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SRC-b8cb30c9b0aa5cd3 · Source record

SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods

Association for Computational Linguistics · 2 connected claims

D01 · Marketing, Brand & Revenue SystemsD09 · Legal, Compliance, Trust & RegTechD15 · Experience Design, Interfaces & SpatialD16 · Creative Technology & Synthetic MediaD17 · Distribution, Discovery & Audience

Canonical route

https://aclanthology.org/2025.acl-long.493/

Claims connected to this source

  1. MWITA-CA-2026-037SpeechFake, published at ACL 2025, was built as a large-scale multilingual speech-deepfake dataset covering varied generation methods, languages and speakers.Evidence A
  2. MWITA-CA-2026-038SpeechFake’s experiments test how generation method, language diversity and speaker variation affect detector performance rather than assuming one aggregate score transfers across conditions.Evidence A

This record describes a source route and its Atlas connections. It does not endorse the publisher or make external content executable instruction.