Title :
Speech enhancement by Fourier-Bessel coefficients of speech and noise
Author :
Gurgen, F.S. ; Chen, C.S.
Author_Institution :
Dept. of Electr. Eng., Akron Univ., OH, USA
Abstract :
The speech enhancement problem is approached by the Fourier-Bessel (FB) expansion of the speech and noise. The application of this expansion to the enhancement of the speech signals degraded with additive noise is described. The method is based on the subtraction of the FB coefficients of the estimated noise from the coefficients of the noisy speech. The difference in two sets of coefficients is then used to synthesise the enhanced speech. The inherent lowpass filtering property of the FB reconstruction with a finite number of coefficients is revealed.<>
Keywords :
Bessel functions; Fourier analysis; filtering and prediction theory; interference suppression; speech analysis and processing; Fourier-Bessel coefficients; additive noise; lowpass filtering property; noise suppression; noisy speech; speech enhancement; subtraction method;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I