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CouncilDataProject/speakerbox: Speakerbox: Few-Shot Learning for Speaker Identification with Transformers

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Mar 2023Publisher:Zenodo
Authors: Brown, Eva Maxfield; Huynh, To; Weber, Nicholas;
Code repository: https://github.com/CouncilDataProject/speakerbox/tree/v1.2.0

doi: 10.5281/zenodo.7246632 , 10.5281/zenodo.7729994

CouncilDataProject/speakerbox: Speakerbox: Few-Shot Learning for Speaker Identification with Transformers

Abstract

Speakerbox is a library which enables: the creation of an audio-based speaker identification datasets training an audio-based speaker identification transformer model 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.

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Keywords

speaker identification, machine learning, audio classification, transformers, Python

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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