Skip to content

Real-time AI language processor for transcription, translation and speech synthesis

License

Notifications You must be signed in to change notification settings

xemles/lexisynth

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LexiSynth

LexiSynth is an AI speech analysis and synthesis tool built with Python. It leverages the power of PyInstaller, CTranslate2, and Faster-Whisper to provide a robust and efficient solution for speech processing tasks.

Features

  • Speech Analysis: Analyze speech patterns and extract meaningful insights.
  • Speech Synthesis: Convert text into natural-sounding speech.
  • Built with Python: Leverage the power and simplicity of Python for customization and rapid development.
  • CTranslate2 and Faster-Whisper: Utilize these powerful libraries for efficient and high-quality speech processing.

Build Instructions

To build LexiSynth using PyInstaller, follow the steps below:

  1. Ensure you have Python 3.11. You can check your Python version by running python --version in your terminal.

  2. Install the required Python packages. In the root directory of the project, run:

pip install -r requirements.txt
  1. Build the executable using PyInstaller. In the root directory of the project, run:

MacOSX:

pyinstaller --clean --noconfirm lexisynth.spec -- --mac_osx

Windows:

pyinstaller --clean --noconfirm lexisynth.spec -- --win

This will create a dist directory containing the executable file for LexiSynth.

Usage

To use LexiSynth, simply run the executable file created in the dist directory.

License

This project is released under the MIT license. See LICENSE for details.

About

Real-time AI language processor for transcription, translation and speech synthesis

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.5%
  • Inno Setup 0.5%