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ASVspoof 2019 LA Database
The ASVspoof 2019 LA dataset is comprised of bonafide and spoofed utterances generated using totally 19 different spoofing algorithms, including TTS, VC, and replay attacks. -
PartialSpoof Database
The PartialSpoof database is a speech database designed for the PartialSpoof scenario, where synthesized or transformed speech segments are embedded into a bona fide utterance. -
ASVspoof 2021 LA
The ASVspoof 2021 LA dataset is used for testing the generalization capabilities of our model. -
ASVspoof 2019 LA-Degraded
The ASVspoof 2019 LA-Degraded dataset is constructed to test the performance of our model under different settings of bit-rate, Loss, DTX, and µ/a − law parameters for various... -
ASVspoof 2019 LA
The ASVspoof 2019 LA dataset encompasses three types of speaker representation: d-vector, one-hot embedding, and VAE.