a_DCF

a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification, published in Odyssey 2024 [(Paper)]

Installation

• We support package installation via PyPi. For Python users, pip install a_dcf will install the package.
• Alternatively, installation of this repo is also available via python -m pip install -e .

Usage

• With default a-DCF configuration (a-DCF1 in the paper)

from a_dcf import a_dcf
results = a_dcf.calculate_a_dcf(YOUR_SCORE_FILE_DIR)

Score file format

• The score file format should adhere to SASV protocol.
  • Four columns required: (i) speaker model, (ii) test utterance, (iii) score, and (iv) trial type
    • Trial type should comprise three types: target, nontarget, and spoof
• Partial example of score file

# <speaker_id> <utterance_id> <score> <trial type> 
LA_0015 LA_E_1103494 6.960134565830231 target
LA_0007 LA_E_5013670 6.150891035795212 nontarget
LA_0007 LA_E_7417804 -2.306972861289978 spoof

• Evaluation protocol (i.e., set of trials) used in SASV2022 Challenge (from ASVspoof2019 LA corpora)
  • https://github.com/sasv-challenge/SASVC2022_Baseline/blob/main/protocols/ASVspoof2019.LA.asv.eval.gi.trl.txt