latihan baca suara dimatlab.docx
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>> [ y, fs] = wavread('REKAMAN 1.wav'); %membaca data rekaman >> sound (y,fs); %play data rekaman >> y = y(:,1); >> dt = 1/fs; >> t = 0:dt:(length(y)*dt)-dt; >> plot(t,y); xlabel('Seconds'); ylabel('Amplitude'); >> figure % meanmpilkan data rekaan suara ke bentuk grafik 0 5 10 15 20 25 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 S econds Amplitude >> plot(psd(spectrum.periodogram,y,'Fs',fs,'NFFT',length(y)));
description
latihan matlab
Transcript of latihan baca suara dimatlab.docx
>> [ y, fs] = wavread('REKAMAN 1.wav'); %membaca data rekaman
>> sound (y,fs); %play data rekaman
>> y = y(:,1);
>> dt = 1/fs;
>> t = 0:dt:(length(y)*dt)-dt;
>> plot(t,y); xlabel('Seconds'); ylabel('Amplitude');
>> figure % meanmpilkan data rekaan suara ke bentuk grafik
0 5 10 15 20 25-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
Seconds
Am
plitu
de
>> plot(psd(spectrum.periodogram,y,'Fs',fs,'NFFT',length(y)));
0 5 10 15 20-200
-180
-160
-140
-120
-100
-80
-60
-40
-20
0
Frequency (kHz)
Pow
er/fr
eque
ncy
(dB
/Hz)
Periodogram Power Spectral Density Estimate
% mengetahui nilai fs
>> fs
fs =
44100
>> NFFT = 2^nextpow2(1000); % Next power of 2 from length of y
>> Y = fft(y,NFFT)/1000;
>> f = 44100/2*linspace(0,1,NFFT/2+1);
>> plot(f,2*abs(Y(1:NFFT/2+1)))
>> title('Single-Sided Amplitude Spectrum of y(t)')
>> xlabel('Frequency (Hz)')
>> ylabel('|Y(f)|')
0 0.5 1 1.5 2 2.5
x 104
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035Single-Sided Amplitude Spectrum of y(t)
Frequency (Hz)
|Y(f)
|
