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Diffstat (limited to 'examples/plotpartials.py')
| -rw-r--r-- | examples/plotpartials.py | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/examples/plotpartials.py b/examples/plotpartials.py deleted file mode 100644 index ef6d7ef..0000000 --- a/examples/plotpartials.py +++ /dev/null @@ -1,37 +0,0 @@ -# Copyright (c) 2009 John Glover, National University of Ireland, Maynooth -# -# This program 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 2 of the License, or -# (at your option) any later version. -# -# This program 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 this program; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA - -import simpl -import matplotlib.pyplot as plt -from scipy.io.wavfile import read - -input_file = '../tests/audio/flute.wav' -audio_in_data = read(input_file) -audio_in = simpl.asarray(audio_in_data[1]) / 32768.0 # values between -1 and 1 -sample_rate = audio_in_data[0] - -# take just the first few frames -audio = audio_in[0:4096] -# Peak detection and partial tracking using SMS -pd = simpl.SndObjPeakDetection() -pd.max_peaks = 60 -peaks = pd.find_peaks(audio) -pt = simpl.MQPartialTracking() -pt.max_partials = 60 -partials = pt.find_partials(peaks) -simpl.plot.plot_partials(partials) -plt.show() - |