python-speech-to-text 0.0.1

A python speech to text library

Speech to Text (STT) Project

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.

Features

• Continuous Speech-to-Speech: Decide if you want the text-to-speech functionality to run continuously.
• Optional English Translation: Choose whether to translate text to English before speaking.
• 100% accuracy: Gives you the 100% accuracy in listening by google chrome's algorithm.

Prerequisites

• Selenium
• webdriver_manager

Setup

1. Install dependencies:

   pip install selenium webdriver_manager mtranslate
   

2. Create Configuration Files:

   • write_text_file_path.txt: This file will be the file in which the text is written by converting from speech.

Parameters

• 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.

Usage

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