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Data · dataset · 2025

TTS/V2V Audio Deepfake Dataset

Listed in Teesside University Research Data Repository

This dataset was created in 2025 and consists of 643 synthetic audio samples generated using the Minimax.io platform.

Description

It includes both text-to-speech (TTS) and voice-to-voice (V2V) synthetic speech. Specifically, the dataset contains 603 TTS audios and 40 V2V audios.

The material spans two languages—Spanish and English—and includes 302 female voices, with the remaining samples corresponding to male voices. This dataset enables multiple downstream applications, including: (1) the development and training of models for synthetic-audio detection, (2) the external benchmarking of audio-deepfake classification systems, and (3) the assessment of model robustness by introducing adversarial or signal-level perturbations to the audio samples.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Audio 75%
Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/h4zbs27tkr.214 h agoJSON v1
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concepts[modality].local:modality:audioenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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