aTrain

A GUI tool for offline speech transcription

CommonProductProductivitySpeech TranscriptionMachine Learning

aTrain is an offline speech transcription tool developed by researchers at the Center for Business Analytics & Data Science, Graz University, and tested by researchers at the Graz Knowledge Center. It utilizes the latest machine learning models to automatically transcribe audio recordings without uploading any data. aTrain is featured in a paper published in the *Journal of Behavioral and Experimental Finance*. Please cite this paper if used for research. It supports Windows 10 and 11 systems, with users able to download and install it through the Microsoft App Store or the BANDAS Center website. Installation guides for Linux systems are available on the Wiki. aTrain's primary advantages include privacy protection by avoiding data uploads, high-quality transcription accuracy, and fast processing speeds on your local computer.

Performs speech transcription using the latest machine learning models
Supports speech segmentation
automatically differentiating between different speakers
CUDA-supported NVIDIA GPUs can significantly accelerate transcription speed
Compatible with Windows 10 and 11
with manual installation guides for Linux systems
No data uploads required
ensuring user privacy
Suitable for both research and commercial use
enhancing workflow efficiency

aTrain is primarily aimed at researchers
journalists
legal professionals
and any user who requires efficient processing of large volumes of audio data. It is particularly suitable for users who need to protect data privacy and prefer local data processing.

Researchers use aTrain to transcribe interview recordings for behavioral finance research.
Journalists leverage aTrain to quickly transcribe interview content
improving reporting efficiency.
Legal professionals utilize aTrain to transcribe court recordings for case analysis.

1. Access the Microsoft App Store or the BANDAS Center website to download the aTrain installer.
2. Follow the provided installation guide based on your system type (Windows or Linux).
3. After installation
launch the aTrain application.
4. Import the audio files you need to transcribe.

Visit

aTrain Visit Over Time

Monthly Visits

499904316

Bounce Rate

37.31%

Page per Visit

5.8

Visit Duration

00:06:52

aTrain Visit Trend

aTrain Visit Geography

aTrain Traffic Sources

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