Title :
A new algorithm for pattern recognition of voices
Author :
Seireg, Reah H. ; Barbour, Ahmed E.
Author_Institution :
Electron. Dept., Mil. Tech. Coll., Cairo, Egypt
Abstract :
An algorithm is developed to distinguish between the speech of male and female. A simple hardware device is devised to implement the algorithm. Various techniques, such as fast Fourier transform (FFT), threshold crossings (TCs), threshold crossings of the derivative of the signal, and sine-wave crossings are used to distinguish between the voices. These techniques are analyzed and compared. The results show that the sine-wave crossings technique is simple to implement, does not need normalization or differentiation of the signal to remove its DC component, and can be used for real time (online) analysis
Keywords :
fast Fourier transforms; speech recognition; fast Fourier transform; female; male; pattern recognition; real time analysis; sine-wave crossings; threshold crossings; voice recognition; Computer science; Data analysis; Educational institutions; Frequency; Hardware; Military computing; Pattern recognition; Signal analysis; Signal processing algorithms; Speech analysis;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271226
