STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Source Tracing and Attribution

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0196844" target="_blank" >RIV/00216305:26230/26:0196844 - isvavai.cz</a>

Result on the web

<a href="https://www.isca-archive.org/interspeech_2025/firc25_interspeech.html" target="_blank" >https://www.isca-archive.org/interspeech_2025/firc25_interspeech.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2025-2065" target="_blank" >10.21437/Interspeech.2025-2065</a>

Result language

angličtina

Original language name

STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Source Tracing and Attribution

Original language description

A key research area in deepfake speech detection is source tracing - determining the origin of synthesised utterances. The approaches may involve identifying the acoustic model (AM), vocoder model (VM), or other generation-specific parameters. However, progress is limited by the lack of a dedicated, systematically curated dataset. To address this, we introduce STOPA, a systematically varied and metadata-rich dataset for deepfake speech source tracing, covering 8 AMs, 6 VMs, and diverse parameter settings across 700k samples from 13 distinct synthesisers. Unlike existing datasets, which often feature limited variation or sparse metadata, STOPA provides a systematically controlled framework covering a broader range of generative factors, such as the choice of the vocoder model, acoustic model, or pretrained weights, ensuring higher attribution reliability. This control improves attribution accuracy, aiding forensic analysis, deepfake detection, and generative model transparency.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2025

ISBN

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ISSN

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e-ISSN

2958-1796

Number of pages

5

Pages from-to

1553-1557

Publisher name

International Speech Communication Association

Place of publication

Rotterdam, The Netherlands

Event location

Rotterdam

Event date

Aug 17, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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