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Datasets:
mueller91
/
WASP

Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
English
German
French
Size:
1K - 10K
ArXiv:
Tags:
audio
deepfake-detection
anti-spoofing
watermarking
provenance
Libraries:
Datasets
License:
Dataset card Data Studio Files
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  2. README.md +93 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.avro filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - audio-classification
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - zh
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+ tags:
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+ - audio
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+ - deepfake-detection
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+ - anti-spoofing
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+ - watermarking
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+ - provenance
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+ pretty_name: WASP
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+ ---
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+
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+ # WASP: Watermark-Shortcut Paired Speech Corpus
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+
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+ WASP is a paired speech corpus for studying the *watermark shortcut* in audio
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+ deepfake detection: the spurious "watermark ⟹ fake" feature a
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+ detector picks up when synthetic speech is marked by default and human speech is
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+ not. Every utterance is provided clean and under each watermark, all applied
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+ **post hoc**, so the clean and watermarked versions of an utterance differ only
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+ in the mark. Any change in a detector's score between two members of a pair is
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+ therefore attributable to the watermark alone, with no confound from the
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+ generator.
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+
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+ This is the released instrument for the E2 (black-box) study in the paper
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+ *The Watermark Shortcut: How Provenance Marks Sabotage Deepfake Detection*.
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+
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+ ## Structure
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+
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+ ```
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+ {label}/{lang}/{source}/{model}/{watermark}/{utterance}.wav
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+ e.g. spoof/en/mailabs/chatterbox/perth/ozma_of_oz_10_f000019.wav
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+ spoof/en/mailabs/chatterbox/without/ozma_of_oz_10_f000019.wav # same base, no mark
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+ ```
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+
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+ - **label**: `spoof` (TTS output) or `bonafide` (genuine human speech).
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+ - **lang**: `en`, `de`, `fr`, `zh`.
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+ - **source**: `mailabs` (M-AILABS; en/de/fr) or `aishell` (AISHELL-3; zh). For
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+ `bonafide`, the model level is the literal `bonafide`.
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+ - **model**: the TTS system (spoof only); see below.
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+ - **watermark**: `without` (clean base), `perth`, `wavmark`, `audioseal`,
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+ `silentcipher`; `bonafide` additionally carries `all-WMs` (all marks stacked).
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+
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+ Each base utterance also ships a `.transcript` (text) and a `.auxfile`
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+ (reference to the source recording used for synthesis or as the genuine clip).
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+
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+ ## Synthesizers (spoof)
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+
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+ | Model | Default watermark |
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+ |---|---|
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+ | Chatterbox | PerTh |
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+ | Chatterbox-Turbo | PerTh |
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+ | DramaBox | PerTh |
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+ | Kyutai | none |
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+ | Orpheus | none (SilentCipher opt-in) |
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+ | Sesame CSM | SilentCipher |
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+
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+ The built-in watermark of each model is disabled during generation to obtain a
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+ clean base; all marks in the corpus are then applied post hoc. English carries
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+ all six systems; German, French, and Mandarin are Chatterbox-led.
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+
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+ ## Watermark schemes
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+
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+ PerTh (Resemble AI), WavMark, AudioSeal (Meta), and SilentCipher (Sony), plus an
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+ `all-WMs` stack for the bona-fide split. All operate on a finished waveform.
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+
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+ ## Size
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+
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+ About 7,000 clips derived from roughly 1,400 base utterances (~1,000 synthetic,
75
+ 400 genuine), across four languages.
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+
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+ ## Intended use and license
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+
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+ Research on deepfake detection, watermark robustness, and shortcut learning.
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+ Source audio derives from M-AILABS and AISHELL-3; downstream use is subject to
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+ those corpora's terms in addition to the synthesizers' and watermark schemes'
82
+ licenses. Use for building or evaluating systems intended to deceive or to
83
+ falsely accuse is out of scope.
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+
85
+ ## Citation
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+
87
+ ```bibtex
88
+ @inproceedings{mueller2026watermarkshortcut,
89
+ title = {The Watermark Shortcut: How Provenance Marks Sabotage Deepfake Detection},
90
+ author = {M\"uller, Nicolas M.},
91
+ year = {2026}
92
+ }
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+ ```
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