PartialSpoof
Introduced by Zhang et al. in An Initial Investigation for Detecting Partially Spoofed Audio
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.
Papers
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