Common Voice Scripted Speech 25.0 - Bafut

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 219.40 MB


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Description

A collection of read speech recordings in Bafut (bfd).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

Restrictions/Special Constraints

None provided.

Forbidden Usage

It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.

Processes

Intended Use

This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.

Metadata

bfd — Bafut (bfd)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Bafut [bfd - bfd]. The dataset contains 7178 clips representing 11.18 hours of recorded speech (10.05 hours validated) from 36 speakers, recorded from a text corpus of 766 sentences.

Language

Bafut is a Grassfield-Bantu language that belongs to the Ring group, alongside Pinyin, Mankon, Nkwen, Awing, Bambili, Menchum, Babanki, Veŋo, Bamunka, and Wushi. It is spoken in the Mezam and Menchum divisions of the Northwest Region of Cameroon.

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

CodeGenderClipsSpeakers
male_masculineMale, masculine--
female_feminineFemale, feminine92 (1.3%)2 (5.6%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified7,086 (98.7%)34 (94.4%)

Gender declared: 92 of 7,178 clips (1.3%), 2 of 36 speakers (5.6%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

CodeAgeClipsSpeakers
teensTeens5 (0.1%)1 (2.8%)
twentiesTwenties1 (0.0%)1 (2.8%)
thirtiesThirties87 (1.2%)1 (2.8%)
fourtiesFourties--
fiftiesFifties--
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified7,085 (98.7%)33 (91.7%)

Age declared: 93 of 7,178 clips (1.3%), 3 of 36 speakers (8.3%)

Data splits for modelling

Clip buckets

BucketClips
Validated6,454 (89.9%)
Invalidated51 (0.7%)
Other673 (9.4%)

Training splits

SplitClips
Train260 (4.0%)
Dev252 (3.9%)
Test254 (3.9%)

Training split coverage: 766 of 6,454 validated clips (11.9%)

The dataset contains 6454 validated, 51 invalidated, and 673 unresolved clips. The average clip duration is 5.609 seconds.

Text corpus

Validated sentences: 766

CategoryCount
Unvalidated sentences-
Pending sentences-
Rejected sentences-
Reported sentences-

The corpus contains 766 sentences: 766 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.

Writing system

The collection of sentence prompts provided by the language representatives aligns with the General Alphabet of Cameroonian Languages

Sample

There follows a randomly selected sample of five sentences from the corpus.

  1. Tswentə mɨlùʼù mya mfa ndɔŋ ya ta mə̀ ghɛɛ.

  2. A tɔŋ nɨbàŋə̀.

  3. Mə kɨ sɨ taŋtə ma mùu ajàŋ njɨŋkə aa jɨ̀ŋkə aa ɛ?

  4. Bìꞌinə̀ yə mə taa aɨ lɛ ntswe nɨ àtàŋəntɨɨ aà.

  5. Mughurə mɨ mmɛ a ndâ, kaa tsiʼì àbâ.

Sources

SourceSentences
Own Submission766 (100.0%)

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

  • client_id - hashed UUID of a given user

  • path - relative path of the audio file

  • text - supposed transcription of the audio

  • up_votes - number of people who said audio matches the text

  • down_votes - number of people who said audio does not match text

  • age - age of the speaker1

  • gender - gender of the speaker1

  • accents - accents of the speaker1

  • variant - variant of the language1

  • segment - if sentence belongs to a custom dataset segment, it will be listed here

  • prompt_upvotes - number of upvotes the sentence prompt received

  • prompt_reports - number of reports the sentence prompt received

  • is_edited - whether the clip's transcription has been edited

validated_sentences.tsv

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • is_used - whether the sentence is still in circulation for recording

  • clips_count - number of clips recorded for this sentence

unvalidated_sentences.tsv

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • up_votes - number of upvotes the sentence received

  • down_votes - number of downvotes the sentence received

  • status - current status of the sentence (pending or rejected)

Get involved

Community links

Discussions

Contribute

https://commonvoice.mozilla.org/bfd

Acknowledgements

Datasheet authors

Emmanuel Ngue Um , Ambe Melvis Lemanka , Ellis Taku Angwa , John Che Ambe

Citation guidelines

Ngué Um E, Ngo Tjomb EEC, Dibengue FL, Banum Manguele BM, Abo Djoulde B, Nyambe MA, Atangana Eloundou BM, Ngami Kamagoua JS, Mpouda Avom J, Nyobe Z, Eloundou Eyenga EG, Likwai AP (2025) Speech Technologies Datasets for African Under-Served Languages. Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages, edited by Lachler J, Agyapong G, Arppe A, Moeller S, Chaudhary A, Rijhwani S, Rosenblum D. URL Association for Computational Linguistics (ACL).

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.

Footnotes

  1. For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. 2 3 4