Python speech_recognition.UnknownValueError() Examples

def OnClicked(self):
		"""Recognizes the audio and sends it for display to displayText."""
		r = sr.Recognizer()
		with sr.Microphone() as source:
			speak.say('Hey I am Listening ')
			speak.runAndWait()
			audio = r.listen(source)
		try:
			put=r.recognize_google(audio)

			self.displayText(put)
			self.textBox.insert('1.2',put)
			self.textBox.delete('1.2',tk.END)
			events(self,put)
		except sr.UnknownValueError:
			self.displayText("Could not understand audio")
		except sr.RequestError as e:
			self.displayText("Could not request results; {0}".format(e)) 

def voice_input():
    global a2t
    r = sr.Recognizer()
    with sr.Microphone() as source:
        #r.adjust_for_ambient_noise(source)
        r.record(source,duration=2)
        print("Say something!")
        audio = r.listen(source)
    try:
        a2t=r.recognize_sphinx(audio,keyword_entries=[('forward',1.0),('backward',1.0),('left',1.0),('right',1.0),('stop',1.0),('find line',0.95),('follow',1),('lights on',1),('lights off',1)])
        print("Sphinx thinks you said " + a2t)
    except sr.UnknownValueError:
        print("Sphinx could not understand audio")
    except sr.RequestError as e:
        print("Sphinx error; {0}".format(e))
    BtnVIN.config(fg=color_text,bg=color_btn)
    return a2t 

def OnClicked(self):
		"""Recognizes the audio and sends it for display to displayText."""
		r = sr.Recognizer()
		with sr.Microphone() as source:
			system('say Hey I am Listening ')
			
			audio = r.listen(source)
		try:
			put=r.recognize_google(audio)

			self.displayText(put)
			self.textBox.insert('1.2',put)
			put=put.lower()
			put = put.strip()
			#put = re.sub(r'[?|$|.|!]', r'', put)
			link=put.split()
			events(self,put,link)
		except sr.UnknownValueError:
			self.displayText("Could not understand audio")
		except sr.RequestError as e:
			self.displayText("Could not request results; {0}".format(e)) 

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) # #  analyze the audio source for 1 second
        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/unresponsive"
    except sr.UnknownValueError:
        # speech was unintelligible
        response["error"] = "Unable to recognize speech"

    return response

#%% 

def speechRecognition():
    # obtain audio from the microphone 
    print("Press 'y' to start~")
    inputdata = input()
    if inputdata == 'y':
        inputdata = 0
        r = sr.Recognizer()
        with sr.Microphone() as source:
            print("Say something!")
            audio = r.listen(source)
        # recognize speech using Google Speech Recognition
        try:
        # for testing purposes, we're just using the default API key
        # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
        # instead of `r.recognize_google(audio)`
            recSuccess = 1
            recContent = r.recognize_google(audio)
            print("Speech Recognition thinks you said " + recContent)#,language="cmn-Hant-TW")
            return recContent
        except sr.UnknownValueError:
            print("Could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Google Speech Recognition service; {0}".format(e)) 

def voice_input():
    global a2t
    r = sr.Recognizer()
    with sr.Microphone() as source:
        #r.adjust_for_ambient_noise(source)
        r.record(source,duration=2)
        print("Say something!")
        audio = r.listen(source)
    try:
        a2t=r.recognize_sphinx(audio,keyword_entries=[('forward',1.0),('backward',1.0),('left',1.0),('right',1.0),('stop',1.0),('find line',0.95),('follow',1),('lights on',1),('lights off',1)])
        print("Sphinx thinks you said " + a2t)
    except sr.UnknownValueError:
        print("Sphinx could not understand audio")
    except sr.RequestError as e:
        print("Sphinx error; {0}".format(e))
    BtnVIN.config(fg=color_text,bg=color_btn)
    return a2t 

def listen():
    #obtain audio from the microphone
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print("Say something!")
        r.adjust_for_ambient_noise(source, duration=0.5)
        audio = r.listen(source)
    #recognize speech using Google Speech Recognition
    try:
        var=r.recognize_google(audio)
    except sr.UnknownValueError:
        var="Groot could not understand audio"
    except sr.RequestError:
        var=" Looks like, there is some problem with Google Speech Recognition"

    return var

    #will show all posible text from audio
    #print(r.recognize_google(audio, show_all=True)) 

def OnClicked(self):
		"""Recognizes the audio and sends it for display to displayText."""
		r = sr.Recognizer()
		with sr.Microphone() as source:
			speak.say('Hey I am Listening ')
			speak.runAndWait()
			audio = r.listen(source)
		try:
			put=r.recognize_google(audio)
			self.displayText(put)
			self.textBox.insert('1.2',put)
			self.textBox.delete('1.2',tk.END)
			events(self,put)
		except sr.UnknownValueError:
			self.displayText("Could not understand audio")
		except sr.RequestError as e:
			self.displayText("Could not request results; {0}".format(e)) 

def convert(self):

        with sr.Microphone() as source:
            print "listening..."
            audio = self.recognizer.listen(source)

        text = None

        try:
            text = self.recognizer.recognize_google(audio)
            print text
        except sr.UnknownValueError:
            print "Google Speech Recognition could not understand audio"
        except sr.RequestError:
            print "Could not request results from Google Speech Recognition service"

        return text 

def _get_target(recognizer, audio):
    target = None
    text = None

    # use Google Speech Recognition to resolve audio to Yes or No
    try:
        text = recognizer.recognize_google(audio).lower()
        print text
    except sr.UnknownValueError:
        print "Google Speech Recognition could not understand audio"
    except sr.RequestError:
        print "Could not request results from Google Speech Recognition service"

    if not text: return

    # obtain target data i.e. 0 for Yes, 1 for No
    try:
        target = AUDIO_CLASSES.index(text)
    except ValueError:
        return

    return target

# get neural network input data 

def start_speech_recording(tmp): 
# Record Audio
    global recognised_speech
    BING_KEY = "cfee7d6db79d4671b9cea936da4689d7" 
    while True:
        r = sr.Recognizer()
        with sr.Microphone() as source:
            print("Say something!")
            r.adjust_for_ambient_noise(source, duration = 1)
            audio = r.listen(source)
        
        try:
            recognised_speech = r.recognize_bing(audio, key=BING_KEY).lower()
            print("Microsoft Bing Voice Recognition thinks you said:" + recognised_speech)
            if "hallo" in recognised_speech or "wakeup" in recognised_speech or "start" in recognised_speech or "makeup" in recognised_speech or "star" in recognised_speech or "breakup" in recognised_speech:
                thread.start_new_thread( face_identify, (3, ) )       
        except sr.UnknownValueError:
            print("Microsoft Bing Voice Recognition could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e)) 

def recognize_from_api(audio, api, name='API', safe=True, **kwargs):
    if not isinstance(audio, sr.AudioData):
        with sr.AudioFile(audio) as source:
            audio = r.record(source)
    try:
        return api(audio, **kwargs)
    except sr.UnknownValueError as e:
        if not safe:
            raise e
        return "\t%s could not understand audio" % name
    except sr.RequestError as e:
        if not safe:
            raise e
        return "\tCould not request results from %s \
    service; {0}" % (name, e) 

def main():
	# obtain audio from the microphone
	while True:
	    r = sr.Recognizer()
	    with sr.Microphone() as source:
		print("listening...")		
		audio = r.listen(source)
		print("sa")
	    # recognize speech using Google Speech Recognition
	    try:
		# for testing purposes, we're just using the default API key
		# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
		# instead of `r.recognize_google(audio)`
		print("as")		
		command = r.recognize_google(audio)
		print("You said: " + command)
		
	    #exception handling
	    except sr.UnknownValueError:
		print("I could not understand audio")
	    except sr.RequestError as e:
		print("Could not request results from Speech Recognition service; {0}".format(e)) 

def speech_to_text(self, audio_source):
        # Initialize a new recognizer with the audio in memory as source
        recognizer = sr.Recognizer()
        with sr.AudioFile(audio_source) as source:
            audio = recognizer.record(source) # read the entire audio file

        audio_output = ""
        # recognize speech using Google Speech Recognition
        try:
            audio_output = recognizer.recognize_google(audio)
            print("[{0}] Google Speech Recognition: ".format(self.current_iteration) + audio_output)
            # Check if we got harder audio captcha
            if any(character.isalpha() for character in audio_output):
                # Use Houndify to detect the harder audio captcha
                print("[{0}] Fallback to Houndify!".format(self.current_iteration))
                audio_output = self.string_to_digits(recognizer.recognize_houndify(audio, client_id=HOUNDIFY_CLIENT_ID, client_key=HOUNDIFY_CLIENT_KEY))
                print("[{0}] Houndify: ".format(self.current_iteration) + audio_output)
        except sr.UnknownValueError:
            print("[{0}] Google Speech Recognition could not understand audio".format(self.current_iteration))
        except sr.RequestError as e:
            print("[{0}] Could not request results from Google Speech Recognition service; {1}".format(self.current_iteration).format(e))
            
        return audio_output 

def start_speech_recording(tmp): 
# Record Audio
    global recognised_speech 
    while True:
        r = sr.Recognizer()
        with sr.Microphone() as source:
            print("Say something!")
            r.adjust_for_ambient_noise(source, duration = 1)
            audio = r.listen(source)
        
        try:
            recognised_speech = r.recognize_google(audio).lower()
            print("You said: " + r.recognize_google(audio))
            if "hallo" in recognised_speech or "wakeup" in recognised_speech or "start" in recognised_speech or "makeup" in recognised_speech or "star" in recognised_speech or "breakup" in recognised_speech:
                thread.start_new_thread( face_identify, (3, ) )       
        except sr.UnknownValueError:
            print("Google Speech Recognition could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Google Speech Recognition service; {0}".format(e)) 

def Listener():
    global broadcastMSG
    while(1):
        # obtain audio from the microphone
        r = sr.Recognizer()
        with sr.Microphone() as source:
            print("Say something!")
            audio = r.listen(source)

        # recognize speech using Google Speech Recognition
        try:
            recognizedCommand = r.recognize_google(audio);
            print("Google Speech Recognition thinks you said " + recognizedCommand)
            if(recognizedCommand == "start"):
                broadcastMSG = "start"
            elif(recognizedCommand == "stop"):
                broadcastMSG = "stop"
            elif(recognizedCommand == "clockwise"):
                broadcastMSG = "clockwise"
            elif(recognizedCommand == "counter clockwise"):
                broadcastMSG = "counter clockwise"
        except sr.UnknownValueError:
            print("Google Speech Recognition could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Google Speech Recognition service; {0}".format(e)) 

def _google_stt(self):
        """
        Uses Google's Speech to Text engine to
        understand speech and convert it into
        text.
        :return: String, either the spoken text or error text.
        """
        click.echo("Please speak now")
        # Listen to the microphone set up in the __init__ file.
        with self.microphone as mic_source:
            audio = self.recognizer.listen(mic_source)
        click.echo("Processing audio")
        try:
            # Try to recognize the text
            return self.recognizer.recognize_google(audio, show_all=self.debugging)
        except sr.UnknownValueError:  # speech is unintelligible
            return "Google could not understand the audio."
        except sr.RequestError:
            return "Could not request results from Google's speech recognition service." 

def google_callback(self, recognizer, audio):
        """
        called from the background thread
        """
        try:
            captured_audio = recognizer.recognize_google(audio,
                                                         key=self.key,
                                                         language=self.language,
                                                         show_all=self.show_all)
            Utils.print_success("Google Speech Recognition thinks you said %s" % captured_audio)
            self._analyse_audio(audio_to_text=captured_audio)
        except sr.UnknownValueError:
            Utils.print_warning("Google Speech Recognition could not understand audio")
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except sr.RequestError as e:
            Utils.print_danger("Could not request results from Google Speech Recognition service; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except AssertionError:
            Utils.print_warning("No audio caught from microphone")
            self._analyse_audio(audio_to_text=None) 

def bing_callback(self, recognizer, audio):
        """
        called from the background thread
        """
        try:
            captured_audio = recognizer.recognize_bing(audio,
                                                       key=self.key,
                                                       language=self.language,
                                                       show_all=self.show_all)
            Utils.print_success("Bing Speech Recognition thinks you said %s" % captured_audio)
            self._analyse_audio(captured_audio)

        except sr.UnknownValueError:
            Utils.print_warning("Bing Speech Recognition could not understand audio")
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except sr.RequestError as e:
            Utils.print_danger("Could not request results from Bing Speech Recognition service; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except AssertionError:
            Utils.print_warning("No audio caught from microphone")
            self._analyse_audio(audio_to_text=None) 

def sphinx_callback(self, recognizer, audio):
        """
        called from the background thread
        """
        try:
            captured_audio = recognizer.recognize_sphinx(audio,
                                                         language=self.language,
                                                         keyword_entries=self.keyword_entries,
                                                         grammar=self.grammar_file)
            Utils.print_success("Sphinx Speech Recognition thinks you said %s" % captured_audio)
            self._analyse_audio(captured_audio)

        except sr.UnknownValueError:
            Utils.print_warning("Sphinx Speech Recognition could not understand audio")
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except sr.RequestError as e:
            Utils.print_danger("Could not request results from Sphinx Speech Recognition service; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except AssertionError:
            Utils.print_warning("No audio caught from microphone")
            self._analyse_audio(audio_to_text=None) 

def wit_callback(self, recognizer, audio):
        try:
            captured_audio = recognizer.recognize_wit(audio,
                                                      key=self.key,
                                                      show_all=self.show_all)
            Utils.print_success("Wit.ai Speech Recognition thinks you said %s" % captured_audio)
            self._analyse_audio(captured_audio)

        except sr.UnknownValueError:
            Utils.print_warning("Wit.ai Speech Recognition could not understand audio")
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except sr.RequestError as e:
            Utils.print_danger("Could not request results from Wit.ai Speech Recognition service; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except AssertionError:
            Utils.print_warning("No audio caught from microphone")
            self._analyse_audio(audio_to_text=None) 

def sphinx(audio, vals, i, results_dict, timing):
	try:
		#print("Sphinx: ")
		s = time.time()
		vals[i] = text_to_num(r.recognize_sphinx(audio), "sphinx", results_dict)
		timing["sphinx"].append(time.time() - s)
		print "timing2", timing
	except sr.UnknownValueError:
		logging.debug("Sphinx could not understand audio")
		results_dict["sphinx"] = [DEFAULT]
		results_dict["sphinx_fil"] = [DEFAULT]
	except sr.RequestError as e:
		logging.debug("Sphinx error; {0}".format(e))
		results_dict["sphinx"] = [DEFAULT]
		results_dict["sphinx_fil"] = [DEFAULT]
#Query Google Cloud 

def ibm(audio, vals, i, results_dict, timing, show_all=False):
	# recognize speech using IBM Speech to Text
	IBM_USERNAME = "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"  # IBM Speech to Text usernames are strings of the form XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
	IBM_PASSWORD = "XXXXXXXXXX"  # IBM Speech to Text passwords are mixed-case alphanumeric strings
	try:
		s = time.time()
		#print("IBM Speech to Text: ")
		vals[i] = text_to_num(r.recognize_ibm(audio, username=IBM_USERNAME, \
		password=IBM_PASSWORD, show_all=False), "ibm", results_dict)
		timing["ibm"].append(time.time() - s)
	except sr.UnknownValueError:
		logging.debug("IBM Speech to Text could not understand audio")
		results_dict["ibm"] = [DEFAULT]
		results_dict["ibm_fil"] = [DEFAULT]
	except sr.RequestError as e:
		logging.debug("Could not request results from IBM Speech to Text service; {0}".format(e))
		results_dict["ibm"] = [DEFAULT]
		results_dict["ibm_fil"] = [DEFAULT]
#Query Google Speech-To-Text 

def bing(audio, vals, i, results_dict, timing):
	# recognize speech using Microsoft Bing Voice Recognition
	# Microsoft Bing Voice Recognition API keys 32-character lowercase hexadecimal strings
		
	BING_KEY = "XXXXXXXXXXXXXXXXXXXXXXXXXXXX"
	try:
		s = time.time()
		#print("Microsoft Bing Voice Recognition: ")
		vals[i] = text_to_num(r.recognize_bing(audio, key=BING_KEY), "bing", results_dict)
		timing["bing"].append(time.time() - s)
	except sr.UnknownValueError:
		logging.debug("Microsoft Bing Voice Recognition could not understand audio")
		results_dict["bing"] = [DEFAULT]
		results_dict["bing_fil"] = [DEFAULT]
	except sr.RequestError as e:
		logging.debug("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e))
		results_dict["bing"] = [DEFAULT]
		results_dict["bing_fil"] = [DEFAULT]
# Query IBM 

def wit(audio, vals, i, results_dict, timing):
	# recognize speech using Wit.ai
	WIT_AI_KEY = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXx"  # Wit.ai keys are 32-character uppercase alphanumeric strings
	try:
		s = time.time()
		#print("Wit.ai: ")
		vals[i] = text_to_num(r.recognize_wit(audio, key=WIT_AI_KEY), "wit", results_dict)
		timing["wit"].append(time.time() - s)
		#print("Wit " + str(vals[i]))
	except sr.UnknownValueError:
		logging.debug("Wit.ai could not understand audio")
		results_dict["wit"] = [DEFAULT]
		results_dict["wit_fil"] = [DEFAULT]
	except sr.RequestError as e:
		logging.debug("Could not request results from Wit.ai service; {0}".format(e))
		results_dict["wit"] = [DEFAULT]
		results_dict["wit_fil"] = [DEFAULT]
#Query Bing 

def apiai_callback(self, recognizer, audio):
        """
        called from the background thread
        :param recognizer:
        :param audio:
        :return:
        """
        try:
            captured_audio = recognizer.recognize_api(audio,
                                                      client_access_token=self.key,
                                                      language=self.language,
                                                      session_id=self.session_id,
                                                      show_all=self.show_all)
            Utils.print_success("Apiai Speech Recognition thinks you said %s" % captured_audio)
            self._analyse_audio(captured_audio)

        except sr.UnknownValueError as e:
            Utils.print_warning("Apiai Speech Recognition could not understand audio; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except sr.RequestError as e:
            Utils.print_danger("Could not request results from Apiai Speech Recognition service; {0}".format(e))
            # callback anyway, we need to listen again for a new order
            self._analyse_audio(audio_to_text=None)
        except AssertionError:
            Utils.print_warning("No audio caught from microphone")
            self._analyse_audio(audio_to_text=None) 

def Listen(self):
		with sr.Microphone() as source:
			self.audio = self.rec.listen(source)
		try:
			self.result = self.rec.recognize_google(self.audio)
			print self.result
			return self.result
		except sr.UnknownValueError:
        	        print("Google Speech Recognition could not understand audio")
        	except sr.RequestError:
                	self.Say("Could not request results from Google Speech Recognition service master, check our internet connection.") 

def voice_input():
    
    #!/usr/bin/env python3
    # Requires PyAudio and PySpeech.
    
	#sudo apt-get install portaudio19-dev

	#pip install --allow-unverified=pyaudio pyaudio 
	
	#requires internet too

    import speech_recognition as sr
     
    # Record Audio
    r = sr.Recognizer()
    m = sr.Microphone()

    with sr.Microphone() as source:
        print("Say something!")
        audio = r.listen(source)
     
    # Speech recognition using Google Speech Recognition
    try:
        # for testing purposes, we're just using the default API key
        # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
        # instead of `r.recognize_google(audio)`
        a=r.recognize_google(audio)
        #time.sleep(1)
        
        #stop_listening = r.listen_in_background(m, callback)
       
    except sr.UnknownValueError:
        print("Google Speech Recognition could not understand audio")
    except sr.RequestError as e:
        print("Could not request results from Google Speech Recognition service; {0}".format(e))

    print (a)
    return a 

def speech_to_text(self, file_path):
        print(file_path)
        wav_file_name = ogg_to_wav(file_path)
        with sr.AudioFile(wav_file_name) as source:
            audio = self.asr.record(source)
        try:
            text = self.asr.recognize_google(audio)
            os.remove(wav_file_name)
            return text
        except sr.UnknownValueError:
            print("Google Speech Recognition could not understand audio")
        except sr.RequestError as e:
            print("Could not request results from Google Speech Recognition service; {0}".format(e)) 

def audio_cb(self, msg):
        if self.is_canceling:
            rospy.loginfo("Speech is cancelled")
            return
        data = SR.AudioData(msg.data, self.sample_rate, self.sample_width)
        try:
            rospy.loginfo("Waiting for result %d" % len(data.get_raw_data()))
            result = self.recognizer.recognize_google(
                data, language=self.language)
            msg = SpeechRecognitionCandidates(transcript=[result])
            self.pub_speech.publish(msg)
        except SR.UnknownValueError as e:
            rospy.logerr("Failed to recognize: %s" % str(e))
        except SR.RequestError as e:
            rospy.logerr("Failed to recognize: %s" % str(e))