我们从Python开源项目中,提取了以下50个代码示例,用于说明如何使用speech_recognition.UnknownValueError()。
def SpeechToText(): r = sr.Recognizer() #Speech recognition with sr.Microphone() as source: print("Say something!") audio = r.listen(source) message = r.recognize_google(audio) print("Check: "+message) try: print("User: " + r.recognize_google(audio)) 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)) return message #function to find importance of words to use them to deduce that which thing is being asked more
def OnClicked(self): 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 OnClicked(self): 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) 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(recognizer_instance, audio_data): # 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)` text = str(recognizer_instance.recognize_google(audio_data)) print(text) if 'on' in text.lower(): print('Turning on!') if 'off' in text.lower(): print('Turning off!') 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 listen(self): """Listens to response from microphone and converts to text""" self.userCommand = "" with sr.Microphone(device_index=self.mic, chunk_size=1024, sample_rate=48000) as source: print ("\tThreshold: " + str(self.r.energy_threshold)) print ("\tWaiting for words...") try: audio = self.r.listen(source, timeout=5) # self.playSound("end.mp3") try: self.userCommand = self.r.recognize_google(audio) self.userCommand = self.userCommand.lower() if not self.processcommand(self.userCommand, source): return False else: return True except sr.UnknownValueError: print ("\t...") except sr.RequestError as e: print("\tCould not request results from Google Speech Recognition service; {0}".format(e)) except Exception as e: print (str(e)) except Exception: print ("\tNo audio heard") pass
def active_listen(self): with self.sr_mic() as microphone: try: audio = self.sr_recognizer.listen(microphone,timeout=TIME_OUT_CONSTANT, phrase_time_limit=PHRASE_TIME_LIMIT) except sr.WaitTimeoutError: return "" msg = "" try: msg = self.sr_recognizer.recognize_google(audio)#,language="fr-FR") #msg = self.sr_recognizer.recognize_sphinx(audio) print(msg.lower()) except sr.UnknownValueError: print("Google Speech Recognition could not understand audio") except sr.RequestError as e: self.speak("Could not request results from Google STT. Check your connection! {0}".format(e)) except: self.speak("Something it is Wrong! It hurts! Wrong! Wrong! Wrong!") finally: return msg.lower()
def active_listen(self): with self.sr_mic() as microphone: try: audio = self.sr_recognizer.listen(microphone,timeout=TIME_OUT_CONSTANT, phrase_time_limit=PHRASE_TIME_LIMIT) except sr.WaitTimeoutError: pass msg = "" try: msg = self.sr_recognizer.recognize_google(audio)#,language="fr-FR") #msg = self.sr_recognizer.recognize_sphinx(audio) print(msg.lower()) except sr.UnknownValueError: pass#print("Google Speech Recognition could not understand audio") except sr.RequestError as e: self.speak("Could not request results from Google STT. Check your connection! {0}".format(e)) except: pass#self.speak("Something it is Wrong! It hurts! Wrong! Wrong! Wrong!") finally: return msg.lower()
def process_audio(self, audio): """ Converts given audio to speech. :param audio: Audio snippet to be converted to text. """ 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)` return self.recognizer.recognize_google(audio) except UnknownValueError: print("Google Speech Recognition could not understand audio") except RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e))
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) # stop listening for an audio self.stop_listening()
def houndify_callback(self, recognizer, audio): """ called from the background thread """ try: captured_audio = recognizer.recognize_houndify(audio, client_id=self.client_id, client_key=self.key, show_all=self.show_all) Utils.print_success("Houndify Speech Recognition thinks you said %s" % captured_audio) self._analyse_audio(captured_audio) except sr.UnknownValueError: Utils.print_warning("Houndify 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 Houndify Speech Recognition service; {0}".format(e)) # callback anyway, we need to listen again for a new order self._analyse_audio(audio_to_text=None) # stop listening for an audio self.stop_listening()
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) self.stop_listening()
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) # stop listening for an audio self.stop_listening()
def listen(self): """ :param self This is a wrapper method to the Speech_Recognition package found @ https://gist.github.com/GGulati/1ebaeaaa7f7408647fef#file-jarvis-py """ try: with speech_recognition.Microphone() as source: self.recognizer.adjust_for_ambient_noise(source) audio = self.recognizer.listen(source, timeout=10, phrase_time_limit=None) return self.recognizer.recognize_google(audio) except speech_recognition.WaitTimeoutError: self.error_message = "I could not hear you!" except speech_recognition.UnknownValueError: self.error_message = "I did not quite get that" except speech_recognition.RequestError as e: self.error_message = "Recognition Error: {0}".format(e)
def callback(recognizer, audio): try: recognized = recognizer.recognize_google(audio) if recognized: logging.info("clipped"+recognized+"\n") copy_to_clipboard(recognized) logging.info("copied text to clipboard.") beep() process_recognized_string(recognized) return recognized except sr.UnknownValueError: print("..") except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e))
def recognize(): r = sr.Recognizer() m = sr.Microphone() try: with m as source: r.adjust_for_ambient_noise(source) print("Escuchando...") play('beep.wav') with m as source: audio = r.listen(source) print("Enterado! Reconociendo...") try: value = r.recognize_google(audio, language="es-MX") if str is bytes: print(u"Dijiste {}".format(value).encode("utf-8")) else: print("Dijiste {}".format(value)) except sr.UnknownValueError: print("Ups! No entendimos") except sr.RequestError as e: print("Oh oh! Error en la peticion a Google; {0}".format(e)) except KeyboardInterrupt: pass
def get_query(): 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)` tts_result = r.recognize_google(audio) print('Got ' + tts_result) except sr.UnknownValueError: print("Google Speech Recognition could not understand audio") return None except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) return None return tts_result
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 main(): r = sr.Recognizer() with sr.Microphone() as source: print("Say something!") audio = r.listen(source) try: speech_text = r.recognize_google(audio).lower().replace("'", "") print("Mustani thinks you said '" + speech_text + "'") except sr.UnknownValueError: print("Mustani could not understand audio") except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) brain(name,speech_text,city_name, city_code)
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 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 recognize_speech(): # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: print("Say something!") audio = r.listen(source) try: print("Starting speech recognition") cred_json = json.loads(open(config.get('google_cloud_api_service_account_json')).read()) recognized_speech = r.recognize_google_cloud(audio, credentials_json=cred_json) # we need some special handling here to correctly print unicode characters to standard output if str is bytes: # this version of Python uses bytes for strings (Python 2) print(u"You said {}".format(recognized_speech).encode("utf-8")) else: # this version of Python uses unicode for strings (Python 3+) print("You said {}".format(recognized_speech)) 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 process_listen(self): if not os.path.isfile("data/temp/heard.pcm") or os.stat("data/temp/heard.pcm").st_size == 0: await self.bot.send_embed(self.text_channel, ":warning: No input found") return func = functools.partial(subprocess.call, ["ffmpeg", "-f", "s16le", "-y", "-ar", "44.1k", "-ac", "2", "-i", "data/temp/heard.pcm", "data/temp/heard.wav"], shell = True) await self.bot.loop.run_in_executor(None, func) with speech_recognition.AudioFile("data/temp/heard.wav") as source: audio = self.recognizer.record(source) ''' try: await self.bot.reply("Sphinx thinks you said: " + recognizer.recognize_sphinx(audio)) except speech_recognition.UnknownValueError: await self.bot.reply("Sphinx could not understand audio") except speech_recognition.RequestError as e: await self.bot.reply("Sphinx error; {0}".format(e)) ''' try: text = self.recognizer.recognize_google(audio) await self.bot.send_embed(self.text_channel, "I think you said: `{}`".format(text)) except speech_recognition.UnknownValueError: # await self.bot.send_embed(self.text_channel, ":no_entry: Google Speech Recognition could not understand audio") await self.bot.send_embed(self.text_channel, ":no_entry: I couldn't understand that") except speech_recognition.RequestError as e: await self.bot.send_embed(self.text_channel, ":warning: Could not request results from Google Speech Recognition service; {}".format(e)) else: response = clients.aiml_kernel.respond(text) # TODO: Handle brain not loaded? if not response: games_cog = client.get_cog("Games") if not games_cog: return response = await games_cog.cleverbot_get_reply(text) await self.bot.send_embed(self.text_channel, "Responding with: `{}`".format(response)) await self.play_tts(response, self.bot.user) # open("data/heard.pcm", 'w').close() # necessary? # os.remove ?
def on_enter(self, payload=None): """ Executed on the entry to the Recognizing State. Upon entry, audio is captured from the Microphone and recognition with preferred speech recognition engine is done. If successful, the machine transitions to Busy State. On failure, it transitions to Error state. :param payload: No payload is expected by this state :return: None """ self.notify_renderer('listening') recognizer = self.components.recognizer try: print("Say something!") with self.components.microphone as source: audio = recognizer.listen(source, phrase_time_limit=5) self.notify_renderer('recognizing') print("Got it! Now to recognize it...") try: value = self.__recognize_audio( audio=audio, recognizer=recognizer) print(value) self.notify_renderer('recognized', value) self.transition(self.allowedStateTransitions.get( 'busy'), payload=value) except sr.UnknownValueError: print("Oops! Didn't catch that") self.transition(self.allowedStateTransitions.get( 'error'), payload='RecognitionError') except sr.RequestError as e: print( "Uh oh! Couldn't request results from Speech Recognition service; {0}".format(e)) self.transition(self.allowedStateTransitions.get( 'error'), payload='ConnectionError') except KeyboardInterrupt: pass
def listen(): with speech_recognition.Microphone() as source: recognizer.adjust_for_ambient_noise(source) audio = recognizer.listen(source) try: return recognizer.recognize_sphinx(audio) # or: return recognizer.recognize_google(audio) except speech_recognition.UnknownValueError: print("Could not understand audio") except speech_recognition.RequestError as e: print("Recog Error; {0}".format(e)) return ""
def cut_and_send(infile, outfile, length): # print(infile) # print(outfile) # print(length) # return myaudio = AudioSegment.from_file(infile, "wav") chunk_length_ms = length # pydub calculates in millisec chunks = make_chunks(myaudio, chunk_length_ms) # Make chunks of one sec for i, chunk in enumerate(chunks): chunk_name = "chunk{0}.wav".format(i) print("exporting", chunk_name) chunk.export(chunk_name, format="wav") r = sr.Recognizer() with sr.AudioFile(chunk_name) as source: audio = r.record(source) # recognize speech using Google Speech Recognition try: # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")` # instead of `r.recognize_google(audio)` txt = r.recognize_google(audio) + " " with open(outfile, 'a') as f: f.write(txt) except sr.UnknownValueError: print("Ehm... sorry not understood this one.") except sr.RequestError as e: print("Request failed; {0}".format(e)) os.remove(chunk_name)
def callback(recognizer, audio): try: sentence = recognizer.recognize_google(audio, language=language) wave_file_name = "train.wav" wav_file = open(wave_file_name,"wb") wav_file.write(audio.get_wav_data()) wav_file.close() wave, sample_rate = librosa.load(wave_file_name, mono=True, sr=None) wave = wave[::3] save_recording(wave_file_name,wave,sentence,CSV_BIG_ONE) 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 callback(recognizer, audio): # received audio data, now we'll recognize it 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(r.recognize_sphinx(audio,language="fr-FR"))# print recognizer.recognize_google(audio)#, language="fr-FR")) 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 stot(): r = sr.Recognizer() with sr.Microphone() as source: try: print("Say it!!") audio = r.listen(source) print(r.recognize_google(audio)) except sr.UnknownValueError: print("Could not understand audio") except sr.RequestError as e: print("Could not request results; {0}".format(e))
def hear(source, r, robot): audio = r.listen(source) try: recognized = r.recognize_google(audio) print("You said: " + recognized) if command_activate in recognized or command_activate.lower() in recognized: print("Action command recognized") if command_pickup in recognized: do_blocks(robot) elif command_dance in recognized: do_dance() elif command_lookatme in recognized: do_lookforface(robot) elif command_followme in recognized: do_lookforface(robot) do_followface(robot) elif command_takepictureofme in recognized: do_lookforface(robot) do_takepicture(robot) elif command_takepicture in recognized: do_takepicture(robot) elif command_say in recognized: do_say(recognized, robot) else: print("Command not recognized") else: print("You did not say the magic word " + command_activate) 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 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) # stop listening for an audio self.stop_listening()
def callback(recognizer, audio): # received audio data, now we'll recognize it 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("Google Speech Recognition thinks you said " + recognizer.recognize_google(audio)) 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 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 initiate_Persia(self): """ Initializes Persia and starts the listening loop """ # starts the recognizer r = sr.Recognizer() with sr.Microphone() as source: while True: logger.debug("Awaiting user input.") audio = r.listen(source) logger.debug("Interpreting user input.") # Speech recognition using Google Speech Recognition try: result = r.recognize_google(audio) #result = r.recognize_sphinx(audio) self.handle_action(result) except sr.UnknownValueError: logger.debug("Could not understand audio") #Persia.speak("I'm sorry, but I couldn't understand what you said.") except sr.RequestError as e: logger.warn("Could not request results from Google Speech Recognition service: %s", e) except Exception as e: logger.error("Could not process text: %s", e)
def transcribe(inputfile,outputfile='',to_txt=True): wav_source=True if inputfile.lower()[-4:]!='.wav': # Creates a temporary WAV wav_source=False # if input is MP3 temp_filename=inputfile.split('/')[-1]+'_temp.wav' wav_path='/var/tmp/'+temp_filename # Pathname for temp WAV subprocess.call(['ffmpeg', '-y', '-i', inputfile, wav_path]) # '-y' option overwrites existing file if present else: wav_path=inputfile transcript='' r = sr.Recognizer() with sr.AudioFile(wav_path) as source: audio = r.record(source) # read the entire audio file try: # recognize speech using Sphinx print('Processing ...') transcript=r.recognize_sphinx(audio) except sr.UnknownValueError: print("Sphinx error: No speech detected.") except sr.RequestError as e: print("Sphinx error; {0}".format(e)) if wav_source==False: os.remove(wav_path) # deleting temp WAV if to_txt==True: if outputfile=='': outputfile=inputfile[:-4]+'.pocketsphinx.txt' with open(outputfile, 'w') as fo: fo.write(transcript) return transcript else: return transcript
def _recognize_bing(wav_path, api_key, language='zh-CN'): r = sr.Recognizer() with sr.AudioFile(wav_path) as source: audio = r.record(source) try: text = r.recognize_bing(audio, key=api_key, language=language) return text except (sr.UnknownValueError, sr.RequestError): return None
def listen(recognizer, message='Say Something'): with speech_recognition.Microphone() as source: print(message) audio = recognizer.listen(source) try: return recognizer.recognize_google(audio).lower() except speech_recognition.UnknownValueError: try: return recognizer.recognize_sphinx(audio).lower() except speech_recognition.UnknownValueError: print("Pandora could not understand audio") except speech_recognition.RequestError as e: print("Sphinx error; {0}".format(e)) except speech_recognition.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e))
def sound_to_text(): NEWS = [] for i in range(int(length / 8)): WAV_FILE = path.join(path.dirname(path.realpath(__file__)), 'nlp_' + str(i) + '.wav') # use "english.wav" as the audio source r = sr.Recognizer() with sr.WavFile(WAV_FILE) as source: audio = r.record(source) # read the entire WAV file # 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(i, ". part: ", r.recognize_google(audio,language="tr")) NEWS.append(r.recognize_google(audio,language="tr")) except sr.UnknownValueError: # print("Google Speech Recognition could not understand audio") pass except sr.RequestError as e: # print("Could not request results from Google Speech Recognition service; {0}".format(e)) pass return NEWS
def recognize(self): if self.engine == 'google': try: from pprint import pprint print("Google Speech Recognition") return self.r.recognize_google(self.audio, show_all=False) 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)) if self.engine == 'witai': WIT_AI_KEY = "7LUFYD6ZZKLYSI652C75J4UZWTIMJIPX" try: print("Wit.ai") return self.r.recognize_wit(self.audio, key=WIT_AI_KEY) except sr.UnknownValueError: print("Wit.ai could not understand audio") except sr.RequestError as e: print("Could not request results from Wit.ai service; {0}".format(e)) if self.engine == 'sphinx': try: print("Sphinx") return self.r.recognize_sphinx(self.audio) except sr.UnknownValueError: print("Sphinx could not understand audio") except sr.RequestError as e: print("Sphinx error; {0}".format(e)) return None
def callback(r,audio): try: s=r.recognize_google(audio) print(s) brain(s) except sr.UnknownValueError: print("~~~~~~~~~~~~~~~~~~~") except sr.RequestError as e: print('Internet Error......!')
def detected_callback(self): self.detector.terminate() play_wav(onyx.__path__[0] + "/client/speech/resources/ding.wav") r = sr.Recognizer() with sr.Microphone() as source: print("Say something!") audio = r.listen(source, timeout=1, phrase_time_limit=5) try: result = stt.execute(audio, language=self.lang) print("You said: " + result) def create_ws(): def onConnected(event=None): print ("Sending message...") payload = { 'utterances': [result] } ws.emit(Message('recognizer_loop:utterance', payload)) t.close() #self.detector.start(self.detected_callback) ws = WebsocketClient() ws.on('connected', onConnected) # This will block until the client gets closed ws.run_forever() t = threading.Thread(target=create_ws) t.start() time.sleep(2) self.detector.start(self.detected_callback) except sr.UnknownValueError: print("Speech Recognition could not understand audio") except sr.RequestError as e: print("Could not request results from Speech Recognition service; {0}".format(e))
def get_command(): 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)` tts_result = r.recognize_google(audio) print('Got ' + tts_result) except sr.UnknownValueError: print("Google Speech Recognition could not understand audio") return None except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) return None #Read keys from json with open('keys.json','r') as keys_file: keys = json.load(keys_file) apiai_client_token = keys['apiai_client_token'] #Create a session session = requests.Session() session.headers.update({"Authorization":"Bearer {}".format(apiai_client_token), "Content-Type":"application/json; charset=utf-8"}) #API.ai API_BASE_URL="https://api.api.ai/v1/" #Make a request return session.get(API_BASE_URL+"query", params={"query": tts_result,"v":"20170204","sessionId":"furby","lang":"en"}).json()["result"]
def ears(): # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: audio = r.listen(source) # recognize speech using Google Speech Recognition try: return r.recognize_google(audio) except sr.UnknownValueError: return ears() except sr.RequestError as e: return "I do not understand; {0}".format(e)
def listen(): speak('Listening!') with speech_recognition.Microphone() as source: recognizer.adjust_for_ambient_noise(source) audio = recognizer.listen(source) try: return recognizer.recognize_google(audio) except speech_recognition.UnknownValueError: notify(message="Could not understand audio") except speech_recognition.RequestError as e: notify(message="Connection Problem") return ""
def listen_translate(): while(True): # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone(sample_rate=8000) as source: print("Say something!") # print(5), # time.sleep(1) # print(4), # time.sleep(1) # print(3), # time.sleep(1) # print(2), # time.sleep(1) # print(1), # time.sleep(1) audio = r.listen(source)#,timeout=5,phrase_time_limit=0.05 # r = sr.Recognizer() # with sr.AudioFile('./english.wav') as source: # audio = r.record(source) # read the entire audio file # write audio to a WAV file ``
with open("microphone-results.wav", "wb") as f: f.write(audio.get_wav_data()) # recognize speech using Sphinx try: print("Sphinx thinks you said :" + r.recognize_sphinx(audio)) except sr.UnknownValueError: print("Sphinx could not understand audio") except sr.RequestError as e: print("Sphinx error; {0}".format(e))
```
def translate(r,audio): try: s=time.time() print(str(len(audiolist))+" Sphinx thinks you said :" + r.recognize_sphinx(audio)) print time.time()-s except sr.UnknownValueError: print("Sphinx could not understand audio") except sr.RequestError as e: print("Sphinx error; {0}".format(e))
def play_audio(): r = sr.Recognizer() with sr.AudioFile('./english.wav') as source: audio = r.record(source) # read the entire audio file print audio # recognize speech using Sphinx try: print("Sphinx thinks you said :" + r.recognize_sphinx(audio)) except sr.UnknownValueError: print("Sphinx could not understand audio") except sr.RequestError as e: print("Sphinx error; {0}".format(e))
def processcommand(self, usermsg, source): """ Processes command from user and deals with wake word detection Returns True if Response was when assistant is awoken :param usermsg: The message that the user inputted :param source: Microphone audio source """ print ("< " + usermsg) wake_words = ["hey", "ok", "okay", "yo", "you", "hi"] awake = False for word in wake_words: if self.userCommand == word + " " + self.name: awake = True if awake: self.playsound("start.mp3") self.speak("Yes?") print ("\tWaiting for command..") response_heard = False while not response_heard: print ("\tThreshold: " + str(self.r.energy_threshold)) print ("\tWaiting for command...") try: audio = self.r.listen(source, timeout=5) print("...") self.playsound("end.mp3") try: self.userCommand = self.r.recognize_google(audio) self.userCommand = self.userCommand.lower() response_heard = True print ("< " + self.userCommand) except sr.UnknownValueError: print("\tUnknown Value from Google, or nothing heard") except sr.RequestError as e: print("\tCould not request results from Google Speech Recognition service; {0}".format(e)) except Exception as e: print (str(e)) except Exception: print ("\tHeard nothing") pass return True else: for word in wake_words: if self.userCommand.__contains__(word + " " + self.name): print ("\tGetting command..") self.userCommand = self.userCommand.split(word + " " + self.name + " ")[1] return True return False
def callback(self,data): i=0 rg=spr.Recognizer() try: frame = self.bridge.imgmsg_to_cv2(data, "bgr8") frame = libs.resize(frame, width=600) gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) (rects, i, facess) = et.track(gray, i) for rect in rects: cv2.rectangle(frame, (rect[0], rect[1]), (rect[2], rect[3]), (0, 255, 0), 2) if facess != []: for face in facess: pred, conf = recognizer.predict(face) if conf < 120: print "Reconozco a Lucas con una confianza de {}".format(conf) self.num=self.num+1 if self.num==10: self.engine.say('Hi ') self.engine.say( list(dictid.keys())[list(dictid.values()).index(pred)]) self.engine.runAndWait() with spr.Microphone() as source: rg.adjust_for_ambient_noise(source) print 'Escuchando' audio=rg.listen(source) try: respuesta= rg.recognize_sphinx(audio) print respuesta if respuesta!='no': self.engine.say('OKEY ') self.engine.say('Getting') self.engine.say('new') self.engine.say('data') self.engine.runAndWait() except spr.UnknownValueError: print 'error' else: print "Desconocido" cv2.imshow("Tracking", frame) cv2.waitKey(1) except CvBridgeError as e: print(e)
def get_command(): 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)` tts_result = r.recognize_google(audio) except sr.UnknownValueError: print("Google Speech Recognition could not understand audio") exit() except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) exit() #Read keys from json with open('keys.json','r') as keys_file: keys = json.load(keys_file) apiai_client_token = keys['apiai_client_token'] #Create a session session = requests.Session() session.headers.update({"Authorization":"Bearer {}".format(apiai_client_token), "Content-Type":"application/json; charset=utf-8"}) #API.ai API_BASE_URL="https://api.api.ai/v1/" #Make a request return session.get(API_BASE_URL+"query", params={"query": tts_result,"v":"20170204","sessionId":"furby","lang":"en"}).json()["result"] #bee_movie, #get_date, #get_forecast, #get_fortune, #prompt_name (for get lucky number), #get_stallman, #torture, #get_time, #prompt_question (for wolfram query) # # joke # dad joke # love # music