
#1
Apr2709, 01:59 PM

P: 550

1. The problem statement, all variables and given/known data
Using Matlab, I need to record vowels (a, e, o, i, etc) of my voice and apply a digital fourier transform (DFT) to the recorded sound signal. The resulting signal should be a periodic train of 'spikes', with modulated amplitude. The modulation of the amplitude is what forms the sound; different vowels produce different amplitude modulations. The highest point of a peak in the amplitude modulation is called a formant. I need to produce several of these DFT signals, and plot their powerspectrum ([itex]P = F F^* = F^2[/itex], where F is the (complex) signal) against the frequency. To do this, I record a vowel using a samplefrequency [itex]f_s[/itex] of 11025 Hz. I record a total number of 2^14 = 16384 samples, which results in about 1.5 seconds of recording time. Then, I calculate the DFT using the builtin "fft" Matlab function (which uses the equations below), and calculate it's powerspectrum. I can then plot the powerspectrum against the number of samples (from n = 0 To 16384), but what I really need is a plot of the powerspectrum against the frequency. Now, I am unsure how to convert from the number of samples to the frequency, so this is where I need your help. 2. Relevant equations Matlab uses the following DFT: [tex]X(k) = \displaystyle \sum_{n=1}^N x(n) \exp \left( \frac{2\pi j (n1)(k1)}{N}\right)[/tex] [tex]x(n) = \frac{1}{N} \sum_{k=1}^N X(k) \exp \left( \frac{2 \pi j (n1)(k1)}{N}\right)[/tex] 3. The attempt at a solution Once I have the powerspectrum of a record signal, I need to plot it against the frequency [itex]f[/itex] (not angular frequency [itex]\omega[/itex]). My reasoning was that the last sample (n = 2^14 = 16384) should correspond to the sample frequency [itex]f_s = 11025[/itex]. Therefore, I created the axis (let's call it an array [itex]x[/itex]) by first creating an array of integers 1 to 2^14. I then divide each element by 2^14, and multiply each element by the sample frequency 11025 Hz:
Furthermore, because the powerspectrum appears to be symmetric about the center of the graph (n = 2^14 / 2 = 2^13, or at frequency 11025/2, assuming I am correct), I can discard half of the graph, so I only use the first half:
I asked my teacher, and he told me it was OK, but to be honest I don't really trust him. My class mate (using the same technique) has already had his report graded, and he got a 4 out of 10, mainly because his frequency axis was apparently wrong. So this means the way I 'define' my frequency axis is wrong? How should I do it instead? I was maybe thinking about the Nyquist theorem; should the last sample correspond to only half the sample frequency perhaps? Thanks for any insights! EDIT Why is my Latex not working? Even simple things such as y = x^2 don't work: [tex]y = x^2[/tex] ?? 


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