def get_keyword_phrases():
"""
Gets the keyword phrases from the keywords file in the jasper data dir.
Returns:
A list of keyword phrases.
"""
phrases = []
with open(saschapath.data('keyword_phrases'), mode="r") as f:
for line in f:
phrase = line.strip()
if phrase:
phrases.append(phrase)
return phrases
def activeListenToAllOptions(self, THRESHOLD=None, LISTEN=True,
MUSIC=False):
"""
Records until a second of silence or times out after 12 seconds
Returns a list of the matching options or None
"""
RATE = 16000
CHUNK = 1024
LISTEN_TIME = 12
# check if no threshold provided
if THRESHOLD is None:
THRESHOLD = self.fetchThreshold()
self.speaker.play(saschapath.data('audio', 'beep_hi.wav'))
# serial.init()
# print("Serial Beep")
# serial.send_raw("beep_high")
# sleep(1)
print("Opening audio stream")
# prepare recording stream
stream = self._audio.open(format=pyaudio.paInt16,
channels=1,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
frames = []
# increasing the range # results in longer pause after command
# generation
lastN = [THRESHOLD * 1.2 for i in range(30)]
for i in range(0, RATE / CHUNK * LISTEN_TIME):
data = stream.read(CHUNK)
frames.append(data)
score = self.getScore(data)
lastN.pop(0)
lastN.append(score)
average = sum(lastN) / float(len(lastN))
# TODO: 0.8 should not be a MAGIC NUMBER!
if average < THRESHOLD * 0.8:
break
self.speaker.play(saschapath.data('audio', 'beep_lo.wav'))
# serial.send_raw("beep_low")
# serial.quit()
# save the audio data
stream.stop_stream()
stream.close()
with tempfile.SpooledTemporaryFile(mode='w+b') as f:
wav_fp = wave.open(f, 'wb')
wav_fp.setnchannels(1)
wav_fp.setsampwidth(pyaudio.get_sample_size(pyaudio.paInt16))
wav_fp.setframerate(RATE)
wav_fp.writeframes(''.join(frames))
wav_fp.close()
f.seek(0)
mode = (TranscriptionMode.MUSIC if MUSIC
else TranscriptionMode.NORMAL)
transcribed = self.active_stt_engine.transcribe(f, mode=mode)
return transcribed
