Speech Recognition and Retrieving using Fuzzy Logic System
Arjuwan M. Abduljawad Al-Jawadi · 2009
Speech Analysis is one of the most interesting fields in Digital Signal Processing in which many researches have been done on it based on different materials tools and scientific programs to produce an analysis that start from speech production, processing, coding and recognition, Chester, F.J .Taylor and M.Doyle were the first to apply the analysis of speech signal [1]. In this research, females and males speech samples of the word, 'Close', were used to build a system in Neural Network and Fuzzy Logic to recognize the male from female speech voice and compared between the results of the two systems, then the system of the fuzzy logic was developed based on three features of the speaker voice which are energy value of the signal ,power spectrum of the signal and vowel sound “O” in the word close in the speech samples to increase its ability in recognizing an individual speaker and to increase system security against intruders by making the system recognizes the speech of a one person giving a voice acceptance authority to that person and make an access denied to others to prevent accessing the system. The system shows good results during testing operation using samples of one person against others female's and male's samples.