DocumentCode
1619041
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
fYear
1992
Firstpage
707
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0510-8
Type
conf
DOI
10.1109/MWSCAS.1992.271226
Filename
271226
Link To Document