| --- |
| language: |
| - ab |
| - hy |
| - as |
| - av |
| - az |
| - ba |
| - be |
| - pt |
| - bg |
| - ca |
| - ce |
| - cv |
| - hr |
| - cs |
| - da |
| - nl |
| - en |
| - fa |
| - fi |
| - fr |
| - ka |
| - gu |
| - hi |
| - hu |
| - is |
| - id |
| - it |
| - ja |
| - kk |
| - ko |
| - ky |
| - lv |
| - lt |
| - lb |
| - ms |
| - ml |
| - mr |
| - ne |
| - or |
| - os |
| - pl |
| - ru |
| - sl |
| - es |
| - sw |
| - te |
| - tk |
| - uz |
| - cy |
| - aus |
| - brx |
| - arr |
| - crh |
| - myv |
| - xal |
| - krc |
| - kjh |
| - lez |
| - mni |
| - mhr |
| - mdf |
| - nog |
| - raj |
| - tt |
| - tyv |
| - sah |
| license: mit |
| task_categories: |
| - audio-classification |
| tags: |
| - antispoofing |
| - text-to-speech |
| - anti-spoofing |
| - audio-deepfake-detection |
| - speech |
| - benchmark |
| - arena-ready |
| pretty_name: LRL spoof |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: lrl_spoof.tar.gz.part_* |
| viewer: false |
| arxiv: |
| - '2603.02364' |
| --- |
| |
| # LRLspoof |
|
|
| [](https://arxiv.org/abs/2603.02364) |
| [](https://arxiv.org/abs/2603.02364) |
| [](https://opensource.org/licenses/MIT) |
|
|
| > [!IMPORTANT] |
| > **Official dataset for our INTERSPEECH 2026 paper** |
| > *"When Spoof Detectors Travel: Evaluation Across 66 Languages in the |
| > Low-Resource Language Spoofing Corpus"* ([arXiv:2603.02364](https://arxiv.org/abs/2603.02364)). |
| > This repository hosts the benchmark, evaluation protocol, and baseline |
| > submissions released with the paper. If you use LRLspoof, please |
| > [cite it](#citation). |
|
|
| Multilingual low-resource-language anti-spoofing benchmark: 1,304,455 TTS (spoof) |
| utterances across 66 languages and many TTS systems. **Spoof-only** (no bonafide). |
|
|
| The audio ships as the multi-part tarball `lrl_spoof.tar.gz.part_*`; download + |
| extract it into a `<language>/<tts_model>/<file>.wav` tree. `load_dataset` is not |
| the access path here (the dataset is the tarball). `data/labels.parquet` |
| (utterance_id + label, all spoof) exists only for arena re-verification. |
| |
| ## Arena scoring |
| Scored on **1-SRR** (`srr_complement`, lower is better) at a fixed threshold t* |
| **calibrated on DeepVoice**. A submission must include a `calibration` block with |
| the DeepVoice operating-point threshold. |
|
|
| ## utterance_id convention |
| `utterance_id` = the audio file path relative to the dataset root, e.g. |
| `english/fastpitch/line_59.wav`. A submitter's `scores.txt` keys by this id; |
| emit `<utterance_id> <score>` with higher score = more bonafide. |
|
|
| ## Citation |
|
|
| If you use LRLspoof, please cite our INTERSPEECH 2026 paper: |
|
|
| ```bibtex |
| @inproceedings{borodin2026lrlspoof, |
| title = {When Spoof Detectors Travel: Evaluation Across 66 Languages |
| in the Low-Resource Language Spoofing Corpus}, |
| author = {Borodin, Kirill and Kudryavtsev, Vasiliy and Maslov, Maxim |
| and Gorodnichev, Mikhail and Mkrtchian, Grach}, |
| booktitle = {Proc. INTERSPEECH 2026}, |
| year = {2026}, |
| note = {arXiv:2603.02364}, |
| url = {https://arxiv.org/abs/2603.02364} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| - Email: kborodin.research@gmail.com |
| - Telegram: [@korallll_ai](https://t.me/korallll_ai) |
|
|
