asvspoof
Datasets
All datasets matching “asvspoof”ASVspoof2021_DF
ASVspoof 2021 DF
Benchmark-ready packaging of the DeepFake (DF) evaluation partition from ASVspoof 2021 for speech anti-spoofing and synthetic / deepfake voice detection.
Overview
This dataset contains the DF evaluation subset of the ASVspoof 2021 challenge. The task is binary classification: bonafide (genuine human speech) vs. spoof (synthetic, converted, or otherwise manipulated speech). The original dataset is available at… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/ASVspoof2021_DF.ASVspoof5
ASVspoof 5 (track 1, eval)
Benchmark-ready packaging of the Track 1 (spoofing / deepfake detection) evaluation partition of the ASVspoof 5 challenge, for speech anti-spoofing and synthetic / deepfake voice detection.
Overview
Track 1 is binary classification: bonafide (genuine human speech) vs. spoof (synthetic / converted speech). This packaging contains the full track_1 evaluation set. The original challenge is at https://www.asvspoof.org/.
License &… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/ASVspoof5.asvspoof5This is the Huggingface repository for the ASVspoof 5 database. ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks, and the design of detection solutions. Compared to previous challenges, the ASVspoof~5 database is built from crowdsourced data collected from around 2,000 speakers in diverse acoustic conditions. More than 20 attacks, also crowdsourced, are generated and optionally tested using surrogate detection models… See the full description on the dataset page: https://huggingface.co/datasets/jungjee/asvspoof5.ASVspoof2019_LA
ASVspoof 2019 LA
Benchmark-ready packaging of the Logical Access (LA) evaluation partition from ASVspoof 2019 for speech anti-spoofing and synthetic voice detection.
Overview
This dataset contains the LA evaluation subset of the ASVspoof 2019 challenge. The task is binary classification: bonafide (genuine human speech) vs. spoof (synthetic or converted speech). The original dataset is available at https://www.asvspoof.org/index2019.html.
License &… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/ASVspoof2019_LA.ASVspoof_2019_LAASVspoof2021_LA
ASVspoof 2021 LA
Benchmark-ready packaging of the Logical Access (LA) evaluation partition from ASVspoof 2021 for speech anti-spoofing and synthetic / deepfake voice detection.
Overview
This dataset contains the LA evaluation subset of the ASVspoof 2021 challenge. The task is binary classification: bonafide (genuine human speech) vs. spoof (synthetic, converted, or replayed speech). The LA partition adds realistic telephony codec / transmission conditions on top… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/ASVspoof2021_LA.