14 Sep
2016
14 Sep
'16
7:45 p.m.
On 9/14/2016 1:33 PM, Fons Adriaensen wrote:
On Wed, Sep 14, 2016 at 12:46:34PM -0400, Ivica Ico
Bukvic wrote:
Good point. As long as the spectral content is more accurate because it
is devoid of extraneous reflections and therefore potentially altering
the spectral composition to the point it fails to be cross-correlated
correctly, and a single window of sound is enough to do a more accurate
cross-correlation, I am fine with that. The in-between-windowing
artifacts do not concern me as long as they are not a cause of signal
degradation to the point where cross-correlation is affected by it. Hope
this helps. Thank you all for your input so far.
Best,
Ico
Given in my case I am not concerned with mangling
the audio (it is
not intended to be played back, only used to calculate TDOA between
mics), I have no reservations towards resorting to destructive kinds
of processing as long as it improves my ability to identify accurate
TDOA between multiple mics.
But earlier:
>> Does anyone have access to an easy to
implement (as in code)
>> dereverberation algorithm assuming one has access to the room impulse
>> response? I am looking for a way to clean-up recorded audio signal in
>> order to improve signal clarity (e.g. speech).
So now I'm a bit
confused... Do you need improved audio, or just
signal statistics ???
Ciao,