Dataset · Hugging Face

SpeechAntiSpoofingBenchmarks/LibriSeVoc

Name: LibriSeVoc
Creator: SpeechAntiSpoofingBenchmarks
License: cc-by-sa-4.0
Keywords: task_categories:audio-classification, language:en, license:cc-by-sa-4.0, size_categories:10K<n<100K, format:parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2304.13085, region:us, anti-spoofing, audio-deepfake-detection

LibriSeVoc (test split) Benchmark-ready packaging of the test split of LibriSeVoc — a vocoder re-synthesis corpus for synthetic / deepfake voice detection. Overview LibriSeVoc (Sun et al., arXiv:2304.13085) takes genuine LibriTTS utterances and re-synthesises each one with six neural vocoders — DiffWave, MelGAN, Parallel WaveGAN, WaveGrad, WaveNet, and WaveRNN. The detection task is binary: bonafide (the genuine LibriTTS audio) vs. spoof (a vocoded re-synthesis).… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/LibriSeVoc.

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Author / organization	SpeechAntiSpoofingBenchmarks
License (as declared)	cc-by-sa-4.0
Downloads	1.3K (as reported by Hugging Face)
Likes	0
Created	7 June 2026
Last updated at source	27 June 2026

anti-spoofingaudio-deepfake-detectionspeechbenchmarkarena-ready

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