PartialSpoof
Emerging5papers using it
2022first seen
The 'PartialSpoof' dataset is used to evaluate the detection of deepfake speech, specifically focusing on the challenges posed by partially edited audio generated through neural speech editing techniques.
Papers using PartialSpoof (5)
- Split and Conquer Partial Deepfake SpeechFrame-level Temporal Difference Learning for Partial Deepfake Speech DetectionPartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech EditingNes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofingThe PartialSpoof Database and Countermeasures for the Detection of Short
Fake Speech Segments Embedded in an Utterance