def test_merge_frames(self):
"""
Merges frames back into a single array presenting a reconstructed audio signal.
"""
expected_array = np.array([0, 1, 2, 3, 3.4, 4.25, 6, 7, 6.8, 7.65, 10, 11, 10.2, 11.05, 14, 15, 0, 0])
input_array = segment_axis(np.arange(0, 16), 6, 2, end="pad")
fake_lpc_frame_array = LPCFrameArray(1, 2, input_array)
fake_synthesizer = Synthesizer(fake_lpc_frame_array)
result_array = fake_synthesizer._merge_frames(input_array)
assert_array_almost_equal(expected_array, result_array)
def main():
fname = sys.argv[1]
title = parse_fname(fname)
infile = "../audio/" + fname
outfile = "../build/" + title + ".ro"
analysis = FFT_Analyzer(infile)
analysis.perform_analysis()
analysis.stft(20)
analysis.get_modal_data(30)
out = writeRObU(outfile, analysis.modal_model)
out.write()
synth = Synthesizer(analysis, title)
synth.write_wav()
def record_and_play_audio():
record_seconds = 5
fs = 44100
p = pyaudio.PyAudio()
odata = np.zeros(fs * record_seconds)
print "Recording audio for the next {0} seconds".format(record_seconds)
record_audio(odata, p, fs, record_seconds)
wavio.write("before.wav", 44100, odata)
print "Audio has recorded, stand by for voice"
play_audio(odata, p, fs)
print "Encoding and decoding voice through vocoder"
analyzer = Analyzer(odata, 10e-3)
lpc_frame_array = analyzer.encode()
synthesizer = Synthesizer(lpc_frame_array)
reconstructed_signal = synthesizer.decode()
wavio.write("test.wav", 441000, reconstructed_signal)
print "Playing reconstructed audio"
play_audio(reconstructed_signal, p, fs)
p.terminate()
