noisanal - estimate quantity of aperiodicity in signal
(-i item) (-w windowsize) (-e) (-n) file
estimates the degree of aperiodicity in a signal as a function of time.
It uses a type of autocorrelation measure to estimate what proportion of the
signal is predictable at each time instant. The output is a track item
normalised to overall energy. The measure is probably irrelevant in silent intervals.
and their meanings are:
Identify program and exit.
Select input item number and type.
Set the analysis window size. Default 30ms.
Output energy track as well as aperiodicity track.
Normalise energy track to 0..1
Periodicity estimate by autocorrelation.
Overall energy track (decibels).
1.0 - Mark Huckvale.
Fri Jul 09 14:54:43 2004