return None
def show_spectogram(spectogram):
plt.imshow(spectogram.T, aspect="auto", interpolation="none")
ax = plt.gca()
ax.set_xlabel("Time")
ax.set_ylabel("Frequencies")
ax.set_ylim((128, 256))
ax.set_xlim((0, 23))
plt.show()
if __name__ == "__main__":
import soundfiles
signal = soundfiles.load_wav("training/pokemon/103.wav")
fingers = get_fingerprints(signal, 1024, 2)
time = []
peaks = []
for t, ps in fingers:
time += [t] * len(ps)
peaks += ps
print len(peaks)
plt.scatter(time, peaks, color="red")
plt.show()
'''
This file tests the loading of wav files.
'''
import soundfiles
import fingerprint
import numpy as np
import matplotlib.pyplot as plt
signal = soundfiles.load_wav("training/pokemon/003.wav")
x = []
for i in signal:
x.append(i)
plt.subplot(411)
plt.title("original")
plt.ylim(-1, 1)
plt.plot(x)
'''
fingers = get_fingerprints(signal, 2048, 8)
time = []
peaks = []
for t, ps in fingers:
time += [t] * len(ps)
peaks += ps
plt.subplot(221)
plt.title("original")
plt.scatter(time, peaks, color="red")
'''
This file tests the loading of wav files.
'''
import soundfiles
import fingerprint
import numpy as np
import matplotlib.pyplot as plt
signal = soundfiles.load_wav("training/pokemon/003.wav")
x = []
for i in signal:
x.append(i)
plt.subplot(411)
plt.title("original")
plt.ylim(-1,1)
plt.plot(x)
'''
fingers = get_fingerprints(signal, 2048, 8)
time = []
peaks = []
for t, ps in fingers:
time += [t] * len(ps)
peaks += ps
plt.subplot(221)
plt.title("original")
