Plot the speech samples and spectra for the original speech,

Part C: Speech Enhancement Digitally recorded speech in a noisy environment can be enhanced using a lowpass filter if the recorded speech with a sampling rate of 8,000 Hz contains the desired frequency components lower than 1,500 Hz. 1. Design a lowpass flter to remove the high frequency noise above 1,500 Hz with the following filter specifications Passband frequency: 0-1,000 Hz Passband ripple: 0.1 dB Stopband frequency range: 2,000-4,000 Hz Stopband atteuation: 50 dB Print the FIR filter coefficients and plot the frequency responses using MATLAB. 2. Use the designed lowpass filter to filter the noisy speech and adopt the following code to simulate the noisy speech: load speech.dat t-[0: length(speech)]-T: th=mean(speech. *speech)/4; % Noise power =(W4) speech power noise-sqrt (th)*randn ([1, length(Speech)]); % Generate Gaussian Noise nspeech-speech+noise. % Generate noisy speech Plot the speech samples and spectra for the original speech, the noisy speech and the enhanced speech and evaluate the sound quality