-
Notifications
You must be signed in to change notification settings - Fork 0
/
FeatureTimeAcfCoeff.m
executable file
·42 lines (35 loc) · 1.44 KB
/
FeatureTimeAcfCoeff.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
% ======================================================================
%> @brief computes the ACF coefficients of a time domain signal
%> called by ::ComputeFeature
%>
%> @param x: audio signal
%> @param iBlockLength: block length in samples
%> @param iHopLength: hop length in samples
%> @param f_s: sample rate of audio data (unused)
%> @param eta: index (or vector of indices) of coeff result
%>
%> @retval vacf autocorrelation coefficient
%> @retval t time stamp
% ======================================================================
function [vacf, t] = FeatureTimeAcfCoeff(x, iBlockLength, iHopLength, f_s, eta)
% initialization
% these values are arbitrary - adapt to your use case
if (nargin < 5)
eta = 20;
end
% number of results
iNumOfBlocks = ceil (length(x)/iHopLength);
% compute time stamps
t = ((0:iNumOfBlocks-1) * iHopLength + (iBlockLength/2))/f_s;
% allocate memory
vacf = zeros(length(eta),iNumOfBlocks);
for (n = 1:iNumOfBlocks)
i_start = (n-1)*iHopLength + 1;
i_stop = min(length(x),i_start + iBlockLength - 1);
% calculate the acf
afCorr = xcorr(x(i_start:i_stop), 'coeff');
afCorr = afCorr((ceil((length(afCorr)/2))+1):end);
% find the maximum in the computed range
vacf(1:length(eta),n) = afCorr(eta);
end
end