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