Rewriting my project proposal as I am typing this. Will post it when I'm done. It seems that SPREAD works very very very very differently than what I originally thought when I first read the paper. I'm actually a bit worried that my idea to distinguish between sounds is impossible. In fact, I'm almost sure that doing this will be impossible (given the current SPREAD's data structure). At the same time, this makes me wonder what I can add into SPREAD so that the propagation of speech sounds becomes do-able.
I just sent an email to someone in the linguistics department asking to meet. I hope that I can spend maybe 1 hour with them, and they will tell me what is the minimums set of data needed for a person to distinguish phonemes from each other.
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I didn't do much this week because I was cramming for my STAT exam since Monday, and the weekend I went home for Chinese new year. I'll make up the time next week.
I made a repository for Pengfei's code on my private github account. I've vaguely looked at it. The fact that it is C# is a bit scary. But I'll trust Pengfei when he says it is easy to use.
I did some more reading between doing STAT. And I have a vague plan for the pre-processing part. Currently:
given a sound file, the mat lab code breaks down the sound signals into tiny sound chunks and does Fourier analysis on it. For each time chunk, the code will basically take the Fourier transform with the largest coefficient, and propagate that (which is where the term "SPREAD" comes from. the one frequency will become a spectrum of frequencies as it travels through space).
I know that to distinguish between vowels, at least the information of 3 formats are needed. So 3 packets (minimum) is needed for each chunk of time. I am planning (once I get the matlab code), to see how I could add to it so I can gather the data of 3 formants.
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My alpha is on the 28th at 3:15. I am aiming for some matlab code, and initial tests.
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