PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0199994" target="_blank" >RIV/00216305:26230/26:0199994 - isvavai.cz</a>

Result on the web

<a href="https://www.isca-archive.org/interspeech_2025/zhang25g_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2025/zhang25g_interspeech.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/interspeech.2025-942" target="_blank" >10.21437/interspeech.2025-942</a>

Result language

angličtina

Original language name

PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing

Original language description

Neural speech editing enables seamless partial edits to speech utterances, allowing modifications to selected content while preserving the rest of the audio unchanged. This useful technique, however, also poses new risks of deepfakes. To encourage research on detecting such partially edited deepfake speech, we introduce PartialEdit, a deepfake speech dataset curated using advanced neural editing techniques. We explore both detection and localization tasks on PartialEdit. Our experiments reveal that models trained on the existing Partial-Spoof dataset fail to detect partially edited speech generated by neural speech editing models. As recent speech editing models almost all involve neural audio codecs, we also provide insights into the artifacts the model learned on detecting these deepfakes. Further information about the PartialEdit dataset and audio samples can be found on the project page: https: //yzyouzhang.com/PartialEdit/index.html.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

ISBN

—

ISSN

—

e-ISSN

2958-1796

Number of pages

5

Pages from-to

5353-5357

Publisher name

ISCA

Place of publication

Rotterdam, Nizozemí

Event location

Rotterdam

Event date

Aug 17, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001613931400497