From 72ff979a2e46d6770149a4ac2d077f4fee6172e2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?J=C3=BCrgen=20Flei=C3=9F?=
 <118339672+JuergenFleiss@users.noreply.github.com>
Date: Thu, 18 Jan 2024 13:01:02 +0100
Subject: [PATCH] Add GUI faster-whisper project README.md (#554)

Added aTrain GUI faster-whisper transcription and diarization tool as community project.

Co-authored-by: JuergenFleiss <118339672+Juergen-J-F@users.noreply.github.com>
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 3bf9a01..e8ad422 100644
--- a/README.md
+++ b/README.md
@@ -182,9 +182,9 @@ Here is a non exhaustive list of open-source projects using faster-whisper. Feel
 * [asr-sd-pipeline](https://github.com/hedrergudene/asr-sd-pipeline) provides a scalable, modular, end to end multi-speaker speech to text solution implemented using AzureML pipelines.
 * [Open-Lyrics](https://github.com/zh-plus/Open-Lyrics) is a Python library that transcribes voice files using faster-whisper, and translates/polishes the resulting text into `.lrc` files in the desired language using OpenAI-GPT.
 * [wscribe](https://github.com/geekodour/wscribe) is a flexible transcript generation tool supporting faster-whisper, it can export word level transcript and the exported transcript then can be edited with [wscribe-editor](https://github.com/geekodour/wscribe-editor)
+* [aTrain](https://github.com/BANDAS-Center/aTrain) is a graphical user interface implementation of faster-whisper developed at the BANDAS-Center at the University of Graz for transcription and diarization in Windows ([Windows Store App](https://apps.microsoft.com/detail/atrain/9N15Q44SZNS2)) and Linux.
 * [WhisperLive](https://github.com/collabora/WhisperLive) is a nearly-live implementation of OpenAI's Whisper which uses faster-whisper as the backend to transcribe audio in real-time.
 
-
 ## Model conversion
 
 When loading a model from its size such as `WhisperModel("large-v3")`, the correspondig CTranslate2 model is automatically downloaded from the [Hugging Face Hub](https://huggingface.co/Systran).