Abstract:
The presence of background noise in recorded speech
reduces the quality of speech. It can also degrade the
performance of other systems, such as speech compression,
speech recognition, and speaker authentication. The aim of
speech enhancement methods is to improve the quality of speech
in noisy environment. The main objective of this paper is to
develop a speech enhancement system based on the spectral
subtraction. Using Fast Fourier Transform (FFT), these
methods firstly transforms the spectra if no-isy input speech into
the magnitude signal spectra. To get the enhanced output
speech, the expected noise spectrum is subtracted from the noisy
speech spectra. The voices of male and female are used to test
as input signals in this system. The effectiveness of the algorithm
is tested by speech signals which are corrupted by the stationary
noise and non-stationary noise at varying Signal-to-Noise
Ratios (SNRs). The quality of the enhancement speech is tested
subjectively and objectively.
