ECE5525 Final

ECE5525 Final - Snoring / Sleep Apnea Sound Analysis Jacob...

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Unformatted text preview: Snoring / Sleep Apnea Sound Analysis Jacob Zurasky ECE5525 Fall 2010 Goals Determine if the principles of speech processing relate to snoring sounds. Use homomorphic filtering techniques to analyze snoring for pitch and also vocal tract response. Develop a method to distinguish a simple snore from a sleep apnea event. Snoring / Sleep Apnea Analysis Background Past Research - SRD Store amplitude and frequency spectrum data to SD card Interface to Sleep Lab polysomnogram equipment Top Figure is the frequency spectrum (0-2kHz) Bottom figure is the snore amplitude SRD Sample Data Output Past Research iPhone App Assume: s[n] = h[n] * p[n] FFT -> log( ) -> IFFT, yields the cepstrum Separate by low quefrency liftering FFT -> exp( ) -> IFFT, vocal tract response Homomorphic Filtering Speech Assume: s[n] = h[n] * p[n] (palatal flow) Use sliding hamming window, 50% overlap...
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ECE5525 Final - Snoring / Sleep Apnea Sound Analysis Jacob...

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