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- #!/usr/bin/python2.5
- #
- # Copyright 2012 Olivier Gillet.
- #
- # Author: Olivier Gillet (ol.gillet@gmail.com)
- #
- # 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 3 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, see <http://www.gnu.org/licenses/>.
- #
- # -----------------------------------------------------------------------------
- #
- # Waveshaper lookup tables.
-
- import numpy
- import audio_io
-
- boundaries = [0]
- sample_data = []
-
- TRUNCATE = False
-
- for i in xrange(1, 10):
- audio_data, sr = audio_io.ReadWavFile('elements/samples/hit_%02d.wav' % i)
- audio_data = audio_data.sum(axis=1)
- audio_data = list(audio_data)
- if TRUNCATE:
- audio_data = audio_data[:128]
- audio_data += [audio_data[-1]] # Add interpolation tail
- audio_data = numpy.round(numpy.array(audio_data) * 32767.0)
- sample_data += list(audio_data)
- boundaries.append(boundaries[-1] + len(audio_data))
-
-
- sample_data = [('sample_data', sample_data)]
- boundaries = [('boundaries', boundaries)]
-
- audio_data, sr = audio_io.ReadWavFile('elements/samples/noise.wav')
- audio_data = audio_data.sum(axis=1)
- audio_data = numpy.round(numpy.array(audio_data) * 32767.0)
- if TRUNCATE:
- audio_data = audio_data[:128]
- sample_data += [('noise_sample', audio_data)]
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