pyDubMod.py 文件源码

def recognize_wit(self, audio_data, key, show_all = False):
        """
        Performs speech recognition on ``audio_data`` (an ``AudioData`` instance), using the Wit.ai API.
        The Wit.ai API key is specified by ``key``. Unfortunately, these are not available without `signing up for an account <https://wit.ai/>`__ and creating an app. You will need to add at least one intent to the app before you can see the API key, though the actual intent settings don't matter.
        To get the API key for a Wit.ai app, go to the app's overview page, go to the section titled "Make an API request", and look for something along the lines of ``Authorization: Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX``; ``XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX`` is the API key. Wit.ai API keys are 32-character uppercase alphanumeric strings.
        The recognition language is configured in the Wit.ai app settings.
        Returns the most likely transcription if ``show_all`` is false (the default). Otherwise, returns the `raw API response <https://wit.ai/docs/http/20141022#get-intent-via-text-link>`__ as a JSON dictionary.
        Raises a ``speech_recognition.UnknownValueError`` exception if the speech is unintelligible. Raises a ``speech_recognition.RequestError`` exception if the speech recognition operation failed, if the key isn't valid, or if there is no internet connection.
        """
        try: # attempt to use the Python 2 modules
            from urllib import urlencode
            from urllib2 import Request, urlopen, URLError, HTTPError
        except ImportError: # use the Python 3 modules
            from urllib.parse import urlencode
            from urllib.request import Request, urlopen
            from urllib.error import URLError, HTTPError
        assert isinstance(audio_data, AudioData), "Data must be audio data"
        assert isinstance(key, str), "`key` must be a string"

        wav_data = audio_data.get_wav_data(
            convert_rate = None if audio_data.sample_rate >= 8000 else 8000, # audio samples must be at least 8 kHz
            convert_width = 2 # audio samples should be 16-bit
        )
        url = "https://api.wit.ai/speech?v=20141022"
        request = Request(url, data = wav_data, headers = {"Authorization": "Bearer {0}".format(key), "Content-Type": "audio/wav"})
        try:
            response = urlopen(request)
        except HTTPError as e:
            raise RequestError("recognition request failed: {0}".format(getattr(e, "reason", "status {0}".format(e.code)))) # use getattr to be compatible with Python 2.6
        except URLError as e:
            raise RequestError("recognition connection failed: {0}".format(e.reason))
        response_text = response.read().decode("utf-8")
        result = json.loads(response_text)

        # return results
        if show_all: return result
        if "_text" not in result or result["_text"] is None: raise UnknownValueError()
        return result["_text"]