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Diffstat (limited to 'power_sequencer/operators/audiosync/cross_correlation.py')
| -rw-r--r-- | power_sequencer/operators/audiosync/cross_correlation.py | 33 |
1 files changed, 0 insertions, 33 deletions
diff --git a/power_sequencer/operators/audiosync/cross_correlation.py b/power_sequencer/operators/audiosync/cross_correlation.py deleted file mode 100644 index dc337475..00000000 --- a/power_sequencer/operators/audiosync/cross_correlation.py +++ /dev/null @@ -1,33 +0,0 @@ -# -# Copyright (C) 2016-2020 by Nathan Lovato, Daniel Oakey, Razvan Radulescu, and contributors -# -# This file is part of Power Sequencer. -# -# Power Sequencer is free software: you can redistribute it and/or modify it under the terms of the -# GNU General Public License as published by the Free Software Foundation, either version 3 of the -# License, or (at your option) any later version. -# -# Power Sequencer is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; -# without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU General Public License along with Power Sequencer. If -# not, see <https://www.gnu.org/licenses/>. -# -import numpy as np - - -def cross_correlation(mfcc1, mfcc2, nframes): - n1, mdim1 = mfcc1.shape - # n2, mdim2 = mfcc2.shape - - n = n1 - nframes + 1 - - if n < 0: - return None - - c = np.zeros(n) - for k in range(n): - cc = np.sum(np.multiply(mfcc1[k : k + nframes], mfcc2[:nframes]), axis=0) - c[k] = np.linalg.norm(cc) - return c |