class csv_dtmf():
def __init__(self):
self.my_dtmf = DTMF()
def read_scale(self, file_name): # 譜面データを読み込み、配列にして返す
scale_data = []
csv_reader = csv.reader(open(file_name+'.csv', 'rb'), delimiter=',', quotechar=',')
for row in csv_reader:
scale_data.append(row)
return scale_data
def create_dtmf(self, data):
wave_data = ''
for d in data:
wave_data += self.my_dtmf.create_dtmf(DTMF_AMPLITUDE, d[0], float(d[1]))
return wave_data
def save_wave(self, wave_data, file_name):
self.my_dtmf.save(wave_data, 8000, 16, file_name)
if __name__ == '__main__':
decorder = csv_dtmf()
player = PLAY_WAVE()
scale_data = decorder.read_scale(FILE_NAME)
wave_data = decorder.create_dtmf(scale_data)
decorder.save_wave(wave_data, FILE_NAME+'.wav')
player.play(FILE_NAME+'.wav')
if max(spec) >= 2000 and np.argmax(spec) > 3:
print('spec: %s' % str(max(spec)))
max_list_num = np.argmax(spec)
print('Max : %8.3f , %s, %s' % (
self.freq_list[max_list_num][0],
self.my_piano.octa_mark[self.freq_list[max_list_num][1]],
self.my_piano.onkai[self.freq_list[max_list_num][2]])
)
sound_data.append(phone_scale[self.freq_list[max_list_num][2]])
else:
print('none')
sound_data.append('N')
self.specItem.plot(spec, clear=True)
QtGui.QApplication.processEvents()
self.save_score_data(sound_data, self.chunk/float(self.fs), OUTPUT_FILE_NAME)
self.stream.close()
self.p.terminate()
if __name__ == '__main__':
speana = C_spectrumAnalyzer()
speana.setup_windo()
speana.spectrumAnalyzer()
w_player = PLAY_WAVE()
w_player.play(OUTPUT_FILE_NAME+'.wav')