r = sr.Recognizer()
with sr.Microphone() as source:
print("speak up:")
a = r.listen(source)
try:
text = r.recognize_google(audio)
print(text)
except:
print("sorry didn't get you")
even after talking the output is still
sorry didn't get you
I am experienced with this package. Tell me if this works for you...
def takeCommand():
r = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
r.pause_threshold = 1
audio = r.listen(source)
try:
print("Recognizing...")
query = r.recognize_google(audio, language='en-us')
print("User said: {query}\n")
except Exception as e:
print(e)
print("Google was unable to hear")
return "None"
return query
Related
I want to record the audio and get an audiofile while using Speech Recognition. For some reason my program always crashes after a few moments. It also does not come to creating the audiofile.
I suspect there is a problem with using threads as both processes worked fine on their own. Unfortunately I could not find anything.
Does anyone have an idea how I can fix this or how I can use Speech Recognition while recording sound?
import threading
import speech_recognition as sr
import pyaudio
import wave
import time
status = True
def record():
chunk = 1024
sample_format = pyaudio.paInt16
channels = 1
fs = 44100
filename = 'output.wav'
global status
p = pyaudio.PyAudio()
print('Recording')
stream = p.open(format=sample_format,
channels=channels,
rate=fs,
frames_per_buffer=chunk,
input=True)
frames = []
while status == True:
data = stream.read(chunk)
frames.append(data)
stream.stop_stream()
stream.close()
p.terminate()
print('Finished recording')
wf = wave.open(filename, 'wb')
wf.setnchannels(channels)
wf.setsampwidth(p.get_sample_size(sample_format))
wf.setframerate(fs)
wf.writeframes(b''.join(frames))
wf.close()
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
said = ''
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')
thread1=threading.Thread(target=record)
thread1.start()
thread2=threading.Thread(target=get_audio)
thread2.start()
time.sleep(5)
status=False
You can record and save sound with Speech Recognition. Just use this part of the code and it will create a speech.wav file:
def get_audio():
while True:
r = sr.Recognizer()
with sr.Microphone() as source:
print("Höre zu ...")
audio = r.listen(source)
with open('speech.wav', 'wb') as f:
f.write(audio.get_wav_data())
try:
said = r.recognize_google(audio, language="de_DE")
print(said)
except Exception as e:
print('')
I got a basic code on the internet and edited it to fit my requirements, on the hardware side I used Arduino uno, relays, and esp8266 esp01 wifi module, and controlled it using blynk and ifttt
the problem is that the assistant is very slow, I first thought that maybe google text to speech is the problem so I tried the pyttsx3 module to do that offline but that didn't help.
so I thought maybe the if statements are a problem so I made each one of them into a function and tried multi-threading but that didn't help either...
so I thought that it has to listen and process all I speak .. so I added a trigger word so only after the trigger word is used it starts to listen for commands,
sometimes it will work properly at first then get slower
I don't know what else to do
here is the code I am using:
import pyttsx3
import speech_recognition as sr
import datetime
import wikipedia
import webbrowser
import os
import requests
import time
import smtplib
from goto import goto, label
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id)
def speak(audio):
engine.say(audio)
engine.runAndWait()
def wishMe():
speak("Hello sir ,Assistant booting up")
def takeCommand():
r = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
r.pause_threshold = 0.5
audio = r.listen(source)
print("saving")
try:
print("Recognizing...")
query = r.recognize_google(audio, language='en-in')
print(f"User said: {query}\n")
except Exception as e:
print(e)
print("Say that again please...")
return
return query
i=0
j=0
if __name__ == "__main__":
wishMe()
while True:
print("iteration jarvis",i)
i=i+1
r = sr.Recognizer()
with sr.Microphone() as source:
print("waiting...")
r.pause_threshold = 0.5
audio = r.listen(source)
try:
query = r.recognize_google(audio, language='en-in')
print(f"User said: {query}\n")
if 'Jarvis' in query:
query=takeCommand().lower()
except Exception as e:
print(e)
print("jaris not called")
continue
print("iteration command",j)
j=j+1
if 'how are you' in query:
speak("good")
elif 'open google' in query:
webbrowser.open("google.com")
speak("There you go!")
elif 'lights on' in query:
requests.post("https://maker.ifttt.com/trigger/light_on/with/key/d*************")
speak("ok sure")
elif 'lights off' in query:
requests.post("https://maker.ifttt.com/trigger/lights_off/with/key/d************")
speak("with pleasure")
elif 'play music' in query:
music_dir = 'D:\\Non Critical\\songs\\Favorite Songs2'
songs = os.listdir(music_dir)
print(songs)
os.startfile(os.path.join(music_dir, songs[0]))
elif 'stop listening' in query:
speak("going offline")
exit()
You might want to only initialize your recognizer once.
I took the liberty of cleaning up and refactoring the code a little too.
from itertools import count
import pyttsx3
import speech_recognition as sr
import webbrowser
import os
import requests
engine = pyttsx3.init("sapi5")
voices = engine.getProperty("voices")
engine.setProperty("voice", voices[0].id)
recognizer = sr.Recognizer()
recognizer.pause_threshold = 0.5
def speak(audio):
engine.say(audio)
engine.runAndWait()
def takeCommand():
with sr.Microphone() as source:
print("Listening...")
audio = recognizer.listen(source)
print("saving")
print("Recognizing...")
query = recognizer.recognize_google(audio, language="en-in")
print(f"User said: {query}\n")
return query
def process_query(query):
if "how are you" in query:
speak("good")
elif "open google" in query:
webbrowser.open("google.com")
speak("There you go!")
elif "lights on" in query:
requests.post("https://maker.ifttt.com/trigger/light_on/with/key/d*************")
speak("ok sure")
elif "lights off" in query:
requests.post("https://maker.ifttt.com/trigger/lights_off/with/key/d************")
speak("with pleasure")
elif "play music" in query:
music_dir = "D:\\Non Critical\\songs\\Favorite Songs2"
songs = os.listdir(music_dir)
print(songs)
os.startfile(os.path.join(music_dir, songs[0]))
elif "stop listening" in query:
speak("going offline")
exit()
def main():
speak("Hello sir ,Assistant booting up")
for iteration in count(1):
print("iteration jarvis", iteration)
try:
query = takeCommand()
except Exception as e:
print(e)
speak("Recognition error: {}".format(e))
else:
try:
process_query(query)
except Exception as e:
print(e)
speak("Processing error: {}".format(e))
if __name__ == "__main__":
main()
I get error -9999 on the following line:
with sr.Microphone() as source:
The confusing part is that this worked for several days without changing anything and now this happens
r.dynamic_energy_threshold = False
r.energy_threshold = 250
print((r.energy_threshold))
try:
with sr.Microphone() as source:
try:
print("waiting for mic3")
audio = r.listen(source, timeout = 0.1)
print(audio)
print("waiting for mic4")
if audio != "":
gaudio = "11&%&" + r.recognize_google(audio)
print("waiting for mic5")
co = 1
print(co)
print(gaudio)
s.sendall(gaudio.encode("utf-8"))
except Exception as e:
co = 0
print(e)
except Exception as e:
co = 0
print(e)
Thanks for the help, I can't even imagine whats causing this.
i have tried
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
print("Speak:")
audio = r.listen(source)
try:
print("You said " + 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))
but i didn't get the expected output it always shows could not understand the voice
I would check out:
https://pypi.org/project/SpeechRecognition/
Should be just what you need :-D
Hello I have copied code below from website about python for convert my voice to text but it has a bug that i can't understand or fix. Can you guy teach me some reason.
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source)
while True:
print("said")
audio = r.listen(source)
try:
print("You said " + r.recognize_google(audio))
except LookupError:
print("i do not understand audio")
enter image description here
use this code.It worked for me in pycharm
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
print("speak into mic")
audio = r.listen(source,timeout=2)
try:
print("Transcription:" + r.recognize_google(audio))
except sr.UnknownValueError:
print("Audio Unintelligible")
except sr.RequestError as e:
print("cannot obtain results : {0}".format(e))
`