Speech denoising is a field of engineering that studies techniques used to recover the
original signal from the noisy signal corrupted with different types of noise, such as
broadband noise and narrowband noise, and other types present in environme
nt, but the
spectral subtraction technique consider the most prominent in this area .
In this search we will discuss the parameters impact of the modified spectral
subtraction algorithm and the time window length in the enhancement of speech that
corrupted with broadband noise. We done the study and determine the ideal parameters
values and the ideal window length with different values for the signal -to-noise ratio SNR
for noisy speech and we discuss 18 case for each value. We done
the simulation using MATLAB software and the results were compared based on
improving the value of SNR for each case .
In this project we study wavelet and wavelet transform, and the possibility of its employment in the processing and analysis of the speech signal in order to enhance the signal and remove noise of it. We will present different algorithms that depend
on the wavelet transform and the mechanism to apply them in order to get rid of noise in the speech, and compare the results of the application of these algorithms with some traditional algorithms that are used to enhance the speech.
