def run(self):
"""
This runs the speech recorder.
importing audio here because we don't want PyAudio to be a requirement
if people don't want to do live recording.
PyAudio connects to the microphone and is only needed for live recording.
"""
from audio import AudioRecorder
loader = SingleInputLoader(128)
recorder = AudioRecorder()
with tf.Session() as sess:
model = create_default_model('record', 128, loader)
model.restore(sess, 'train/best-weights')
while True:
print('Listening...')
audio, width = recorder.record()
audio = np.array(audio)
#calculate the power spectrum of the audio and of sampling rate 16000
input_ = preprocess.calculatePowerSpectrogram(audio, 16000)
loader.set_input(input_)
[decoded] = model.step(sess,
loss=False,
update=False,
decode=True)
decoded_ids_paths = [
Test.extract_decoded_ids(path) for path in decoded
]
for decoded_path in decoded_ids_paths:
decoded_ids = next(decoded_path)
decoded_str = self.idsToSentence(decoded_ids)
print('Predicted: {}'.format(decoded_str))
