Version 3.0.0

• MULTIPLE SERVICE SUPPORT! Now you can use Google Speech Recognition, Wit.ai, or IBM Speech to Text to obtain the recognition results.
• Filtering for clicks and pops. This drastically reduces the number of false positives in phrase recognition.
• Better usage examples - ready-to-run and better organized.

The API has also changed somewhat. Here's a quick upgrade guide:

• speech_recognition.Recognizer(language = "en-US", key = "AIzaSyBOti4mM-6x9WDnZIjIeyEU21OpBXqWBgw") changed to speech_recognition.Recognizer().
  • The key and language are now specified in the speech_recognition.recognize_* functions instead.
• For recognizer_instance.listen, speech_recognition.WaitTimeoutError exceptions are thrown rather than OSError exceptions upon timeout.
• The stop function returned by recognizer_instance.listen_in_background now blocks until the background listener actually stops before returning.
• recognizer_instance.recognize(audio_data, show_all = False) has changed to recognizer_instance.recognize_google(audio_data, key = None, language = "en-US", show_all = False).
  • Additionally, when show_all is set, the return value is the raw result from the API call, rather than a list of predictions and their confidences.
  • Note that we specify the key and language here now rather than in the speech_recognition.Recognizer() constructor.
  • speech_recognition.UnknownValueError is now thrown instead of LookupError when speech is unintelligible, and speech_recognition.RequestError is now thrown instead of IndexError or KeyError when recognition fails.
• Added recognizer_instance.recognize_wit and recognizer_instance.recognize_ibm for recognizing with Wit.ai or IBM Speech to Text.

To download, go to the PyPI page!