Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0199995" target="_blank" >RIV/00216305:26230/26:0199995 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.isca-archive.org/interspeech_2025/chen25j_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2025/chen25j_interspeech.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2025-1297" target="_blank" >10.21437/Interspeech.2025-1297</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy
Popis výsledku v původním jazyce
Recent advances in neural audio codec-based speech generation (CoSG) models have produced remarkably realistic audio deepfakes. We refer to deepfake speech generated by CoSG systems as codec-based deepfake, or CodecFake. Although existing anti-spoofing research on CodecFake predominantly focuses on verifying the authenticity of audio samples, almost no attention was given to tracing the CoSG used in generating these deepfakes. In CodecFake generation, processes such as speech-to-unit encoding, discrete unit modeling, and unit-to-speech decoding are fundamentally based on neural audio codecs. Motivated by this, we introduce source tracing for CodecFake via neural audio codec taxonomy, which dissects neural audio codecs to trace CoSG. Our experimental results on the CodecFake+ dataset provide promising initial evidence for the feasibility of CodecFake source tracing while also highlighting several challenges that warrant further investigation.
Název v anglickém jazyce
Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy
Popis výsledku anglicky
Recent advances in neural audio codec-based speech generation (CoSG) models have produced remarkably realistic audio deepfakes. We refer to deepfake speech generated by CoSG systems as codec-based deepfake, or CodecFake. Although existing anti-spoofing research on CodecFake predominantly focuses on verifying the authenticity of audio samples, almost no attention was given to tracing the CoSG used in generating these deepfakes. In CodecFake generation, processes such as speech-to-unit encoding, discrete unit modeling, and unit-to-speech decoding are fundamentally based on neural audio codecs. Motivated by this, we introduce source tracing for CodecFake via neural audio codec taxonomy, which dissects neural audio codecs to trace CoSG. Our experimental results on the CodecFake+ dataset provide promising initial evidence for the feasibility of CodecFake source tracing while also highlighting several challenges that warrant further investigation.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the Annual Conference of the International Speech Communication Association Interspeech
ISBN
—
ISSN
—
e-ISSN
2958-1796
Počet stran výsledku
5
Strana od-do
1538-1542
Název nakladatele
International Speech Communication Association
Místo vydání
Rotterdam, Nizozemí
Místo konání akce
Rotterdam
Datum konání akce
17. 8. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—