def test(filename=None):
import random, os
import matplotlib.pyplot as plt
from sys import argv
#signal, params = read_signal(sound,WINSIZE)
scenario = None
if filename != None:
scene = os.path.basename(filename)[0]
else:
filename = random.choice([
x for x in os.listdir("tmp/") if os.path.splitext(x)[1] == ".flac"
])
scene = filename[0]
filename = "tmp/" + filename
print(filename)
truths = vad.load_truths()
signal, rate = speech.read_soundfile(filename)
seconds = float(len(signal)) / rate
winsize = librosa.time_to_samples(float(WINMS) / 1000, rate)[0]
window = sp.hanning(winsize)
ltsd = LTSD(winsize, window, 5)
res, threshold, nstart, nend = ltsd.compute(signal)
segments = ltsd.segments(res, threshold)
#print(float(len(signal))/rate, librosa.core.frames_to_time(len(res), 8000, winsize/2))
segments = librosa.core.frames_to_time(segments, rate, winsize / 2)
fig = plt.figure()
ax = fig.add_subplot(111)
#ax.plot((signal/np.max(signal))*np.mean(res)+np.mean(res))
ax.plot(np.linspace(0, seconds, len(res)), res)
ax.plot([0, seconds], [threshold, threshold])
vad.plot_segments(truths[scene]['combined'], segments, ax)
n1 = float(nstart) / rate
n2 = float(nend) / rate
ax.vlines([n1, n2], -20, 20)
plt.show()
def test(filename=None):
import random, os
import matplotlib.pyplot as plt
from sys import argv
#signal, params = read_signal(sound,WINSIZE)
scenario=None
if filename != None:
scene = os.path.basename(filename)[0]
else:
filename = random.choice([x for x in os.listdir("tmp/") if os.path.splitext(x)[1] == ".flac"])
scene = filename[0]
filename = "tmp/"+filename
print(filename)
truths = vad.load_truths()
signal,rate = speech.read_soundfile(filename)
seconds = float(len(signal))/rate
winsize = librosa.time_to_samples(float(WINMS)/1000, rate)[0]
window = sp.hanning(winsize)
ltsd = LTSD(winsize,window,5)
res, threshold,nstart,nend = ltsd.compute(signal)
segments = ltsd.segments(res, threshold)
#print(float(len(signal))/rate, librosa.core.frames_to_time(len(res), 8000, winsize/2))
segments = librosa.core.frames_to_time(segments, rate, winsize/2)
fig = plt.figure()
ax = fig.add_subplot(111)
#ax.plot((signal/np.max(signal))*np.mean(res)+np.mean(res))
ax.plot(np.linspace(0,seconds, len(res)), res)
ax.plot([0, seconds], [threshold, threshold])
vad.plot_segments(truths[scene]['combined'], segments, ax)
n1 = float(nstart)/rate
n2 = float(nend)/rate
ax.vlines([n1,n2], -20,20)
plt.show()
def read_label_list_file(fn):
with open(fn) as f:
times = [float(x) for x in f.readlines()]
segments = [times[i:i + 2] for i in xrange(0, len(times), 2)]
if len(segments[-1]) == 1:
segments = segments[:-1]
return segments
if __name__ == "__main__":
import os
import matplotlib.pyplot as plt
from sys import argv
#signal, params = read_signal(sound,WINSIZE)
scenario = None
truths = vad.load_truths()
args = set([
'sig', 'ac-spec', 'var', 'ltac', 'ac-feature', 'batch', 'test-labels',
'print'
])
if len(argv) >= 2 and argv[1] in args:
if len(argv) >= 3 and argv[1] != 'batch':
filename = argv[2]
scene = os.path.basename(filename)[0]
else:
filename = random.choice([
x for x in os.listdir("tmp/")
if os.path.splitext(x)[1] == ".flac"
])
scene = filename[0]
filename = "tmp/" + filename
def read_label_list_file(fn):
with open(fn) as f:
times = [float(x) for x in f.readlines()]
segments = [times[i:i+2] for i in xrange(0, len(times), 2)]
if len(segments[-1]) == 1:
segments = segments[:-1]
return segments
if __name__ == "__main__":
import os
import matplotlib.pyplot as plt
from sys import argv
#signal, params = read_signal(sound,WINSIZE)
scenario=None
truths = vad.load_truths()
args = set(['sig', 'ac-spec', 'var', 'ltac', 'ac-feature', 'batch', 'test-labels'])
if len(argv) >= 2 and argv[1] in args:
if len(argv)>=3 and argv[1] != 'batch':
filename = argv[2]
scene = os.path.basename(filename)[0]
else:
filename = random.choice([x for x in os.listdir("tmp/") if os.path.splitext(x)[1] == ".flac"])
scene = filename[0]
filename = "tmp/"+filename
print(filename)
if argv[1] != 'batch':
sig, rate, frames, fsize, naccs, acvars, ltacs, more = pipeline(filename)
predictions = []
seconds = float(len(sig))/rate
if argv[1] == 'sig':
