| --- |
| license: cc-by-4.0 |
| language: |
| - es |
| pretty_name: HABLA |
| 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 |
| arxiv: |
| - "10.21437/Interspeech.2023-2272" |
| --- |
| |
| # HABLA |
|
|
| Benchmark-ready packaging of **HABLA** — *HABLA: A Dataset of Latin American Spanish Accents for Voice Anti-spoofing* (Tamayo Flórez, Manrique & Pereira Nunes, Interspeech 2023). The first voice anti-spoofing collection in **Spanish**, covering five Latin-American accents (Argentina, Chile, Colombia, Peru, Venezuela). |
|
|
| ## Overview |
|
|
| The task is binary classification: **bonafide** (genuine human Spanish speech) vs. **spoof** (synthetic / converted speech). Bonafide audio is real Latin-American Spanish; spoof audio is produced by several generators: |
|
|
| - **CycleGAN**, **Diff**(usion), **StarGAN** — voice-conversion across accent pairs (e.g. `Argentina-Chile`). |
| - **TTS** — text-to-speech. |
| - **TTS-Diff**, **TTS-StarGAN** — TTS output further passed through a Diff / StarGAN voice-conversion stage (the `TTS-VC` cascade). |
|
|
| ## License & redistribution |
|
|
| Redistributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license — the upstream HABLA license. See `LICENSE.txt`. CC BY 4.0 permits redistribution and derivative works with attribution. Labels and the evaluation protocol are unmodified; audio is shipped as the **verbatim source 16 kHz mono PCM WAV** (no re-encode — a whole-set decode probe confirmed every clip is already 16 kHz mono). |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `path` | `string` | source-relative path of the clip, unique | |
| | `audio` | `Audio(16000)` | 16 kHz mono | |
| | `label` | `ClassLabel` | `"bonafide"` (0) / `"spoof"` (1) | |
| | `notes` | `string` | JSON: `utterance_id`, `speaker_id`, `system`, `source_subdir` | |
|
|
| `utterance_id` is the on-disk filename stem (globally unique across all six dirs). `system` is the spoof generator (`CycleGAN` / `Diff` / `StarGAN` / `TTS` / `TTS-Diff` / `TTS-StarGAN`) or `real` for bonafide. |
|
|
| `notes` example: |
| ```json |
| {"utterance_id": "CycleGAN-arf_00295_00101634363-arf_02121_002402", "speaker_id": "arf_00295", "system": "CycleGAN", "source_subdir": "CycleGAN/Argentina-Argentina/arf_00295-arf_02121"} |
| ``` |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("SpeechAntiSpoofingBenchmarks/HABLA", split="test") |
| print(ds[0]) |
| ``` |
|
|
| ## Stats |
|
|
| | Stat | Value | |
| |------|-------| |
| | Total trials | 80,816 | |
| | Bonafide | 22,816 | |
| | Spoof | 58,000 | |
| | CycleGAN | 16,000 | |
| | Diff | 16,000 | |
| | StarGAN | 16,000 | |
| | TTS | 5,000 | |
| | TTS-Diff | 2,500 | |
| | TTS-StarGAN | 2,500 | |
|
|
| ## Source provenance |
|
|
| - Paper: https://www.isca-archive.org/interspeech_2023/tamayoflorez23_interspeech.html (DOI `10.21437/Interspeech.2023-2272`) |
| - Protocol: `protocol.txt` (format: `SPEAKER_ID AUDIO_FILE_ID - SYSTEM KEY`) |
| - Accents: Argentina, Chile, Colombia, Peru, Venezuela. Conversion systems operate across source→target accent pairs. |
|
|
| ## Evaluation |
|
|
| For evaluation instructions and submission format, see [`submissions/README.md`](submissions/README.md). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{tamayoflorez23_interspeech, |
| title = {{HABLA: A Dataset of Latin American Spanish Accents for Voice Anti-spoofing}}, |
| author = {Pablo Andrés {Tamayo Flórez} and Rubén Manrique and Bernardo {Pereira Nunes}}, |
| year = {2023}, |
| booktitle = {{Interspeech 2023}}, |
| pages = {1963--1967}, |
| doi = {10.21437/Interspeech.2023-2272}, |
| issn = {2958-1796}, |
| } |
| ``` |
|
|
| ## Maintainer |
|
|
| Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks). |
| - Email: ~~k.n.borodin@mtuci.ru~~ (deprecated — use kborodin.research@gmail.com) |
| - Telegram: [@korallll_ai](https://t.me/korallll_ai) |
|
|
