import matplotlib.pyplot as plt
import os
from PyMP import Signal, mp, mp_coder
from PyMP.mdct import Dico
abPath = os.path.abspath("../../data/")
sig = Signal(abPath + "/ClocheB.wav", mono=True) # Load Signal
sig.crop(0, 4.0 * sig.fs) # Keep only 4 seconds
# atom of scales 8, 64 and 512 ms
scales = [(s * sig.fs / 1000) for s in (8, 64, 512)]
# Dictionary for Standard MP
pyDico = Dico(scales)
# Launching decomposition, stops either at 20 dB of SRR or 2000 iterations
mpApprox, mpDecay = mp.mp(sig, pyDico, 20, 2000)
# mpApprox.atomNumber
SNR, bitrate, quantizedApprox = mp_coder.simple_mdct_encoding(mpApprox, 2000, Q=14)
quantizedApprox.plot_tf()
plt.show()
from PyMP.mdct import Dico, LODico
from PyMP.mdct.rand import SequenceDico
from PyMP import mp, mp_coder, Signal
signal = Signal('../data/ClocheB.wav', mono=True) # Load Signal
signal.crop(0, 4.0 * signal.fs) # Keep only 4 seconds
# atom of scales 8, 64 and 512 ms
scales = [(s * signal.fs / 1000) for s in (8, 64, 512)]
signal.pad(scales[-1])
# Dictionary for Standard MP
dico = Dico(scales)
# Launching decomposition, stops either at 20 dB of SRR or 2000 iterations
app, dec = mp.mp(signal, dico, 20, 2000, pad=False)
app.atom_number
snr, bitrate, quantized_app = mp_coder.simple_mdct_encoding(
app, 8000, Q=14)
print (snr, bitrate)
print "With Q=5"
snr, bitrate, quantized_app = mp_coder.simple_mdct_encoding(
app, 8000, Q=5)
print (snr, bitrate)
snr, bitrate, quantized_app = mp_coder.simple_mdct_encoding(
app, 2000, Q=14)
print (snr, bitrate)
lomp_dico = LODico(scales)
lomp_app, lomp_dec = mp.mp(
signal, lomp_dico, 20, 2000, pad=False)
