python text to speech
The best library because you dont have to save the
text file or open the file to start the speech
pip install pyttsx3
import pyttsx3
engine = pyttsx3.init()
engine.say("Hello world")
engine.runAndWait()python text to speech
The best library because you dont have to save the
text file or open the file to start the speech
pip install pyttsx3
import pyttsx3
engine = pyttsx3.init()
engine.say("Hello world")
engine.runAndWait()python speech to text
import speech_recognition as sr
def main():
r = sr.Recognizer()
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source)
audio = r.listen(source)
try:
print(r.recognize_google(audio))
except Exception as e:
print("Error : " + str(e))
with open("recorded.wav", "wb") as f:
f.write(audio.get_wav_data())
if __name__ == "__main__":
main()python speech recognition
import speech_recognition as sr
def take_command():
r = sr.Recognizer()
with sr.Microphone() as source:
print('Listening...')
r.pause_threshold = 1
r.energy_threshold = 50
audio = r.listen(source)
try:
print('Recognizing...')
qry = r.recognize_google(audio, language='en-in')
print(f"user said: {qry}n")
# if any error occurs this line will run
except Exeption as e:
# if you don't want to print the error comment the bottom line
print(e)
print('Say that again pleasen')
return 'None'
return qry
if __name__ == '__main__':
while True:
qry = takecommand().lower()
# now you can use the takecommand function where you want to recognize speech
# And please experiment with the above code
# like what pause_threshold and energy_threshold do
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