文件列表:

TVoiceAudioPrh\dsp1\assignment1a.m (2009, 2008-11-22)
TVoiceAudioPrh\dsp1\assignment1b.m (837, 2008-11-22)
TVoiceAudioPrh\dsp1\assignment1c.m (646, 2008-11-22)
TVoiceAudioPrh\dsp1\assignment1d.m (595, 2008-11-22)
TVoiceAudioPrh\dsp1\assignment1e.m (512, 2008-11-22)
TVoiceAudioPrh\dsp1\cthresh.m (532, 2008-11-22)
TVoiceAudioPrh\dsp1\e.wav (420922, 2008-09-22)
TVoiceAudioPrh\dsp1\fftPlot.m (661, 2008-09-23)
TVoiceAudioPrh\dsp1\gollum.wav (628282, 2008-09-22)
TVoiceAudioPrh\dsp1\laugh.wav (574522, 2008-09-22)
TVoiceAudioPrh\dsp1\loudenss1.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\loudenss2.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\loudenss3.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\loudness.m (433, 2008-10-01)
TVoiceAudioPrh\dsp1\loudness2.m (677, 2008-11-22)
TVoiceAudioPrh\dsp1\mirrorfft.m (330, 2008-10-12)
TVoiceAudioPrh\dsp1\pitchdown.wav (210476, 2008-10-22)
TVoiceAudioPrh\dsp1\pitchshift.m (726, 2008-10-07)
TVoiceAudioPrh\dsp1\pitchup.wav (210476, 2008-10-22)
TVoiceAudioPrh\dsp1\playFile.m (142, 2008-10-01)
TVoiceAudioPrh\dsp1\plotSpectrum.m (411, 2008-11-22)
TVoiceAudioPrh\dsp1\plotSpectrumColor.m (435, 2008-10-14)
TVoiceAudioPrh\dsp1\plotTime.m (105, 2008-10-13)
TVoiceAudioPrh\dsp1\scaledown.m (535, 2008-11-22)
TVoiceAudioPrh\dsp1\scaleup.m (406, 2008-11-22)
TVoiceAudioPrh\dsp1\scaleup.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\sclaedown.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\shiftdown.m (344, 2008-10-12)
TVoiceAudioPrh\dsp1\shiftup.m (323, 2008-10-12)
TVoiceAudioPrh\dsp1\squared.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\squaring.m (334, 2008-10-14)
TVoiceAudioPrh\dsp1\terminator.wav (646714, 2008-09-22)
TVoiceAudioPrh\dsp1\threshold.wav (210476, 2008-11-22)
TVoiceAudioPrh\dsp1\vocals.wav (940090, 2008-09-22)
TVoiceAudioPrh\dsp1 (0, 2012-03-18)
TVoiceAudioPrh (0, 2012-03-18)

Author: Paolo Di Prodi Audio processing 1. Find a voice sample on the internet in wav format, download one or record your own as wav le. 2. Load this voice sample into MATLAB/octave and plot the audio signal in the time domain and in the frequency domain 3. Loudness control: increase the amplitude of all frequencies below 200Hz and above 5kHz by factor 2, 5 and 10. Plot the Fourier spectrum and the time domain signal and describe the subjective change. 4. Take a voice sample of a person and shift the frequencies by factor two once up and once down. Plot again the Fourier spectrum of the voice sample before and after the shift. Compare the two spectra and identify the voice in it. 5. Take a voice audio sample and square it in the time domain. Then transfer it to the frequency domain and remove the DC component. Transfer it back to the time domain and listen to it. Describe and explain what the squaring has done to the audio signal. Again, plot all the signals in the time and frequency domain. 6. Transfer a voice sample into the frequency domain. Remove all com ponents which amplitude are below a certain threshold. Use di erent thersholds and compare the results (MP3 \light").

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