def costalignment(a):
plt.clf()
#plt.figure(figsize=(8,6))
plt.gray()
fixcosts(a)
states = np.arange(0, a.state_count() + 1)
times = np.arange(0, a.frame_count()) / audio.sample_rate * audio.nsamples
#plt.axes([0,0,np.max(times),np.max(states)])
x, y = np.meshgrid(times, states)
plt.pcolormesh(x, y, a.costs.transpose())
test_plot, = plt.plot(times, [s + 1 for s in a.path])
wav = data.get_audio(a.name)
score = data.get_score(a.name, wav.total_length)
truth = data.get_truth(a.name, score, wav)
if truth:
t = truth_path = truth.get_path()
truth_plot, = plt.plot(times, [s + 1 for s in truth_path])
bx = plt.legend([test_plot, truth_plot], ("Automatic alignment", "Ground truth"),\
numpoints=1, handletextpad=0.5, loc="upper left")
bx.draw_frame(False)
plt.ylabel('State number in score sequence')
plt.xlabel('Time in audio recording (s)')
processplt(a, plt, "costmap")
def costalignment(a):
plt.clf()
# plt.figure(figsize=(8,6))
plt.gray()
fixcosts(a)
states = np.arange(0, a.state_count() + 1)
times = np.arange(0, a.frame_count()) / audio.sample_rate * audio.nsamples
# plt.axes([0,0,np.max(times),np.max(states)])
x, y = np.meshgrid(times, states)
plt.pcolormesh(x, y, a.costs.transpose())
test_plot, = plt.plot(times, [s + 1 for s in a.path])
wav = data.get_audio(a.name)
score = data.get_score(a.name, wav.total_length)
truth = data.get_truth(a.name, score, wav)
if truth:
t = truth_path = truth.get_path()
truth_plot, = plt.plot(times, [s + 1 for s in truth_path])
bx = plt.legend(
[test_plot, truth_plot],
("Automatic alignment", "Ground truth"),
numpoints=1,
handletextpad=0.5,
loc="upper left",
)
bx.draw_frame(False)
plt.ylabel("State number in score sequence")
plt.xlabel("Time in audio recording (s)")
processplt(a, plt, "costmap")
def align(name, lik_method, path_method, const_width=None, rel_width=None):
a = data.get_alignment(name, lik_method, path_method)
if a == None:
audio = data.get_audio(name)
score = data.get_score(name)
proc = AlignmentProcessor(lik_method, path_method)
a = proc.align(audio, score, const_width, rel_width)
truth = data.get_truth(name, score, audio)
if truth: a.truth_path = truth.get_path()
a.set_name(name)
data.save_alignment(a)
return a
def align(name, lik_method, path_method, const_width=None, rel_width=None):
a = data.get_alignment(name, lik_method, path_method)
if a == None:
audio = data.get_audio(name)
score = data.get_score(name)
proc = AlignmentProcessor(lik_method, path_method)
a = proc.align(audio, score, const_width, rel_width)
truth = data.get_truth(name, score, audio)
if truth: a.truth_path = truth.get_path()
a.set_name(name)
data.save_alignment(a)
return a
def truth(request, seconds, name):
truth = data.get_truth(name, seconds)
#!/usr/bin/env python
import data
score = data.get_score("mozart")
audio = data.get_audio("mozart")
truth = data.get_truth("mozart", score, audio)
print truth.get_path()
