| --- |
| license: cc0-1.0 |
| pretty_name: VoxCommunis Artifacts |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - phonetics |
| - multilingual |
| source_datasets: |
| - mozilla-foundation/common_voice_17_0 |
| - pacscilab/VoxCommunis |
| language_bcp47: |
| - ab |
| - am |
| - ba |
| - be |
| - bg |
| - bn |
| - ca |
| - ckb |
| - cs |
| - cv |
| - dv |
| - el |
| - eu |
| - fr |
| - gn |
| - ha |
| - hi |
| - hsb |
| - hu |
| - hy-AM |
| - id |
| - it |
| - ja |
| - ka |
| - kk |
| - kmr |
| - ko |
| - ky |
| - lij |
| - lt |
| - ml |
| - mn |
| - mr |
| - mt |
| - myv |
| - nan-tw |
| - nl |
| - pa-IN |
| - pl |
| - pt |
| - ro |
| - ru |
| - rw |
| - sk |
| - sl |
| - sq |
| - sr |
| - sv-SE |
| - sw |
| - ta |
| - th |
| - tk |
| - tr |
| - tt |
| - ug |
| - uk |
| - ur |
| - uz |
| - vi |
| - yo |
| - yue |
| - zh-CN |
| - zh-HK |
| --- |
| |
| # VoxCommunis Artifacts |
|
|
| The data artifacts used to train and evaluate the MauBERT models, introduced by |
| the [MauBERT paper](https://aclanthology.org/2026.acl-long.24/): manifests, frame-level phone alignments, per-language |
| phone inventories, and the language table. |
|
|
| Companion model repositories: |
|
|
| - [`coml/maubert-feat`](https://huggingface.co/coml/maubert-feat) — articulatory feature prediction. |
| - [`coml/maubert-phone`](https://huggingface.co/coml/maubert-phone) — IPA phone prediction. |
|
|
| ### No audio is included |
|
|
| The recordings come from [Common Voice 16.1](https://commonvoice.mozilla.org/en/datasets), which you must download |
| yourself; the phone annotations come from |
| [VoxCommunis](https://huggingface.co/datasets/pacscilab/VoxCommunis). This repository only ships the derived |
| annotations and the file lists that tie them to the Common Voice audio. |
|
|
| ### Language split |
|
|
| At the time of download (August 2024), there were 63 languages, out of which 5 languages were held-out as development |
| languages (Swahili, Tamil, Thai, Turkish and Ukrainian) and 3 languages were _unused_ due to their presence |
| in [ZRC2017](https://zerospeech.com/tasks/task_1/benchmarks_datasets/#zrc2017-and-abx17), that is the test languages |
| (French and two Chinese variants). |
|
|
| ## Files |
|
|
| - `vox_communis_languages.tsv`: The 63 VoxCommunis languages, with family, branch, duration in minutes (before and |
| after 50h capping), and a `split` column marking the 55 pre-training languages (`train`) against the 8 held-out |
| languages used as development (`dev`) or test (`test`) languages. |
| - `inventories.jsonl`: The IPA phone inventories, one language per line, `{"language": <code>, "name": <name>, |
| "phones": [...]}`, exactly as they come out of the VoxCommunis alignments (after character normalisation). |
| - `canonical_inventories.jsonl`: The same inventories, with every phone replaced by |
| its [PanPhon](https://github.com/dmort27/panphon) canonical representative |
| (`maubert.data.FeatureDecoder.segment_to_representative`) — these are the segments the models actually index. **This |
| is the file the library reads**: it is required to reduce the phone head when extracting features from the phone |
| projection layer, for **both** model variants. |
| - `full_dataset/multilingual-{train,dev,test}.{tsv,align}`: The original multilingual Common Voice splits (**not |
| used**), plus the reduced subsets used for validation and testing of the multilingual pre-training, namely |
| `multilingual-dev-1h` and `multilingual-test-2h`. |
| - `full_dataset/{train,dev,test,train-50h}/{manifests,alignments}/<code>.{tsv,align}`: The same data as above, but |
| separated by both split and language. **`train-50h` is the duration-capped split actually used during multilingual |
| pre-training.** |
| - `dev_languages/{train-10min,train-1h,train-10h,dev,test}/{manifests,alignments}/`: The extracted splits for the 5 |
| held-out development languages used for zero- and few-shot acoustic unit discovey |
| (see [task 1](https://zerospeech.com/tasks/task_1/tasks_goals/) of ZeroSpeech challenge series), with the |
| corresponding ABX `items/` for the `dev` (released but never used due to the high number of speakers) and `test` |
| sets. |
|
|
| Manifests (`.tsv`) list audio files: the first line is the corpus root, every subsequent line is |
| `<path relative to root>\t<number of samples>`. As shipped, the root is the placeholder |
| `/path/to/cv-corpus-16.1` and every path is a bare filename; see [Re-rooting the manifests](#re-rooting-the-manifests) |
| to point them at your copy of the corpus. Alignments (`.align`) carry the frame-level phone labels, one line per |
| utterance, `<utterance id>\t<space-separated phones>`. |
|
|
| ## Usage |
|
|
| Install [`maubert`](https://github.com/bootphon/maubert), then download this repository: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| data_dir = snapshot_download("coml/vox-communis-artifacts", repo_type="dataset") |
| ``` |
|
|
| ### Re-rooting the manifests |
|
|
| Every manifest ships with the placeholder root `/path/to/cv-corpus-16.1` on its first line, and its rows are bare |
| `.wav` filenames. Point the manifests at your own copy of the corpus before training: |
|
|
| ```python |
| from maubert.data.io import update_manifest |
| |
| update_manifest( |
| f"{data_dir}/full_dataset/multilingual-train.tsv", |
| "/data/cv-corpus-16.1", |
| file_extension=".mp3", |
| ) |
| ``` |
|
|
| Matching is done on the file stem, which is identical between the original `.mp3` and the converted `.wav`, so this |
| works against an unconverted Common Voice release and against any directory layout under the root you pass — only pass |
| the extension your copy actually uses. **However, beware that MauBERT models were trained on and accept `.wav` files |
| only.** |
|
|
| The helper rewrites the manifest **in place** and leaves the previous version alongside it as |
| `multilingual-train.tsv.bak`; it raises if that backup already exists, so run it once per download. It also raises if |
| any utterance in the manifest is missing from your tree. |
|
|
| Once re-rooted, the files map directly onto the `data` section of `configs/train_feat.yaml` and |
| `configs/train_phone.yaml` in the [`maubert`](https://github.com/bootphon/maubert) repository — |
| `full_dataset/train-50h/{manifests,alignments}` |
| as `train_manifest` / `train_alignment` and `full_dataset/multilingual-dev-1h.{tsv,align}` as `val_manifest` / |
| `val_alignment`, while `canonical_inventories.jsonl` fills the `downstream.inventory_file` field used by the |
| monolingual configs. |
|
|
| ### Looking up a language inventory |
|
|
| ```python |
| from maubert.data.phone_dataset import get_language_inventory |
| |
| # Either the language name or its BCP-47 code |
| inventory = get_language_inventory(f"{data_dir}/canonical_inventories.jsonl", "italian") |
| ``` |
|
|
| ## Citing |
|
|
| Please cite MauBERT alongside [Common Voice](https://commonvoice.mozilla.org/en/datasets) |
| and [VoxCommunis](https://huggingface.co/datasets/pacscilab/VoxCommunis): |
|
|
| ```bibtex |
| @inproceedings{ortiztandazo-etal-2026-maubert, |
| title = "{M}au{BERT}: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery", |
| author = "Ortiz Tandazo, Angelo and |
| Khentout, Manel and |
| Benchekroun, Youssef and |
| Hueber, Thomas and |
| Dupoux, Emmanuel", |
| editor = "Liakata, Maria and |
| Moreira, Viviane P. and |
| Zhang, Jiajun and |
| Jurgens, David", |
| booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)", |
| month = jul, |
| year = "2026", |
| address = "San Diego, California, United States", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2026.acl-long.24/", |
| doi = "10.18653/v1/2026.acl-long.24", |
| pages = "568--585", |
| ISBN = "979-8-89176-390-6", |
| } |
| ``` |
|
|
