elpis 0.1.1

A library to perform automatic speech recognition with huggingface transformers.

Elpis Core Library

The Core Elpis Library, providing a quick api to :hugs: transformers for automatic-speech-recognition.

You can use the library to:

• Perform standalone inference using a pretrained HFT model.
• Fine tune a pretrained ASR model on your own dataset.
• Generate text and Elan files from inference results for further analysis.

Documentation

Documentation for the library can be be found here.

Dependencies

While we try to be as machine-independant as possible, there are some dependencies you should be aware of when using this library:

• Processing datasets (elpis.datasets.processing) requires librosa, which depends on having libsndfile installed on your computer. If you're using elpis within a docker container, you may have to manually install libsndfile.
• Transcription (elpis.transcription.transcribe) requires ffmpeg if your audio you're attempting to transcribe needs to be resampled before it can be used. The default sample rate we assume is 16khz.
• The preprocessing flow (elpis.datasets.preprocessing) is free of external dependencies.

Installation

You can install the elpis library with: pip3 install elpis