# beamform!
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()
buffer_size) / float(sampling_freq)
s1 = {'x': [0, 0], 'y': [0, 0]}
s2 = {'x': t[::under].tolist(), 'y': sig[::under].tolist()}
if decision:
# first is voiced, second is unvoiced
chart.send_data({'add': [s2, s1]})
if led_ring: led_ring.lightify_mono(rgb=[0, 255, 0], realtime=True)
else:
chart.send_data({'add': [s1, s2]})
if led_ring: led_ring.lightify_mono(rgb=[255, 0, 0], realtime=True)
frame_num += 1
"""Interface features"""
browserinterface.register_when_new_config(when_config)
browserinterface.register_handle_data(apply_vad)
chart = browserinterface.add_handler(
"Speech Detection", 'base:graph:line', {
'xName':
'Duration',
'min':
-10000,
'max':
10000,
'xLimitNb': (sampling_freq / under * num_sec),
'series': [{
'name': 'Voice',
'color': 'green'
}, {
'name': 'Unvoiced',