Datasets › PartialSpoof

PartialSpoof

Introduced by Lin Zhang et al. in An Initial Investigation for Detecting Partially Spoofed Audio6 Apr 2021 archive 2025-07-28

PartialSpoof is a dataset of partially-spoofed data to evaluate detection of partially-spoofed speech data. It has been built based on the ASVspoof 2019 LA database since the latter covers 17 types of spoofed data produced by advanced speech synthesizers, voice converters, and hybrids. The authors used the same set of bona fide data from the ASVspoof 2019 LA database but created partially spoofed audio from the ASVspoof 2019 LA data.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 17 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Voice Anti-spoofing

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Speech

Languages archive 2025-07-28

English

Variants archive 2025-07-28

PartialSpoof

1 variant name, as the archive lists them.

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