def __init__(self, callback=None, **kwargs):
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
self.main_controller_callback = callback
self.language = kwargs.get('language', "model-fr")
self.log_level = kwargs.get('log_level', -1)
self.grammar_file = kwargs.get('grammar_file', None)
self.set_callback(self.deepspeech_callback)
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with CMU sphinx api
:param callback: The callback function to call to send the text
:param kwargs:
"""
SpeechRecognition.__init__(self)
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
# start listening in the background
self.set_callback(self.sphinx_callback)
self.start_listening()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with Vosk
:param callback: The callback function to call to send the text
:param kwargs:
"""
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
self.main_controller_callback = callback
self.language = kwargs.get('language', "model-fr")
self.grammar_file = kwargs.get('grammar_file', None)
self.set_callback(self.vosk_callback)
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with CMU sphinx api
:param callback: The callback function to call to send the text
:param kwargs:
"""
# give the audio file path to process directly to the mother class if exist
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
# start listening in the background
self.set_callback(self.sphinx_callback)
# start processing, record a sample from the microphone if no audio file path provided, else read the file
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with Wit.ai api
:param callback: The callback function to call to send the text
:param kwargs:
"""
SpeechRecognition.__init__(self)
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.key = kwargs.get('key', None)
self.show_all = kwargs.get('show_all', False)
# start listening in the background
self.set_callback(self.wit_callback)
self.start_listening()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with Wit.ai api
:param callback: The callback function to call to send the text
:param kwargs:
"""
# give the audio file path to process directly to the mother class if exist
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.key = kwargs.get('key', None)
self.show_all = kwargs.get('show_all', False)
# start listening in the background
self.set_callback(self.wit_callback)
# start processing, record a sample from the microphone if no audio file path provided, else read the file
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with Houndify api
:param callback: The callback function to call to send the text
:param kwargs:
"""
SpeechRecognition.__init__(self)
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.client_id = kwargs.get('client_id', None)
self.key = kwargs.get('key', None)
# only english supported
# self.language = kwargs.get('language', "en-US")
self.show_all = kwargs.get('show_all', False)
# start listening in the background
self.set_callback(self.houndify_callback)
self.start_listening()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with google api
:param callback: The callback function to call to send the text
:param kwargs:
"""
# give the audio file path to process directly to the mother class if exist
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.key = kwargs.get('key', None)
self.language = kwargs.get('language', "en-US")
self.show_all = kwargs.get('show_all', False)
# set the callback that will process the audio stream
self.set_callback(self.google_callback)
# start processing, record a sample from the microphone if no audio file path provided, else read the file
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with CMU sphinx api
:param callback: The callback function to call to send the text
:param kwargs:
"""
# give the audio file path to process directly to the mother class if exist
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.language = kwargs.get('language', "en-US")
self.keyword_entries = kwargs.get('keyword_entries', None)
# ge the grammar file if exist
self.grammar_file = kwargs.get('grammar_file', None)
# start listening in the background
self.set_callback(self.sphinx_callback)
# start processing, record a sample from the microphone if no audio file path provided, else read the file
self.start_processing()
def __init__(self, callback=None, **kwargs):
"""
Start recording the microphone and analyse audio with Houndify api
:param callback: The callback function to call to send the text
:param kwargs:
"""
# give the audio file path to process directly to the mother class if exist
SpeechRecognition.__init__(self, kwargs.get('audio_file_path', None))
# callback function to call after the translation speech/tex
self.main_controller_callback = callback
self.client_id = kwargs.get('client_id', None)
self.key = kwargs.get('key', None)
# only english supported
# self.language = kwargs.get('language', "en-US")
self.show_all = kwargs.get('show_all', False)
# start listening in the background
self.set_callback(self.houndify_callback)
# start processing, record a sample from the microphone if no audio file path provided, else read the file
self.start_processing()