import sys
import numpy as np
import scipy.io.wavfile as wav
import metamorph
if not len(sys.argv) == 4:
print 'Usage:', __file__, '<input wav file> <cut-off frequency>',
print '<output wav file>'
sys.exit(1)
input_path = sys.argv[1]
frequency = float(sys.argv[2])
output_path = sys.argv[3]
audio, sampling_rate = metamorph.read_wav(input_path)
print 'Low-pass filtering transients, cut-off frequency is',
print frequency, 'Hz.'
fx = metamorph.FX()
trans = metamorph.TransientLPF(frequency)
fx.add_transformation(trans)
output = fx.process(audio)
wav.write(output_path, sampling_rate, np.array(output * 32768, dtype=np.int16))
print 'Done. Saved to', output_path
def setup_class(cls):
cls.audio = metamorph.read_wav(audio_path)[0]
if not len(sys.argv) == 4:
print 'Usage:', __file__,\
'<main input wav file> <wav file to take envelope from>',\
'<output wav file>'
sys.exit(1)
input_path = sys.argv[1]
env_path = sys.argv[2]
output_path = sys.argv[3]
order = 25
env_size = 256
frame_size = 2048
audio, sampling_rate = metamorph.read_wav(input_path)
env_audio = metamorph.read_wav(env_path)[0]
env_audio = env_audio[len(env_audio) / 2: (len(env_audio) / 2) + frame_size]
print 'Applying a (static) spectral envelope from', env_path
# get a spectral envelope from the centre of second wav file
pd = simpl.LorisPeakDetection()
pd.frame_size = frame_size
pd.hop_size = frame_size
pd.max_peaks = env_size
frames = pd.find_peaks(env_audio)
if not len(frames[0].peaks):
print 'No peaks found in', env_path
def setup_class(cls):
cls.audio = metamorph.read_wav(audio_path)[0]
cls.audio = cls.audio[len(cls.audio) / 2:(len(cls.audio) / 2) + 4096]