cff-version: 1.2.0
message: "If you use this software, please cite it using the metadata below."
type: software
title: Jabberjay
abstract: >
  Jabberjay is a unified Python API and CLI for synthetic voice detection.
  It brings together state-of-the-art deepfake audio detection models —
  including ViT, AST, Wav2Vec2, HuBERT, WavLM, RawNet2, and a classical
  baseline — under a single consistent interface, allowing researchers and
  practitioners to detect AI-generated speech without wrestling with
  individual model dependencies and conventions.
authors:
  - family-names: Boakes
    given-names: Matthew
    email: Matthew.Boakes@Gmail.com
    orcid: "https://orcid.org/0000-0002-9377-6240"
identifiers:
  - type: doi
    value: "10.5281/zenodo.19056977"
    description: "Zenodo concept DOI (resolves to the latest archived version)"
repository-code: "https://github.com/MattyB95/Jabberjay"
url: "https://mattyb95.github.io/Jabberjay"
repository-artifact: "https://pypi.org/project/Jabberjay/"
license: MIT
version: 0.0.9
date-released: "2026-04-04"
keywords:
  - synthetic voice detection
  - deepfake detection
  - anti-spoofing
  - audio classification
  - speech
  - ASVspoof
  - machine learning
  - transformers
