classification and retrieval and it is one of the most interesting fields in Digital Signal Processing. Many researches already done on it that is based on different scientific programsand materials tools and that produce an analysis that start from speech production, processing, coding and recognition, Chester, F.J .Taylor and M.Doyle were the first to find out analysis of speech recognition [1].In this research, identification of gender females and males speech recognition will take speech samples of the word, "Close", were used to build a system in Neural Network and Fuzzy Logic to recognize the male and female speech voice and compared between two systems, which are part of a class of universal approximations of continuous functions. The system of the fuzzy logic was developed based on three features of the speaker voice that are power spectrum of the signal ,energy value of the signal and vowel sound "O" in the word "close" in the speech samples to increase its ability in recognizing an individual speaker also system security can differentiate for intruders by making decision based on the recognition to the speech of a one person and giving a voice acceptance authority to that person and make an access denied to others to prevent accessing the system, using samples of one person against others female's and male's samples.I.