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import simpl
import loris
import scipy as sp
from scipy.io.wavfile import read
from nose.tools import assert_almost_equals
class TestLoris(object):
def setUp(self):
input_file = 'audio/flute.wav'
audio_data = read(input_file)
self.audio = simpl.asarray(audio_data[1]) / 32768.0
self.sample_rate = audio_data[0]
self.FUNDAMENTAL = 415.0
def test_peak_detection(self):
pass
def test_partial_tracking(self):
pass
def test_full_analysis(self):
# configure a Loris Analyzer, use frequency
# resolution equal to 80% of the fundamental
# frequency, main lobe width equal to the
# fundamental frequency, and frequency drift
# equal to 20% of the fundamental frequency
# (approx. 83 Hz )
loris_analyzer = loris.Analyzer(.8 * self.FUNDAMENTAL, self.FUNDAMENTAL)
loris_analyzer.setFreqDrift(.2 * self.FUNDAMENTAL)
loris_partials = loris_analyzer.analyze(self.audio, self.sample_rate)
simpl_analyzer = simpl.loris.Analyzer(.8 * self.FUNDAMENTAL, self.FUNDAMENTAL)
simpl_analyzer.setFreqDrift(.2 * self.FUNDAMENTAL)
simpl_partials = simpl_analyzer.analyze(self.audio, self.sample_rate)
if __name__ == "__main__":
input_file = 'audio/flute.wav'
FUNDAMENTAL = 415.0
audio_data = read(input_file)
audio = simpl.asarray(audio_data[1]) / 32768.0
sample_rate = audio_data[0]
an = simpl.loris.Analyzer(.8 * FUNDAMENTAL, FUNDAMENTAL)
an.setFreqDrift(.2 * FUNDAMENTAL)
# analyze and store partials
peaks = an.analyze_peaks(audio, sample_rate)
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