A new algorithm for pattern recognition of voices

Autor: A.E. Barbour, R.H. Seireg
Rok vydání: 2003
Předmět:
Zdroj: [1992] Proceedings of the 35th Midwest Symposium on Circuits and Systems.
DOI: 10.1109/mwscas.1992.271226
Popis: 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. >
Databáze: OpenAIRE