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python-speech-to-text
Advanced tools
This project leverages Selenium
and webdriver_manager
to utilize Chrome's built-in text-to-speech feature. It's designed for simplicity and ease of use, allowing you to configure continuous text-to-speech functionality and optional English translation.
Selenium
webdriver_manager
Install dependencies:
pip install selenium webdriver_manager mtranslate
Create Configuration Files:
write_text_file_path.txt
: This file will be the file in which the text is written by converting from speech.write_text_file_path.txt
: This file will be the file in which the text is written by converting from speech.translate
(bool): Set to True to translate the text to English before speaking, False otherwise.To use the text-to-speech functionality, import the Listener
class from python-speech-to-text
and initialize it with the appropriate parameters.
If you want the speech-to-text functionality to run continuously, it is recommended to use threading. This will prevent the function from blocking the execution of further code until it is stopped.
Example with Threading
import os
import threading
from python-speech-to-text import Listener
a = Listener(os.path.join(os.getcwd(), "text.txt"))
listener_thread = threading.Thread(target=a.listen) # It is compulsory to use threading or it will just block the execution of other code and also won't stop if needed.
listener_thread.start() # start the thread
# Now for stop listening
a.StopRecognition()
listener_thread.join() # wait until the thread finishes
To make the program listen properly, speak a bit loud and clear words.
This project is managed by Artex AI. Soon an improved and stable version will roll out
FAQs
A python speech to text library
We found that python-speech-to-text demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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