def do_recording(self, start_time):
"""4. Alice requests recording
(4 and 5 are called synchronous at ``start_time``)
Function waits until ``start_time`` and then starts recording
:param start_time: Absolute time when recording should start
:type start_time: int
"""
log.info('4. Alice requests recording')
if self.recording_use_file:
# load recording from file
#left_channel, right_channel, self.recording_samplerate = load_stereo(self.recording_file)
#self.recording_data = left_channel
self.recording_data, self.recording_samplerate = load_mono(self.recording_file)
else:
# start recording at start_time
self.recording_data, self.recording_samplerate = record_at_time("client.wav", 7, start_time)
def record_at_time(filename, duration, start_time):
# init recorder
recording = AudioRecording(filename, duration)
end_time = start_time+duration
log.debug("Recording Start time: "+str(start_time))
log.debug("Recording End time: "+str(end_time))
# starting at start_time
while True:
if (time.time() >= start_time):
# now go on!
break
log.info('Recording thread started at '+str(time.time()))
# record in thread
thread.start_new_thread(recording.record_start, (end_time,))
# init and start gobject c threads
loop = gobject.MainLoop()
gobject.threads_init()
context = loop.get_context()
# record and do thread loop until end_time
while True:
# do gobject iteration
context.iteration(True)
if (time.time() >= end_time):
# terminate gobject thread
loop.quit()
break
# load recorded file
recording_data, recording_samplerate = load_mono(filename)
return recording_data, recording_samplerate
def remote_recording(self, start_time):
"""5. remote recording
(4 and 5 are called synchron at ``start_time``)
Function waits until ``start_time`` and then starts recording
:param start_time: Absolute time when recording should start
:type start_time: int
"""
log.info('5. remote recording')
if self.recording_use_file:
# load recording from file
self.recording_data, self.recording_samplerate = load_mono(self.recording_file)
return True
else:
# start recording at start_time
self.recording_data, self.recording_samplerate = record_at_time("server.wav", 7, start_time)
return True
base = "/home/ds1/Projekte/Bachelorarbeit/Program/recordings/"
# fingerprinting based on energy difference
import fingerprint_energy_diff
import logging
# Logging all above INFO level, output to stderr
logging.basicConfig(#format='%(asctime)s %(levelname)-8s %(message)s')
format='%(levelname)-8s %(message)s')
log = logging.getLogger("fuzzy_pairing")
log.setLevel(logging.DEBUG)
# load channels:
left_channel, samplerate = load_mono(base+'1.5_3/high/music5.wav')
right_channel, samplerate = load_mono(base+'1.5_3/high/music1.wav')
# fingerprint energy diff
fingerprint_left = fingerprint_energy_diff.get_fingerprint(left_channel, samplerate)
fingerprint_right = fingerprint_energy_diff.get_fingerprint(right_channel, samplerate)
print repr(fingerprint_left)
print repr(fingerprint_right)
# calculate hamming distance between fingerprints
distance = hamming_distance(fingerprint_left, fingerprint_right)
length = len(fingerprint_left)
print length, distance
print('Correlation %: '+str(1-float(distance)/float(length)))
log.setLevel(logging.DEBUG)
path = "/home/ds1/Projekte/Fuzzy Pairing Paper/Versuche Audiodateien/"
matrix = list()
# get all files in all subdirectories etc.
for root, dirs, files in os.walk(path):
for name in files:
filename = os.path.join(root, name)
print filename
print "current file is: " + name
mono_channel, samplerate = load_mono(filename)
# fingerprint energy diff
fingerprint = fingerprint_energy_diff.get_fingerprint(mono_channel, samplerate)
# you can add more analysis using helper_analysis here
# and write the results in the matrix for further analyzing
matrix.append([filename,fingerprint])
print matrix
# save it with pickle, can later be analyzed
with file('analysis_matrix.txt', 'wr') as f:
pickle.dump(matrix, f)
