Timeline for Gentle request for explanation on LPC and LPCC coefficients :)
Current License: CC BY-SA 3.0
5 events
when toggle format | what | by | license | comment | |
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Mar 10, 2015 at 10:36 | vote | accept | Celdor | ||
Dec 9, 2013 at 12:34 | comment | added | pichenettes | "How do you know that the first cepstrum coefficients corresponds to the filter of Vocal Tract?" The spectrum of a voiced speech signal is the product of a harmonic comb (contribution of the glottis) and a smoother function (vocal tract filter response). Replace spectrum by "log spectrum" and "product" by sum. Take the Fourier transform of that and you get the cepstrum. So the cepstrum is the sum of two functions - contribution of the filter ; contribution of the source ; one is smooth (mostly low quefrency) one is peaky (mostly high quefrency). | |
Dec 9, 2013 at 12:30 | comment | added | pichenettes | "If we "get rid of" the vocal tract (filter), would we just have the effect of glottis?". Yes, there are actually several methods to record this directly, and this sounds quite similar to the LPC residual. | |
Dec 9, 2013 at 11:09 | comment | added | Celdor | Hi pichenettes. Thanks for the answer. If we "get rid of" the vocal tract (filter), would we just have the effect of glottis? How do you know that the first cepstrum coefficient corresponds to the filter of Vocal Tract? Why is it just the first CC? Is this idea of cepstrum the same for Mel-Frequency Cepstrum Coefficients (MFCC) in terms of representing effect of Vocal Tract or glottis? Thanks | |
Dec 9, 2013 at 10:42 | history | answered | pichenettes | CC BY-SA 3.0 |