def listen(self) -> str:
# Record Audio
data = ''
recognizer = Recognizer()
with Microphone() as source:
self.log.debug('Listening on microphone...')
try:
audio = recognizer.listen(source, timeout=10)
except WaitTimeoutError:
self.log.debug('Listen timed out.')
return data
# Speech recognition using Google Speech Recognition
try:
# Uses the default API key
# To use another API key: `r.recognize_google(audio, key='GOOGLE_SPEECH_RECOGNITION_API_KEY')`
data = recognizer.recognize_google(audio)
self.log.debug(f'You said: "{data}"')
except UnknownValueError:
self.log.debug(
'Google Speech Recognition could not understand audio')
except RequestError as e:
self.log.error(
f'Could not request results from Google Speech Recognition service: {e}'
)
return str(data)
def task(quit_event):
#mic = Microphone(quit_event=quit_event)
mic_index = None
for i, microphone_name in enumerate(Microphone.list_microphone_names()):
if 'seeed' in microphone_name:
mic_index = i
print("Using microphone {}".format(microphone_name))
break
if not mic_index:
print("Could not find a proper microphone")
exit()
with Microphone(device_index=mic_index) as mic:
recognizer = Recognizer()
while not quit_event.is_set():
pixel_ring.off()
print("Listening for keyword")
data = recognizer.listen(source=mic)
kw_text = recognizer.recognize_sphinx(data)
print("Heard '{}' while listening for keyword".format(kw_text))
if kw_text == name:
print('Wake up')
pixel_ring.listen()
data = recognizer.listen(mic)
pixel_ring.think()
text = recognizer.recognize_sphinx(data)
print('Done listening')
pixel_ring.off()
if text:
print('Recognized {}'.format(text))
tts.say(text)
def Audio_file_Read(filename):
universal_dict = {}
cnt = {}
gantu = [0, 0, 0, 0]
analysis = {}
token = Tokenizer()
recog = Recognizer()
try:
audioFile = sr.AudioFile(filename)
with audioFile as source:
audio = recog.record(source)
recognized = recog.recognize_google(audio, language="ko-KR")
res = text_to_word_sequence(recognized)
cnt = collections.Counter(res)
universal_dict = dict(cnt)
if "어" in universal_dict:
gantu[0] = universal_dict["어"]
if "아니" in universal_dict:
gantu[1] = universal_dict["아니"]
if "근데" in universal_dict:
gantu[2] = universal_dict["근데"]
if "이제" in universal_dict:
gantu[3] = universal_dict["이제"]
text = recognized
analysis['text'] = text
analysis['data'] = gantu
return analysis
except UnknownValueError:
analysis['text'] = "당신이 말한 문장이 없습니다."
analysis['data'] = [0, 0, 0, 0]
return analysis
def record(filename, duration):
mic = MutableMicrophone()
recognizer = Recognizer()
with mic as source:
audio = recognizer.record(source, duration=duration)
with open(filename, 'wb') as f:
f.write(audio.get_wav_data())
def listen(self):
"""
listen audio from microphone and convert to the string.
:return:data
"""
self.recognizer = Recognizer()
with Microphone() as source:
self.recognizer.adjust_for_ambient_noise(source)
print("I am listening you...")
audio = self.recognizer.listen(source, phrase_time_limit=6)
data = ""
try:
# Uses the default API key
# To use another API key:
# `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
data = self.recognizer.recognize_google(audio, language="tr")
print("You said : " + data)
except UnknownValueError:
print("Google Speech Recognition could not understand audio")
return self.listen()
except RequestError as exception:
print("Could not request results from "
"Google Speech Recognition service; {0}".format(exception))
return self.listen()
return data.lower()
def __init__(self, callback, language="pl-PL", api_option=ApiOption.GOOGLE):
super().__init__()
self.callback_command_detected = callback
self.api_option = api_option
self.language = language
self.listen_thread = None
self.phrase_time_limit = 3
try:
self.recognizer = Recognizer()
self.microphone = Microphone()
"""
adjust the recognizer sensitivity to ambient noise and record audio
from the microphone
"""
with self.microphone as source:
self.recognizer.adjust_for_ambient_noise(source)
except OSError as ose_err:
Logger.critical("OSError: {0}".format(ose_err))
self.api_runs = False
self.api_info = GLO_MSG['MICROPHONE_FAILURE']
return
except Exception as err:
Logger.critical("Exception: {0}".format(err))
self.api_runs = False
self.api_info = GLO_MSG['MICROPHONE_FAILURE']
return
Logger.debug("Initialization of CommandsRecognition class")
self.api_info = GLO_MSG['MICROPHONE_INITIALIZED']
def __init__(self):
config_core = STT_CONFIG
self.lang = str(self.init_language(config_core))
config_stt = config_core.get("stt", {})
self.config = config_stt.get(config_stt.get("module"), {})
self.credential = self.config.get("credential", {})
self.recognizer = Recognizer()
def __init__(self):
recognizer = Recognizer()
recognizer.dynamic_energy_threshold = False
recognizer.energy_threshold = 1000
self.recognizer = recognizer
self.microphone = Microphone()
self.susi = susi
try:
res = requests.get('http://ip-api.com/json').json()
self.susi.update_location(longitude=res['lon'],
latitude=res['lat'])
except ConnectionError as e:
logging.error(e)
self.config = json_config.connect('config.json')
if self.config['hotword_engine'] == 'Snowboy':
from main.hotword_engine import SnowboyDetector
self.hotword_detector = SnowboyDetector()
else:
from main.hotword_engine import PocketSphinxDetector
self.hotword_detector = PocketSphinxDetector()
if self.config['wake_button'] == 'enabled':
if self.config['device'] == 'RaspberryPi':
from ..hardware_components import RaspberryPiWakeButton
self.wake_button = RaspberryPiWakeButton()
else:
self.wake_button = None
else:
self.wake_button = None
def __init__(self):
config_core = ConfigurationManager.get()
self.lang = str(self.init_language(config_core))
config_stt = config_core.get("stt", {})
self.config = config_stt.get(config_stt.get("module"), {})
self.credential = self.config.get("credential", {})
self.recognizer = Recognizer()
def main():
# start to listen background with another thread.
start_listen_background()
while not os.path.exists(BG_WAV_PATH):
print('ready for bg wav ...')
time.sleep(1)
# initialize recognizer
recognizer = Recognizer()
recognizer.speaking_duration = 0.1
recognizer.phrase_threshold = 0.1
with Microphone(sample_rate=SAMPLE_RATE) as source:
# listen for 1 second to calibrate the energy threshold for ambient noise levels
recognizer.adjust_for_ambient_noise(source)
print("Calibrated. Say something!")
source = Microphone(sample_rate=SAMPLE_RATE)
with Pool(THREAD_NUM) as pool:
callback_with_model = partial(callback,
model_map=ModelMap(),
pool=pool)
recognizer.listen_in_background(source, callback_with_model,
PHRASE_TIME_LIMIT)
while True:
time.sleep(10)
def __init__(self,
pin: int = 17,
language: str = "en",
api: str = "",
mic=None) -> None:
"""
Initialize LED lights, button, language, microphone, and recognizer.
pin: tell Pi what pin to use for LED and set it's default value
to 0 (off)
language: set language to the language you are translating from
microphone: initialize microphone so it can be used in this program
recognizer: take input from microphone and decipher it into text
Microphone.list_microphone_names() to list all microphones
Pass the needed device as device_index=n if program can't pick
up device automatically
"""
self.microphone = Microphone(
device_index=mic) if mic else Listener.get_mic()
self.recognizer = Recognizer()
self.led = PWMLED(pin)
self.src = language
self.target = "es"
self.api = api
def GetTextInAudio(audio_msg, chat_id, bot):
from speech_recognition import AudioFile, Recognizer, UnknownValueError
rec = Recognizer()
file_id = audio_msg['file_id']
tempAudio = dirLoc + file_id + '.' + audio_msg['mime_type'].split('/')[1]
bot.download_file(file_id, tempAudio)
from pydub import AudioSegment
filename = file_id + '.wav'
file_loc = dirLoc + filename
sound = AudioSegment.from_file(tempAudio)
sound.export(file_loc, format='wav')
with AudioFile(file_loc) as AudioSrc:
content = rec.record(AudioSrc)
try:
text = rec.recognize_google(
audio_data=content,
language='ja-JP',
)
except UnknownValueError:
bot.sendMessage(chat_id, 'None')
return
mainText = t_j2k(text)
bot.sendMessage(chat_id, mainText)
remove(tempAudio)
remove(file_loc)
def __init__(self):
config_core = CONFIGURATION
self.lang = str(self.init_language(config_core))
config_stt = config_core.get("stt", {})
self.config = config_stt.get(config_stt.get("module"), {})
self.credential = self.config.get("credential", {})
self.recognizer = Recognizer()
self.can_stream = False
def __init__(self):
Thread.__init__(self, daemon=True);
self.rec = Recognizer();
self.rec.energy_threshold=110;
self.rec.pause_threshold=0.5;
self.rec.operation_timeout=5;
self.mic = Microphone(device_index = 2);
self.answer = AnswerBot('de.txt');
def escuchar():
print("Escuchando...")
recognizer = Recognizer()
microfono = Microphone()
with microfono:
recognizer.adjust_for_ambient_noise(microfono)
recognizer.listen_in_background(microfono, callback)
def __init__(self, renderer=None):
try:
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.OUT)
GPIO.setup(27, GPIO.OUT)
GPIO.setup(22, GPIO.OUT)
except ImportError:
print("Only available for devices with GPIO ports ")
except RuntimeError:
pass
recognizer = Recognizer()
recognizer.dynamic_energy_threshold = False
recognizer.energy_threshold = 1000
self.recognizer = recognizer
self.microphone = Microphone()
self.susi = susi
self.renderer = renderer
try:
res = requests.get('http://ip-api.com/json').json()
self.susi.update_location(
longitude=res['lon'], latitude=res['lat'], country_name=res['country'], country_code=res['countryCode'])
except ConnectionError as e:
logging.error(e)
self.config = json_config.connect('config.json')
if self.config['usage_mode'] == 'authenticated':
try:
susi.sign_in(email=self.config['login_credentials']['email'],
password=self.config['login_credentials']['password'])
except Exception:
print('Some error occurred in login. Check you login details in config.json')
if self.config['hotword_engine'] == 'Snowboy':
from main.hotword_engine.snowboy_detector import SnowboyDetector
self.hotword_detector = SnowboyDetector()
else:
from main.hotword_engine.sphinx_detector import PocketSphinxDetector
self.hotword_detector = PocketSphinxDetector()
if self.config['WakeButton'] == 'enabled':
print("\nSusi has the wake button enabled")
if self.config['Device'] == 'RaspberryPi':
print("\nSusi runs on a RaspberryPi")
from ..hardware_components import RaspberryPiWakeButton
self.wake_button = RaspberryPiWakeButton()
else:
print("\nSusi is not running on a RaspberryPi")
self.wake_button = None
else:
print("\nSusi has the wake button disabled")
self.wake_button = None
def dothis(message):
"""
From speech to text
:param message:
:return: text
"""
session = message.get_session()
ans = ''
current_cmd = message.get_setting(session, 'active')
if message.attachments['sound']:
try:
r = Recognizer()
mode = 'google'
lang = 'ru-RUS'
ans = ''
for attachment in message.attachments['sound']:
ext = attachment[1]
path = os.path.abspath(os.curdir)
fname = time.strftime("%Y%m%d-%H%M%S") + '.'
dir = path + '/temp/' + fname
urllib.request.urlretrieve(
attachment[0], dir + ext) # getting file
if ext != 'wav':
subprocess.run(['ffmpeg', '-i', dir + ext, dir + 'wav'])
os.remove(dir + ext)
with AudioFile(dir + 'wav') as source:
song = r.record(source)
os.remove(dir + 'wav')
if "en" in message.params:
lang = 'en-EN'
if 'wit' in message.params:
mode = 'wit'
recg = r.recognize_google(
song,
language=lang
) if mode == 'google' else r.recognize_wit(song, witkey)
ans += f">>>>>>{recg}\n\n"
yield ans
except Exception as f:
ans += "Произошла непредвиденная ошибка: " + str(f) + "\n"
finally:
if current_cmd:
message.delete_active(session)
yield str(ans)
elif 'Выход' in message.params and current_cmd:
message.delete_active(session)
yield {'msg': 'Успешно!', 'keyboard': [[], False]}
else:
if current_cmd is None:
message.add_setting(session, 'active', 'stt')
yield {'msg': 'Прикрепите аудио или напишите Выход',
'keyboard': [[[('Выход', 'negative')]], False]
}
def __init__(self):
rospy.init_node("speech")
self.pub = rospy.Publisher("speech_recognizer",
String,
latch=True,
queue_size=1)
self.recognizer = Recognizer()
# self.recognizer.energy_threshold = 1000
# self.recognizer.pause_threshold = .7
self.microphone = Microphone()
def listen(self):
try:
with Microphone() as source:
recognizer = Recognizer()
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
return recognizer.recognize_google(audio,
language=self.lang).lower()
except (UnknownValueError, RequestError):
return ''
def gettingWordsFromMic():
mic = Microphone()
recognizer = Recognizer()
print("Say something...")
print(Microphone.list_microphone_names())
with mic as source:
recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source)
input("Press a key to process")
print(recognizer.recognize_google(audio))
def __init__(self, width, height):
super().__init__(width, height)
arcade.set_background_color(arcade.color.AMAZON)
self.microphone = Microphone()
self.recognizer = Recognizer()
# with self.microphone as source:
# self.recognizer.adjust_for_ambient_noise(source, duration=2.0)
self.recognizer.energy_threshold = 5000
self.stop_listening = None
def sphinx(config, data, sample_rate):
"""Perform speech recognition using sphinx."""
audio_data = AudioData(data, sample_rate, 2)
try:
text = Recognizer().recognize_sphinx(audio_data,
language="en-US",
keyword_entries=None,
show_all=False)
except UnknownValueError:
text = ""
_LOGGER.warning("No speech found in audio.")
return text
def listen():
print("Say something!")
r = Recognizer()
m = Microphone()
with m as src:
# Deal with ambient noise since microphone output is rather unpredictable
r.adjust_for_ambient_noise(src)
# Start listening
r.listen_in_background(m, callback)
# Keep listening even though main thread is blocked
while True:
sleep(1)
def speech_recog(file_name="input_sample/audio/introduction_ml.mp3",
duration=10):
convert_mp3_to_wav("input_sample/audio/introduction_ml.mp3")
result = 0
class_audio = AudioFile("input_sample/audio/introduction_ml.wav")
print(type(class_audio))
recongizer = Recognizer()
with class_audio as src_audio:
audio = recongizer.record(src_audio, duration=duration)
print(recongizer.recognize_google(audio))
def google_cloud(config, data, sample_rate):
"""Perform speech recognition using Google Cloud."""
audio_data = AudioData(data, sample_rate, 2)
try:
text = Recognizer().recognize_google_cloud(audio_data,
credentials_json=None,
language="en-GB",
preferred_phrases=None,
show_all=False)
except UnknownValueError:
text = ""
_LOGGER.warning("No speech found in audio.")
return text
def start(data):
if data.endswith('.wav'):
data = converter(data)
else:
print("Need Conversion")
r = Recognizer()
with AudioFile(data) as source:
audio = r.listen(source)
print("Status: Working\r", end="")
query = r.recognize_google(audio)
file = open("{}.txt".format(data.split('.')[0]), 'w')
file.write(query)
file.close()
print(query)
def __init__(self, renderer=None):
GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.OUT)
GPIO.setup(27, GPIO.OUT)
GPIO.setup(22, GPIO.OUT)
recognizer = Recognizer()
recognizer.dynamic_energy_threshold = False
recognizer.energy_threshold = 1000
self.recognizer = recognizer
self.microphone = Microphone()
self.susi = susi
self.renderer = renderer
try:
res = requests.get('http://ip-api.com/json').json()
self.susi.update_location(longitude=res['lon'],
latitude=res['lat'])
except ConnectionError as e:
logging.error(e)
self.config = json_config.connect('config.json')
if self.config['usage_mode'] == 'authenticated':
try:
susi.sign_in(
email=self.config['login_credentials']['email'],
password=self.config['login_credentials']['password'])
except Exception:
print(
'Some error occurred in login. Check you login details in config.json'
)
if self.config['hotword_engine'] == 'Snowboy':
from main.hotword_engine import SnowboyDetector
self.hotword_detector = SnowboyDetector()
else:
from main.hotword_engine import PocketSphinxDetector
self.hotword_detector = PocketSphinxDetector()
if self.config['wake_button'] == 'enabled':
if self.config['device'] == 'RaspberryPi':
from ..hardware_components import RaspberryPiWakeButton
self.wake_button = RaspberryPiWakeButton()
else:
self.wake_button = None
else:
self.wake_button = None
def audio_to_text(message_input):
# initialise the recognizer
r = Recognizer()
# Use the sysdefault microphone
for i, microphone_name in enumerate(Microphone.list_microphone_names()):
if microphone_name == "sysdefault":
micro = Microphone(device_index=i)
with micro as source:
# Extract the audio and convert it to text
audio = r.listen(source)
# recognize speech using Google Speech Recognition and add it to the text input area
try:
message_input.setText(r.recognize_google(audio))
except UnknownValueError:
message_input.setText('The audio was not understood')
def myCommand(self):
#listens for commands
r = Recognizer()
with Microphone() as source:
print('Say something...')
r.pause_threshold = 1
r.adjust_for_ambient_noise(source, duration=1)
audio = r.listen(source)
try:
command = r.recognize_google(audio).lower()
print('You said: ' + command + '\n')
# loop back to continue to listen for commands if unrecognizable speech is received
except UnknownValueError:
print('....')
command = speech.myCommand(self)
return command
def get_audio():
rObject = Recognizer()
audio = ''
with Microphone() as source:
print("Speak...")
# recording the audio using speech recognition
audio = rObject.listen(source, phrase_time_limit=5)
print("Stop.") # limit 5 secs
try:
text = rObject.recognize_google(audio, language='en-US')
print("You: ", text)
return text
except:
chatbot_speaks("Could not understand your audio, Please try again !")
return 0