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()
class LocalRecognizerTest(unittest.TestCase):
def setUp(self):
self.recognizer = LocalRecognizer()
def testRecognizerWrapper(self):
source = WavFile(os.path.join(DATA_DIR, "hey_mycroft.wav"))
with source as audio:
hyp = self.recognizer.transcribe(audio.stream.read())
assert "mycroft" in hyp.hypstr.lower()
source = WavFile(os.path.join(DATA_DIR, "mycroft.wav"))
with source as audio:
hyp = self.recognizer.transcribe(audio.stream.read())
assert "mycroft" in hyp.hypstr.lower()
def testRecognitionInLongerUtterance(self):
source = WavFile(os.path.join(DATA_DIR, "weather_mycroft.wav"))
with source as audio:
hyp = self.recognizer.transcribe(audio.stream.read())
assert "mycroft" in hyp.hypstr.lower()
def setUp(self):
self.loop = RecognizerLoop()
self.queue = Queue()
self.recognizer = MockRecognizer()
self.consumer = AudioConsumer(
self.loop.state, self.queue, self.loop, MycroftSTT(),
LocalRecognizer(self.loop.wakeup_recognizer.key_phrase,
self.loop.wakeup_recognizer.phonemes, "1e-16"),
self.loop.mycroft_recognizer)
def setUp(self):
self.loop = RecognizerLoop()
self.queue = Queue()
self.recognizer = MockRecognizer()
self.consumer = AudioConsumer(
self.loop.state, self.queue, self.loop,
LocalRecognizer(self.loop.wakeup_recognizer.key_phrase,
self.loop.wakeup_recognizer.phonemes, "1e-16"),
self.loop.mycroft_recognizer,
RemoteRecognizerWrapperFactory.wrap_recognizer(
self.recognizer, 'google'))
def __init__(self, samp_rate):
self.ww_recognizer = LocalRecognizer(samp_rate, 'en-us')
self.listener = ResponsiveRecognizer(self.ww_recognizer)
speech_logger.setLevel(100) # Disables logging to clean output
def create_wakeup_recognizer(rate, lang):
return LocalRecognizer("wake up", "W EY K . AH P", 1e-10, rate, lang)
def create_mycroft_recognizer(self, rate, lang):
wake_word = self.config.get('wake_word')
LOG.debug("Using wake word %s" % wake_word)
phonemes = self.config.get('phonemes')
threshold = self.config.get('threshold')
return LocalRecognizer(wake_word, phonemes, threshold, rate, lang)
def create_wakeup_recognizer(self, rate, lang):
wake_word = self.config.get('standup_word', "wake up")
phonemes = self.config.get('standup_phonemes', "W EY K . AH P")
threshold = self.config.get('standup_threshold', 1e-10)
return LocalRecognizer(wake_word, phonemes, threshold, rate, lang)
def create_mycroft_recognizer(self, rate, lang):
# Create a local recognizer to hear the wakeup word, e.g. 'Hey Mycroft'
wake_word = self.config.get('wake_word')
phonemes = self.config.get('phonemes')
threshold = self.config.get('threshold')
return LocalRecognizer(wake_word, phonemes, threshold, rate, lang)
def create_mycroft_recognizer(rate, lang):
wake_word = listener_config.get('wake_word')
phonemes = listener_config.get('phonemes')
threshold = listener_config.get('threshold')
return LocalRecognizer(wake_word, phonemes, threshold, rate, lang)
def setUp(self):
self.recognizer = LocalRecognizer()
def create_wakeup_recognizer(rate, lang):
return LocalRecognizer("wake up", "1e-10", rate, lang)
def create_mycroft_recognizer(rate, lang):
return LocalRecognizer("hey mycroft", "1e-90", rate, lang)