ortizcruz
1.7 KiB
AutoTranscript: Fully Automated Transcription using AI
AutoTranscript is a PyTorch based interface speech-to-text tool to generate fully automated transcriptions. AutoTranscript uses AI models containing speaker diarization models:
- whisper: A general-purpose speech recognition model.
- payannote-audio: An open-source toolkit for speaker diarization-.
AutoTranscript can be used as a command-line interface, a webserver, or as a Python API.
Install AutoTranscript :
The following command will pull and install the latest commit from this repository, along with its Python dependencies.
pip install https://github.com/JSchmie/autotranscript.git
- Python version: Python 3.9
- PyTorch version: Python 1.11.0
Usage examples
Python usage
from autotranscript import AutoTranscribe
model = AutoTranscribe()
text = model.transcribe("audio.wav")
print(f"Transcription: \n{text}")
Command-line usage
If you do not want to control the optimization using Python, you also can use the command-line:
autotranscript audio.wav
Run the following to view all available options:
autotranscript -h
Documentation usage
To access the documentation run the following command from the docs/_build/html directory:
python -m http.server
Roadmap
- Model quantization
- Model fine-tuning
- Implementation of LLMs
- Executable for Windows
Contact
For queries contact Jacob Schmieder at Jacob.Schmieder@dbfz.de
License
Acknowledgments
Special thanks go to the colleagues of the KIDA project - especially the teams in I5 and I2 - and the BMEL (Bundesministerium für Ernährung und Landwirtschaft).