Dataset · Hugging Face

SpeechAntiSpoofingBenchmarks/DECRO

Name: DECRO
Creator: SpeechAntiSpoofingBenchmarks
License: cc-by-4.0
Keywords: task_categories:audio-classification, language:en, language:zh, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, anti-spoofing, audio-deepfake-detection

DECRO (eval) Benchmark-ready packaging of the evaluation partition of the DECRO (DEepfake CROss-lingual) dataset — a cross-lingual (English + Chinese) speech anti-spoofing / synthetic-voice detection benchmark from Transferring Audio Deepfake Detection Capability across Languages (TheWebConf / WWW 2023). Overview DECRO pairs an English and a Chinese subset whose spoofed speech is generated with the same synthesis algorithms, so it isolates the effect of language… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/DECRO.

View on Hugging FaceReport an issue

Author / organization	SpeechAntiSpoofingBenchmarks
License (as declared)	cc-by-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	0
Created	8 June 2026
Last updated at source	27 June 2026

anti-spoofingaudio-deepfake-detectionspeechbenchmarkarena-ready

Embed this entry

<iframe src="https://silytics.si/embed/item/69b4924a-8d7f-485d-a684-dae0963ff7b6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from SpeechAntiSpoofingBenchmarks

SpeechAntiSpoofingBenchmarks/ASVspoof2021_DFDataset
SpeechAntiSpoofingBenchmarks/ASVspoof5Dataset
SpeechAntiSpoofingBenchmarks/ASVspoof2021_LADataset
SpeechAntiSpoofingBenchmarks/ASVspoof2019_LADataset
SpeechAntiSpoofingBenchmarks/ODSSDataset
SpeechAntiSpoofingBenchmarks/CVoiceFake_smallDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.