- 1 year ago
Using Windows Speech Recognition with Python?
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To use Windows Speech Recognition with Python, you can utilize the pyttsx3
library, which provides a simple interface for text-to-speech synthesis in Python, and the SpeechRecognition
library, which allows for speech recognition. Here's how you can get started:
Install Required Libraries:
- Install
pyttsx3
by running the following command:pip install pyttsx3
- Install
SpeechRecognition
by running the following command:pip install SpeechRecognition
- Install
Text-to-Speech with
pyttsx3
:- Import the
pyttsx3
library in your Python script:pythonimport pyttsx3
- Create an instance of the
pyttsx3
engine:pythonengine = pyttsx3.init()
- Use the
engine.say()
method to input the text you want to convert to speech:pythonengine.say("Hello, how are you?")
- Run the speech synthesis using the
engine.runAndWait()
method:pythonengine.runAndWait()
- Import the
Speech Recognition with
SpeechRecognition
:- Import the
SpeechRecognition
library in your Python script:pythonimport speech_recognition as sr
- Create an instance of the
Recognizer
class:pythonr = sr.Recognizer()
- Use the
sr.Microphone()
method to select the microphone as the audio source:pythonwith sr.Microphone() as source:
print("Say something...")
audio = r.listen(source)
- Use the
r.recognize_google()
method to recognize the speech and convert it to text:pythontry:
text = r.recognize_google(audio)
print("You said:", text)
except sr.UnknownValueError:
print("Speech recognition could not understand audio.")
except sr.RequestError as e:
print("Could not request results from the Speech Recognition service; {0}".format(e))
- Import the
By following these steps, you can utilize the pyttsx3
library for text-to-speech synthesis and the SpeechRecognition
library for speech recognition within your Python script. Make sure your system has a working microphone and audio output to properly utilize speech recognition and text-to-speech functionalities.