def setUp(self):
self.clap_analyzer = ClapAnalyzer(
note_lengths=[1./4, 1./8, 1./8, 1./4, 1./4],
deviation_threshold=0.1
)
self.clap_analyzer.on_clap_sequence(self.clap_sequence_callback)
self.num_clap_sequences_detected = 0
class AudioActivity:
def __init__(self):
#self.t = Timer()
self.clap_time = []
self.sequence_identified = 0
self.actual_sequence = None
self.sequence = []
self.noise = 0
self.Nbeat = 0
self.silence = 0
self.elapsed_time = 0
self.other_activity = 0
self.p = None
self.stream = None
def initialize_sequences(self):
self.sequence.append([1. / 4, 1. / 4, 1. / 2, 1. / 4, 1. / 4,
1. / 2]) # dindondan 0
self.sequence.append([1. / 8, 1. / 8, 1. / 4, 1. / 8, 1. / 8,
1. / 4]) # ticchetà 1
self.sequence.append([1. / 8, 1. / 8, 1. / 4, 1. / 8, 1. / 8,
1. / 4]) # opopop 2
self.sequence.append(
[1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4,
1. / 2]) #twinkle twinkle 3
self.sequence.append(
[1. / 4, 1. / 4, 1. / 2, 1. / 8, 1. / 6, 1. / 4,
1. / 4]) #queen 4
self.sequence.append(
[1. / 8, 1. / 6, 1. / 8, 1. / 6, 1. / 8, 1. / 6,
1. / 4]) # brilla brilla stellina 5
self.sequence.append(
[1. / 6, 1. / 6, 1. / 6, 1. / 6, 1. / 6, 1. / 6, 1. / 6,
1. / 6]) #giro giro tondo 6
#self.sequence.append([1./4, 1./4, 1./4, 1./4, 1./4, 1./4, 1./4, 1./4]) #giro giro tondo
self.sequence.append([
1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 2, 1. / 4,
1. / 4, 1. / 2
]) #fra martino 7
self.sequence.append(
[1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4, 1. / 4,
1. / 4]) #vecchia fattoria 8
self.sequence.append([1. / 6, 1. / 6, 1. / 4, 1. / 6, 1. / 6, 1. / 6
]) # ci vuole un fiore 9
self.sequence.append(
[1. / 4, 1. / 8, 1. / 8, 1. / 4,
1. / 4]) #tatititata 10
self.sequence.append(
[1. / 4, 1. / 4, 1. / 2, 1. / 8, 1. / 8, 1. / 4,
1. / 4]) #queen 11
self.sequence.append(
[1. / 4, 1. / 4, 1. / 2, 1. / 8, 1. / 6, 1. / 8, 1. / 8,
1. / 8]) #queen 12
# fra martino, bella lavanderina?
def start(self, id):
with suppress_stdout_stderr:
self.initialize_sequences()
self.p = pyaudio.PyAudio() # Create an interface to PortAudio
# open your audio stream
self.stream = self.p.open(format=FORMAT,
rate=RATE,
channels=CHANNELS,
input=True,
frames_per_buffer=CHUNK,
stream_callback=self.audio_callback)
self.choice_sequence(id)
# start the stream
self.stream.start_stream()
# timer start
#self.t.start() # alla fine sottraggo il valore temporale del primo battito
self.t1 = time.perf_counter()
self.t2 = 0
print("start timer")
def choice_sequence(self, id):
self.actual_sequence = ClapAnalyzer(self.sequence[id],
deviation_threshold=0.2)
self.actual_sequence.on_clap_sequence(self.on_sequence_detected)
def on_sequence_detected(self):
print("Sequence detected")
self.sequence_identified = 1
def add_clap(self, time):
# for clap_analyzer in sequence:
# clap_analyzer.clap(time)
self.actual_sequence.clap(time)
def audio_callback(self, in_data, frame_count, time_info, status):
with suppress_stdout_stderr:
rms = audioop.rms(
in_data,
2) # quadratic mean of the data. width=2 for format=paInt16
# print(rms)
if rms == 0:
decibel = 0
else:
decibel = 20 * math.log10(rms) # transforms into db
# check level against threshold
#print(decibel)
if decibel > THRESHOLD:
self.noise += 1
#elapsed_time = self.t.elapsed_time()
self.t2 = time.perf_counter()
self.elapsed_time = self.t2 - self.t1
if self.Nbeat == 0:
self.add_clap(self.elapsed_time)
if self.sequence_identified > 0:
print("Found")
self.clap_time.append(self.elapsed_time)
print("performance started")
print("clap")
print(self.clap_time[self.Nbeat])
self.Nbeat += 1
self.silence = 0
else:
deltaT = self.elapsed_time - self.clap_time[self.Nbeat - 1]
if (deltaT > 0.093) and (self.silence >= 1):
# test a 85 BPM devo avere un battito ogni 0.7 sec
print("clap")
self.clap_time.append(self.elapsed_time)
print(self.clap_time[self.Nbeat])
print(self.clap_time[:])
self.add_clap(self.elapsed_time)
if self.sequence_identified > 0:
print("Found")
self.Nbeat += 1
self.silence = 0
if self.silence == 0 and self.noise >= 10:
self.other_activity += 1
print("other activity is detected")
elif decibel < LOW_THRESHOLD:
self.silence += 1
self.noise = 0
self.t2 = time.perf_counter()
self.elapsed_time = self.t2 - self.t1
#if self.silence > 50:
#print("silence")
return in_data, pyaudio.paContinue
def stop(self):
self.stream.stop_stream()
self.stream.close()
self.p.terminate()
def choice_sequence(self, id):
self.actual_sequence = ClapAnalyzer(self.sequence[id],
deviation_threshold=0.2)
self.actual_sequence.on_clap_sequence(self.on_sequence_detected)
def setUp(self):
self.clap_analyzer = ClapAnalyzer(
note_lengths=[1. / 4, 1. / 8, 1. / 8, 1. / 4, 1. / 4],
deviation_threshold=0.1)
self.clap_analyzer.on_clap_sequence(self.clap_sequence_callback)
self.num_clap_sequences_detected = 0
class TestClapAnalyzer(unittest.TestCase):
def setUp(self):
self.clap_analyzer = ClapAnalyzer(
note_lengths=[1. / 4, 1. / 8, 1. / 8, 1. / 4, 1. / 4],
deviation_threshold=0.1)
self.clap_analyzer.on_clap_sequence(self.clap_sequence_callback)
self.num_clap_sequences_detected = 0
def clap_sequence_callback(self):
self.num_clap_sequences_detected += 1
return None
def test_scenario1(self):
self.clap_analyzer.clap(0.414)
self.clap_analyzer.clap(0.660)
self.clap_analyzer.clap(0.796)
self.clap_analyzer.clap(0.905)
self.assertEquals(self.num_clap_sequences_detected, 0)
self.clap_analyzer.clap(1.155)
self.assertEquals(self.num_clap_sequences_detected, 1)
def test_scenario2(self):
self.clap_analyzer.clap(0.617)
self.clap_analyzer.clap(0.984)
self.clap_analyzer.clap(1.163)
self.clap_analyzer.clap(1.355)
self.assertEquals(self.num_clap_sequences_detected, 0)
self.clap_analyzer.clap(1.724)
self.assertEquals(self.num_clap_sequences_detected, 1)
self.clap_analyzer.clap(2.899)
self.clap_analyzer.clap(3.224)
self.clap_analyzer.clap(3.416)
self.clap_analyzer.clap(3.608)
self.assertEquals(self.num_clap_sequences_detected, 1)
self.clap_analyzer.clap(3.967)
self.assertEquals(self.num_clap_sequences_detected, 2)
self.clap_analyzer.clap(4.645)
self.clap_analyzer.clap(5.016)
def test_scenario3(self):
self.clap_analyzer.clap(0.0101)
self.clap_analyzer.clap(0.689)
self.clap_analyzer.clap(0.984)
self.clap_analyzer.clap(1.094)
self.clap_analyzer.clap(1.458)
self.clap_analyzer.clap(1.663)
self.clap_analyzer.clap(1.880)
self.clap_analyzer.clap(4.307)
self.clap_analyzer.clap(4.499)
self.clap_analyzer.clap(4.494)
self.clap_analyzer.clap(4.907)
self.clap_analyzer.clap(4.907)
self.clap_analyzer.clap(5.114)
self.clap_analyzer.clap(5.511)
self.assertEquals(self.num_clap_sequences_detected, 0)
class TestClapAnalyzer(unittest.TestCase):
def setUp(self):
self.clap_analyzer = ClapAnalyzer(
note_lengths=[1./4, 1./8, 1./8, 1./4, 1./4],
deviation_threshold=0.1
)
self.clap_analyzer.on_clap_sequence(self.clap_sequence_callback)
self.num_clap_sequences_detected = 0
def clap_sequence_callback(self):
self.num_clap_sequences_detected += 1
return None
def test_scenario1(self):
self.clap_analyzer.clap(0.414)
self.clap_analyzer.clap(0.660)
self.clap_analyzer.clap(0.796)
self.clap_analyzer.clap(0.905)
self.assertEquals(self.num_clap_sequences_detected, 0)
self.clap_analyzer.clap(1.155)
self.assertEquals(self.num_clap_sequences_detected, 1)
def test_scenario2(self):
self.clap_analyzer.clap(0.617)
self.clap_analyzer.clap(0.984)
self.clap_analyzer.clap(1.163)
self.clap_analyzer.clap(1.355)
self.assertEquals(self.num_clap_sequences_detected, 0)
self.clap_analyzer.clap(1.724)
self.assertEquals(self.num_clap_sequences_detected, 1)
self.clap_analyzer.clap(2.899)
self.clap_analyzer.clap(3.224)
self.clap_analyzer.clap(3.416)
self.clap_analyzer.clap(3.608)
self.assertEquals(self.num_clap_sequences_detected, 1)
self.clap_analyzer.clap(3.967)
self.assertEquals(self.num_clap_sequences_detected, 2)
self.clap_analyzer.clap(4.645)
self.clap_analyzer.clap(5.016)
def test_scenario3(self):
self.clap_analyzer.clap(0.0101)
self.clap_analyzer.clap(0.689)
self.clap_analyzer.clap(0.984)
self.clap_analyzer.clap(1.094)
self.clap_analyzer.clap(1.458)
self.clap_analyzer.clap(1.663)
self.clap_analyzer.clap(1.880)
self.clap_analyzer.clap(4.307)
self.clap_analyzer.clap(4.499)
self.clap_analyzer.clap(4.494)
self.clap_analyzer.clap(4.907)
self.clap_analyzer.clap(4.907)
self.clap_analyzer.clap(5.114)
self.clap_analyzer.clap(5.511)
self.assertEquals(self.num_clap_sequences_detected, 0)
def choice_sequence(id):
actual_sequence = ClapAnalyzer(
sequence[id],
deviation_threshold=0.1
)
actual_sequence.on_clap_sequence(on_sequence_detected)