A collection of scripts to preprocess ASR datasets and finetune language-specific Wav2Vec2 XLSR models

Overview

wav2vec-toolkit

A collection of scripts to preprocess ASR datasets and finetune language-specific Wav2Vec2 XLSR models

This repository accompanies the 🤗 HuggingFace Community Paper on finetuning Wav2Vec2 XLSR for low-resource languages [link]

How to contribute

(Mostly identical to the huggingface/datasets contributing guide)

  1. Fork the repository by clicking on the 'Fork' button on the repository's page. This creates a copy of the code under your GitHub user account.

  2. Clone your fork to your local disk, and add the base repository as a remote:

    git clone [email protected]:<your Github handle>/wav2vec-toolkit.git
    cd wav2vec-toolkit
    git remote add upstream https://github.com/anton-l/wav2vec-toolkit.git
  3. Create a new branch to hold your development changes:

    git checkout -b a-descriptive-name-for-my-changes

    do not work on the master branch.

  4. Set up a development environment by running the following command in a virtual environment:

    pip install -e ".[dev]"

    (If wav2vec-toolkit was already installed in the virtual environment, remove it with pip uninstall wav2vec_toolkit before reinstalling it in editable mode with the -e flag.)

  5. Develop the features on your branch.

  6. Format your code. Run black and isort so that your newly added files look nice with the following command:

    black --line-length 119 --target-version py36 src scripts
    isort src scripts
  7. Once you're happy with your implementation, add your changes and make a commit to record your changes locally:

    git add .
    git commit

    It is a good idea to sync your copy of the code with the original repository regularly. This way you can quickly account for changes:

    git fetch upstream
    git rebase upstream/main

    Push the changes to your account using:

    git push -u origin a-descriptive-name-for-my-changes
  8. Once you are satisfied, go the webpage of your fork on GitHub. Click on "Pull request" to send your to the project maintainers for review.

Owner
Anton Lozhkov
Machine Learning Engineer @ Embedika
Anton Lozhkov
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