| --- |
| license: cc-by-sa-4.0 |
| language: [en, de, es] |
| pretty_name: "ODSS — An Open Dataset of Synthetic Speech" |
| task_categories: [audio-classification] |
| size_categories: [10K<n<100K] |
| configs: |
| - config_name: default |
| data_files: |
| - {split: test, path: "data/test-*.parquet"} |
| tags: |
| - anti-spoofing |
| - audio-deepfake-detection |
| - speech |
| - benchmark |
| - arena-ready |
| - synthetic-speech |
| - multilingual |
| arxiv: ["10.5281/zenodo.8370669"] |
| --- |
| |
| # ODSS — An Open Dataset of Synthetic Speech |
|
|
| Benchmark-ready packaging of **ODSS** (*An Open Dataset of Synthetic Speech*), a |
| multilingual (English / German / Spanish), multispeaker dataset for **synthetic |
| speech detection**: each natural utterance is paired with TTS re-synthesis of the |
| same text. |
|
|
| ## Overview |
|
|
| Binary classification: **bonafide** (natural human recordings) vs. **spoof** |
| (text-to-speech). The synthetic side is generated by two TTS systems — the |
| end-to-end **VITS** architecture and a two-step **FastPitch + HiFi-GAN** pipeline — |
| over 156 voices spanning three languages with balanced gender. Label is the |
| top-level generator directory: `natural/` → bonafide, `vits/` and |
| `fastpitch-hifigan/` → spoof. |
|
|
| ### Source corpora — VCTK-derived and others |
|
|
| ODSS draws its speech from four public corpora (this is a **VCTK-based** dataset |
| among others): |
|
|
| | Corpus | Language | Role | |
| |--------|----------|------| |
| | **VCTK** | English | English **VITS** voices (`vits/vctk`) | |
| | **Hi-Fi TTS** | English | natural + VITS + FastPitch | |
| | **HUI-audio-corpus-german** | German | natural + VITS + FastPitch | |
| | **OpenSLR Spanish** | Spanish | natural + VITS + FastPitch | |
|
|
| Note: the `vits/vctk` synthetic clips (English) are present on the **spoof** side; |
| their natural VCTK counterparts are distributed separately by the VCTK project and |
| are not part of this release. |
|
|
| ## License & redistribution |
|
|
| Released under the **Creative Commons Attribution-ShareAlike 4.0 International |
| (CC BY-SA 4.0)** license — the license shipped in the upstream ODSS `LICENSE` file. |
| Redistribution and adaptation are permitted with attribution and ShareAlike (this |
| packaging is itself CC BY-SA 4.0). Audio is the original 16 kHz mono WAV, embedded |
| bit-exactly (no re-encode — a full decode probe of all 26,954 clips passed cleanly). |
| See `LICENSE.txt`. Attribute the ODSS authors and the four source corpora. |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `path` | `string` | source-relative path, e.g. `vits/vctk/p293/p293_168.wav`, unique | |
| | `audio` | `Audio(16000)` | 16 kHz mono WAV | |
| | `label` | `ClassLabel` | `"bonafide"` (0) / `"spoof"` (1) | |
| | `notes` | `string` | JSON: `utterance_id`, `generator`, `source_corpus`, `speaker`, `language`, `attack` | |
|
|
| `notes` example: |
| ```json |
| {"utterance_id": "vits__vctk__p293__p293_168", "generator": "vits", "source_corpus": "vctk", "speaker": "p293", "language": "en", "attack": "vits"} |
| ``` |
|
|
| `utterance_id` is the full source-relative path with `/` → `__` — the bare stem |
| repeats across the three generators (the same texts are synthesized), so the |
| generator prefix is what makes ids unique. |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("SpeechAntiSpoofingBenchmarks/ODSS", split="test") |
| print(ds[0]) |
| ``` |
|
|
| ## Stats |
|
|
| | Stat | Value | |
| |------|-------| |
| | Total trials | 26,954 | |
| | Bonafide (natural) | 7,961 | |
| | Spoof (TTS) | 18,993 | |
| | — VITS | 11,032 | |
| | — FastPitch + HiFi-GAN | 7,961 | |
| | Languages | en (14,405), de (5,778), es (6,771) | |
| | Source corpora | VCTK, Hi-Fi TTS, HUI-de, OpenSLR-ES | |
|
|
| ## Source provenance |
|
|
| - Paper: *An Open Dataset of Synthetic Speech*, IEEE, 2023. |
| https://ieeexplore.ieee.org/document/10374863/ |
| - Dataset: https://zenodo.org/records/8370669 (DOI 10.5281/zenodo.8370669) |
| - Project: vera.ai / Fraunhofer IDMT. |
|
|
| ## Evaluation |
|
|
| For evaluation instructions and submission format, see [`submissions/README.md`](submissions/README.md). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{odss2023, |
| title = {{An Open Dataset of Synthetic Speech}}, |
| booktitle = {Proc. IEEE Workshop}, |
| year = {2023}, |
| doi = {10.5281/zenodo.8370669}, |
| note = {ODSS, https://ieeexplore.ieee.org/document/10374863/}, |
| } |
| ``` |
|
|
| ## Maintainer |
|
|
| Contact: k.n.borodin@mtuci.ru |
|
|
