stft.analysis(audio)
stft.process()
# Send audio back to the browser
audio[:, 0] = np.sum(stft.synthesis(), axis=1)
audio[:, 1] = audio[:, 0]
audio[:, 2:] = 0
browserinterface.send_audio(audio)
else: # continue estimating covariance matrix
bf.estimate_cov(audio)
"""Interface features"""
browserinterface.register_when_new_config(init)
browserinterface.register_handle_data(beamform_audio)
polar_chart = browserinterface.add_handler(name="Beam pattern",
type='base:polar:line',
parameters={
'title': 'Beam pattern',
'series': ['Intensity'],
'numPoints': num_angles
})
"""START"""
browserinterface.start()
browserinterface.change_config(buffer_frames=buffer_size,
channels=num_channels,
rate=sampling_freq,
volume=80)
browserinterface.loop_callbacks()
# create the folder to save all the recordings
os.mkdir(RECORD_FOLDER)
# init turntable
if not args.simulate:
table = TurnTable(args.turntable)
# setup sounddevice
# init the browser interface
browserinterface.inform_browser = False
browserinterface.bi_board_ip = args.ip
browserinterface.start()
browserinterface.change_config(rate=SAMPLING_FREQUENCY,
channels=channels,
buffer_frames=BUFFER_SIZE,
volume=MIC_VOLUME)
# open the audio file
filename = '/'.join([SAMPLES_FOLDER, SAMPLES_FILENAME])
rate, audio = wavfile.read(filename)
audio = np.concatenate([np.zeros(rate // 2), audio])
# set interface rate
sd.default.samplerate = rate
# now loop for all the angles
for angle in range(*angle_range):
# position turntable