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test_speech_recognition.py
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import speech_recognition as sr
def recognize_speech_from_mic(recognizer, microphone):
"""Transcribe speech from recorded from `microphone`.
Returns a dictionary with three keys:
"success": a boolean indicating whether or not the API request was
successful
"error": `None` if no error occured, otherwise a string containing
an error message if the API could not be reached or
speech was unrecognizable
"transcription": `None` if speech could not be transcribed,
otherwise a string containing the transcribed text
"""
# check that recognizer and microphone arguments are appropriate type
if not isinstance(recognizer, sr.Recognizer):
raise TypeError("`recognizer` must be `Recognizer` instance")
if not isinstance(microphone, sr.Microphone):
raise TypeError("`microphone` must be `Microphone` instance")
# adjust the recognizer sensitivity to ambient noise and record audio
# from the microphone
with microphone as source:
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
# set up the response object
response = {
"success": True,
"error": None,
"transcription": None
}
# try recognizing the speech in the recording
# if a RequestError or UnknownValueError exception is caught,
# update the response object accordingly
try:
response["transcription"] = recognizer.recognize_google(audio)
except sr.RequestError:
# API was unreachable or unresponsive
response["success"] = False
response["error"] = "API unavailable"
except sr.UnknownValueError:
# speech was unintelligible
response["error"] = "Unable to recognize speech"
return response
recognizer = sr.Recognizer()
microphone = sr.Microphone()
PROMPT_LIMIT = 5
for j in range(PROMPT_LIMIT):
guess = recognize_speech_from_mic(recognizer, microphone)
if guess["transcription"]:
break
if not guess["success"]:
break
if guess["error"]:
print("ERROR: {}".format(guess["error"]))
else:
print(guess["transcription"])