def __init__(self, audio_file=None):
"""
Thread used to caught n audio from the microphone and pass it to a callback method
"""
super(SpeechRecognition, self).__init__()
self.recognizer = sr.Recognizer()
self.microphone = sr.Microphone()
self.callback = None
self.stop_thread = None
self.kill_yourself = False
self.audio_stream = None
# get global configuration
sl = SettingLoader()
self.settings = sl.settings
if audio_file is None:
# audio file not set, we need to capture a sample from the microphone
with self.microphone as source:
if self.settings.recognition_options.adjust_for_ambient_noise_second > 0:
# threshold is calculated from capturing ambient sound
logger.debug("[SpeechRecognition] threshold calculated by "
"capturing ambient noise during %s seconds" %
self.settings.recognition_options.adjust_for_ambient_noise_second)
Utils.print_info("[SpeechRecognition] capturing ambient sound during %s seconds" %
self.settings.recognition_options.adjust_for_ambient_noise_second)
self.recognizer.adjust_for_ambient_noise(source,
duration=self.settings.
recognition_options.adjust_for_ambient_noise_second)
else:
# threshold is defined manually
logger.debug("[SpeechRecognition] threshold defined by settings: %s" %
self.settings.recognition_options.energy_threshold)
self.recognizer.energy_threshold = self.settings.recognition_options.energy_threshold
Utils.print_info("Threshold set to: %s" % self.recognizer.energy_threshold)
else:
# audio file provided
with sr.AudioFile(audio_file) as source:
self.audio_stream = self.recognizer.record(source) # read the entire audio file
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