def testMaxAudioWithBaselineShift(self):
low_base = b"".join(["\x10\x00\x01\x00"] * 100)
higher_base = b"".join(["\x01\x00\x00\x01"] * 100)
source = MockSource()
for i in xrange(100):
source.stream.inject(low_base)
source.stream.inject(higher_base)
recognizer = Recognizer()
recognizer.listen(source)
higher_base_energy = audioop.rms(higher_base, 2)
# after recalibration (because of max audio length) new threshold should be >= 1.5 * higher_base_energy
delta_below_threshold = recognizer.energy_threshold - higher_base_energy
min_delta = higher_base_energy * .5
assert abs(delta_below_threshold - min_delta) < 1
def testMaxAudioWithBaselineShift(self):
low_base = b"".join(["\x10\x00\x01\x00"] * 100)
higher_base = b"".join(["\x01\x00\x00\x01"] * 100)
source = MockSource()
for i in xrange(100):
source.stream.inject(low_base)
source.stream.inject(higher_base)
recognizer = Recognizer()
recognizer.listen(source)
higher_base_energy = audioop.rms(higher_base, 2)
# after recalibration (because of max audio length) new threshold should be >= 1.5 * higher_base_energy
delta_below_threshold = recognizer.energy_threshold - higher_base_energy
min_delta = higher_base_energy * .5
assert abs(delta_below_threshold - min_delta) < 1
def __init__(self,
channels=int(speech_config.get('channels')),
sample_rate=int(speech_config.get('sample_rate')),
device_index=None,
lang=core_config.get('lang')):
pyee.EventEmitter.__init__(self)
self.microphone = MutableMicrophone(sample_rate=sample_rate,
device_index=device_index)
# FIXME - channels are not been used
self.microphone.CHANNELS = channels
self.mycroft_recognizer = LocalRecognizer(sample_rate, lang)
# TODO - localization
self.wakeup_recognizer = LocalRecognizer(sample_rate, lang, "wake up")
self.remote_recognizer = Recognizer()
self.state = RecognizerLoopState()
def __init__(self,
channels=int(speech_config.get('channels')),
sample_rate=int(speech_config.get('sample_rate')),
device_index=None,
lang=core_config.get('lang')):
pyee.EventEmitter.__init__(self)
self.microphone = MutableMicrophone(sample_rate=sample_rate,
device_index=device_index)
self.microphone.CHANNELS = channels
self.ww_recognizer = wakeword_recognizer.create_recognizer(
samprate=sample_rate, lang=lang)
self.wakeup_recognizer = wakeword_recognizer.create_recognizer(
samprate=sample_rate, lang=lang,
keyphrase="wake up mycroft") # TODO - localization
self.remote_recognizer = Recognizer()
basedir = os.path.dirname(__file__)
self.wakeup_words = read_stripped_lines(
os.path.join(basedir, 'model', lang, 'WakeUpWord.voc'))
self.wakeup_prefixes = read_stripped_lines(
os.path.join(basedir, 'model', lang, 'PrefixWakeUp.voc'))
self.state = RecognizerLoopState()