Speakerbox: Few-Shot Learning for Speaker Identification with Transformers

Speakerbox is a library which enables:

1. the creation of an audio-based speaker identification datasets
2. training an audio-based speaker identification transformer model
3. applying a pre-trained audio-based speaker identification to a new audio file and predicting portions of audio as the known speakers

This release completes the work for our Journal of Open Source Software (JOSS) paper.

The changes from v1.0.0 include:

• An example video attached to the README which demonstrates how to use this library (on a toy example) -- YouTube Video Link.
• A more thorough workflow diagram attached to the README which explains how all the components of this library fit together.
• The example data used for model reproduction is now available for download directly from a Python command.
• Upgrading to newer dependency versions.
• The JOSS paper content: paper.md.
• Upgraded linting with ruff.
• Minor improvements to logging.