mirror of
https://github.com/liberatedsystems/openCom-Companion.git
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189 lines
4.5 KiB
Python
189 lines
4.5 KiB
Python
'''
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Speech to Text
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==============
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.. versionadded:: 1.4.0
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Speech Recognition facade.
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In order to check that your device supports voice recognition use method
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`exist`.
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Variable `language` indicates which language will be used to match words from
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voice.
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Use `start` to start voice recognition immediately and `stop` to stop.
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.. note::
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Needed permissions for Android: `RECORD_AUDIO` (and `INTERNET` if you want
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online voice recognition API to be used)
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.. note::
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On Android platform, after execute `start` method you can hear BEEP!
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Mute sound in order to disable it.
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.. note::
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For Android implementation to work there has to be an application with
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`android.speech.RecognitionService` implementation present in the system.
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Mostly it's `com.google.android.googlequicksearchbox` or "Google"
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application (the search bar with the launcher widget).
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Offline Speech Recognition on Android
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-------------------------------------
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Requires any application that provides an
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`android.speech.RecognitionService` implementation to the other apps. One of
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such applications is on a lot of devices preinstalled Google (quick search
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box).
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The API prefers offline recognition, but should be able to switch to online
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alternative in case you don't have a language package installed (`INTERNET`
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permission necessary).
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You can enable offline speech recognition this way (Android 8.1):
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* open the `Settings` app
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* choose `Language & Input` / `Language & Keyboard` (Samsung might include it
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in the `General` category)
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* choose `On-Screen keyboard` or `Voice search`
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* choose `Google Keyboard`
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* choose `Offline Speech recognition`
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* download language package if you don't have one already
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Simple Examples
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---------------
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To start listening::
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>>> from plyer import stt
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>>> stt.start()
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To retrieve partial results while listening::
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>>> assert stt.listening
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>>> print(stt.partial_results)
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To stop listening::
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>>> stt.stop()
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To retrieve results after the listening stopped::
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>>> print(stt.results)
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'''
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class STT:
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'''
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Speech to text facade.
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'''
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_language = 'en-US'
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'''
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Default language in which platform will try to recognize voice.
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In order to change language pick one from list by using
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`supported_languages` method.
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'''
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_supported_languages = [
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'en-US',
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'pl-PL'
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]
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results = []
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'''
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List of sentences found while listening. It may consist of many similar
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and possible sentences that was recognition program.
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'''
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errors = []
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'''
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List of errors found while listening.
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'''
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partial_results = []
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'''
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List of results found while the listener is still being active.
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'''
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prefer_offline = True
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'''
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Preference whether to use offline language package necessary for
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each platform dependant implementation or online API.
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'''
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listening = False
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'''
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Current state of listening.
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'''
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@property
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def supported_languages(self):
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'''
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Return list of supported languages used in recognition.
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'''
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return self._supported_languages
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@property
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def language(self):
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'''
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Return current language.
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'''
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return self._language
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@language.setter
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def language(self, lang):
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'''
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Set current language.
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Value can not be set if it's not supported. See `supported_languages`
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to get what language you can set.
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.. note::
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We obviously can't check each language, therefore if you find
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that a specific language is available to you and the only limitation
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is our check for the internally defined `supported_languages`, feel
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free to open a pull request for adding your language to the list.
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'''
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if lang in self.supported_languages:
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self._language = lang
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# public methods
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def start(self):
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'''
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Start listening.
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'''
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self.results = []
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self.partial_results = []
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self._start()
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self.listening = True
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def stop(self):
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'''
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Stop listening.
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'''
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self._stop()
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self.listening = False
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def exist(self):
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'''
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Returns a boolean for speech recognition availability.
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'''
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return self._exist()
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# private methods
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def _start(self):
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raise NotImplementedError
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def _stop(self):
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raise NotImplementedError
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def _exist(self):
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raise NotImplementedError
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