I have never been a DSP wizard but cepstrum, wavelet and spectral centroid seemed a good idea. In any case using Kohonen maps to test via AI the quality of models, it appeared to me that a pseudo inversion of spectral data from a Fourier Transform was necessary to obtain a result compatible with mammal hearing.
Envoyé depuis Yahoo Mail pour Android
Hi All thanks for the help. I'm checking the sources but your suggestions already popped up an idea that i'm trying. Useful brainstorming ;)
Thanks a lot
ALBERTO NOVELLO / JesterN
If for any reason you wish not to receive any more messages from this email, please send an email with REMOVE as subject. I'm sorry for the inconvenience.
Se per qualsiasi ragione non desideri ricevere piu' messaggi da questo indirizzo, mandami un messaggio con REMOVE nel soggetto. Mi scuso per il disturbo.
Il Giovedì 6 Marzo 2014 6:47, Richard F. Lyon <dicklyon@xxxxxxx> ha scritto:
Alberto, the question is not clear. When you say "in the time domain" do you mean you are looking for alternatives to the widely used perceptual audio coders that use filterbanks?Possibly what you want is something like LPC whitening with residual coding. See for example:
If "a spectral-weighted temporal approximation method" is what you want, don't try to "connect frequency components to specific samples in the time domain". Frequency components are not a relevant concept in the time domain.
Singhal, Sharad. "High quality audio coding using multipulse LPC." ICASSP, 1990.
On Tue, Mar 4, 2014 at 3:05 AM, JesterN Alberto Novello <jestern77@xxxxxxxx> wrote: