Question

Create a .wav file of your own voice by reading and recording the letters A, B, C, and D. (You may use the application 'Audacity' for this purpose). 1. Read the file from MATLAB. 2. Find out the size of the matrix. Plot the .wav file. 3. Find out the length of recording from the plot. 4. Play the sound file from MATLAB. 5. Work on the matrix so that the letters B and D will be audible on one track only while playing. 6. Work again on the matrix so that the letters B and D are eliminated completely from the .wav file.

          Create a .wav file of your own voice by reading and recording the letters A, B, C, and D.
(You may use the application 'Audacity' for this purpose).
1. Read the file from MATLAB.
2. Find out the size of the matrix. Plot the .wav file.
3. Find out the length of recording from the plot.
4. Play the sound file from MATLAB.
5. Work on the matrix so that the letters B and D will be audible on one track only while playing.
6. Work again on the matrix so that the letters B and D are eliminated completely from the .wav file.
        
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Added by Laura W.

Computer Science and Information Technology
Computer Science and Information Technology
Trishna Knowledge Systems 2018 Edition
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Create a .wav file of your own voice by reading and recording the letters A, B, C, and D. (You may use the application 'Audacity' for this purpose). 1. Read the file from MATLAB. 2. Find out the size of the matrix. Plot the .wav file. 3. Find out the length of recording from the plot. 4. Play the sound file from MATLAB. 5. Work on the matrix so that the letters B and D will be audible on one track only while playing. 6. Work again on the matrix so that the letters B and D are eliminated completely from the .wav file.
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4) Introductory audio DSP (digital signal processing) Use an audio recording device (e.g. a smartphone or a laptop (Voice Recorder app)), to record your voice for speaking a simple sentence (such as counting from 1 to 10). Use Matlab, and its function ‐audioread‐, to read your audio file (which you can email to yourself if the file is on your phone). This question only requires 3 very simple plots, and 1 elementary DSP operation: a) Plot the audio waveform (discrete function, with either 1 or 2 channels), labelling the axes b) Find the Fourier transform of the waveform (e.g. using Matlab’s function ‐fft‐), and plot the absolute values of the frequency spectrum, labelling the axes. If you have 2 audio channels (e.g. stereo recording), apply the fft to each channel separately c) Set to zero any range of the frequencies that you wish (e.g. some of the low frequencies, mid-range frequencies, or the high frequencies) – there are no right or wrong answers, just choose some frequencies to remove (by setting to zero) d) Find the inverse Fourier transform (‐ifft‐) of your filtered data, take the real part (‐real()‐), and plot your processed waveform If you are curious, you can playback your audio waveform using the Matlab function ‐sound‐ (both before and after your frequency-domain modification of the signal).

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00:01 Hello students, so let us look at this question.
00:04 So we can say that the government should promote and regulate the spatial data infrastructure for digital transformation in various sector because spatial data basically plays a key role in we can say decision making or effective making of infrastructure or we can say data sharing integration or we can say accuracy and etc.
00:49 Etc...
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