In this Python tutorial I want to show you Python Speech Recognition, and how you can Convert Speech to Text in Python using Google Speech. Speech Recognition is a library for performing speech recognition, with support for several engines and APIs, online and offline. The Ultimate Guide To Speech Recognition With Python: How speech recognition works, What packages are available on PyPI, How to install and use the SpeechRecognition package—a full-featured and easy-to-use Python speech recognition library.
In this article i want to show you an example of Python With Google Speech, so Speech Recognition is a library for performing speech recognition, with support for several engines and APIs, online and offline.
So now for this first of all you need to install speechRecognition Library in Python ,
First, make sure you have all the requirements listed in the “Requirements” section.
The easiest way to install this is using pip install SpeechRecognition.
Otherwise, download the source distribution from PyPI, and extract the archive.
In the folder, run python setup.py install.
import speech_recognition as sr def main(): r = sr.Recognizer() with sr.Microphone() as source: r.adjust_for_ambient_noise(source) print("Please say something") audio = r.listen(source) print("Recognizing Now .... ") # recognize speech using google try: print("You have said \n" + r.recognize_google(audio)) print("Audio Recorded Successfully \n ") except Exception as e: print("Error : " + str(e)) # write audio with open("recorded.wav", "wb") as f: f.write(audio.get_wav_data()) if __name__ == "__main__": main()
So at the top first we have created a recognizer object, also for removing noises we need to add this line of code
And in here we are recognizing the speech using Google Speech
print("You have said \n" + r.recognize_google(audio))
In here we are going to record the audio
with open("recorded.wav", "wb") as f: f.write(audio.get_wav_data())
Now run the code and this will be the result
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