Title :
A spectral subtraction method for noise reduction in speech signals
Author :
Mwema, Wilfred N. ; Mwangi, Elijah
Author_Institution :
Dept. of Electr. & Electron. Eng., Nairobi Univ., Kenya
Abstract :
A noise suppression algorithm for enhancing speech signals corrupted by additive white Gaussian noise is presented in this paper. The algorithm is based on the subtraction of estimated noise spectrum from the noisy speech spectrum. The performance of the algorithm is assessed by comparing the original clean speech and processed speech. An objective measure based on the log area ratios of a speech segment is used
Keywords :
Gaussian noise; acoustic noise; acoustic signal processing; interference suppression; spectral analysis; speech enhancement; additive white Gaussian noise; estimated noise spectrum; log area ratios; noise reduction; noise suppression algorithm; noisy speech; performance; spectral subtraction method; speech segment; speech signals; Additive noise; Gaussian noise; Microphones; Noise cancellation; Noise reduction; Signal processing; Signal processing algorithms; Signal to noise ratio; Speech enhancement; Speech processing;
Conference_Titel :
AFRICON, 1996., IEEE AFRICON 4th
Conference_Location :
Stellenbosch
Print_ISBN :
0-7803-3019-6
DOI :
10.1109/AFRCON.1996.563142
