Text to Speech (TTS) Project

This project leverages pyttsx3 for microsoft'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 Text-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.
• Easy Configuration: Simple setup using two text files.

Prerequisites

• pyttsx3

Setup

1. Install dependencies:

   pip install pyttsx3
   

2. Create Configuration Files:

   • input_sentence_file.txt: This file will contain the sentences that need to be spoken.
   • stop_or_not_file.txt: This file will control whether the text-to-speech function continues to check the input text file for new sentences. It should contain either "A" or "B".
     • "A" means the function will continue to work.
     • "B" means the function will stop.

Usage

To use the text-to-speech functionality, import the Speaker class from python-text-to-speech and initialize it with the appropriate parameters.

from python-text-to-speech import Speaker

ai = Speaker(
    input_file_path="input_sentence_file.txt",
    stop_file_path="stop_or_not_file.txt",
    log_file="TTS.log"
    translate=True | False,
    speak_continous=True | False
)

ai.add_more_voice("/temporary_directory_for_working", "voice_install_log_file.log") # Initialize all the voices avaliable in system

voices_list = ai.populate_voices() # to get list of available voices in your system

ai.set_voice(voice_name) # voice name should be the exact name of voice provided in vlices_list

ai.speak() # to speak sentences

Parameters

• input_file_path (str): Path to the file containing sentences to be spoken.
• stop_file_path (str): Path to the file that controls whether to stop or continue.
• log_file (str): Path to a log file where all the logs will be stored.
• translate (bool): Set to True to translate the text to English before speaking, False otherwise.
• speak_continous (bool): Set to True for continuous text-to-speech, False for single execution.

Continuous Usage

If you want the text-to-speech 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 threading
from python-text-to-speech import Speaker

def tts_thread():
    ai = Speaker(
        input_file_path="input_sentence_file.txt",
        stop_file_path="stop_or_not_file.txt",
        translate=True,
        speak_continous=True
    )
    ai.speak()

# Start TTS in a separate thread
thread = threading.Thread(target=tts_thread)
thread.start()
thread.join()

To make the program speak, update the sentence in input_sentence_file.txt. To stop the function, change the value in stop_or_not_file.txt from "A" to "B".

How to add more voices

• Open windows setting and navigate to Time & language => Speech => Add voices and download the language whose voice you need to use.
• Wait for 5 minutes the restart your device.
• import System_Voices_Manager from python-text-to-speech.Register and follow the code

from python-text-to-speech.Register import System_Voices_Manager
import os

if __name__ == "__main__":
    sys = System_Voices_Manager("voice_install_log_file.log")
    sys.install_all_voices(os.path.join(os.getcwd(), "export"))

• Now all voices are ready to use. You can populate the voice and set it to engine. Read the usage to know how to set voice.

This project is managed by Artex AI. Soon an improved and stable version will roll out