Common Voice Scripted Speech 24.0 - Adamawa Fulfulde

License icon

License:

CC0-1.0

Shield icon

Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 250.92 MB


Share

Description

A collection of scripted spoken phrases in Adamawa Fulfulde.

Considerations

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

[Adamawa Fulfulde] — Adamawa Fulfulde (fub)

This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset for Adamawa Fulfulde (fub). The dataset contains 7870 clips representing 13.37 hours of recorded speech (13.05 hours validated) from 18 speakers.

Language

Adamawa Fulfulde (also referred to simply as Fulfulde) is one of several varieties of Fulfulde, or Puular, or Fula spoken troughout the Sahel region in Africa. Adamawa Fulfulde is native to a population located in the Adamawa, North and Far-North Regions of Cameroon.

Variants

Speakers of Adamawa Fulfulde, including the contributors to this dataset, distinguish three main sub-varieties spoken in three main settlement areas: Maroua, Garoua, and Ngaoundéré. The variety used in the sentence prompts is Ngaoundéré.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, percentage refers to the number of clips annotated with this gender.

GenderPercentage
Undefined99.0%
Female Feminine1.0%

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Age BandPercentage
Undefined98.0%
Twenties1.0%
Teens1.0%

Text corpus

Writing system

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

Symbol table

Sample

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

  1. Jam, o ɗon nyaama, mo tawi layaaji ɓiyiiko, jam mo annditi

  2. Huunyaare yini dilli yehi laartoy saare mum bee ɓikkon mum warti ɗon yino

  3. Nde fowru heɓi daama, fiɗaande yaare go feewti

  4. Ngeelooba wii mo: mi woodaa, sey a yaha a munya

  5. O wiʼi mo mari ngaari duuɓi nayi ɓaleeri kurum wadda

Automatic random samples

To gorko oo, o tawi mi fottani mo, o wiʼa woodi haaje am.
O wiʼi ɓe ni yoo , jam min kam mi mofti mon.
Ɓe mbiʼi mo ko waddi ɓe.
Adda am mari ɓikkon njowon.
Nden fowru wari taari, taari, heɓaay mbeewa.

Sources

Text domains

DomainCount
Undefined7870

Processing

Recommended post-processing

Get involved!

Community links

Discussions

Contribute

https://commonvoice.mozilla.org/fub

Acknowledgements

The compilation of this dataset occured during data camp organized in Yaoundé (Cameroon) in September-October 2024. One main contributor was involved in the localization of the MCV interface for Adamawa Fulfulde, gathering of the sentence prompts, reading sentence prompts, and validating recordings. His name :

  • Missa Habiba Bouloumegne

The organization of the data camp was conducted by a dynamic whose dedication is herewith acknowledged :

  • Eliette Emilie-Caroline Ngo Tjomb Assembe (Project Lead)

  • Dr. Florus Landry Dibenge

  • Blaise Mathieu Banoum Manguele

  • Blaise Abo Djoulde

  • Mathilde Nyambe A.

  • Brice Martial Atangana Eloundou

  • Jeff Sterling Ngami Kamagoua

  • José Mpuda Avom

  • Zacharie Nyobe

  • Emmanuel Giovanni Eloundou Eyenga

  • André Pascal Likwai

Datasheet authors

Emmanuel Ngue Um ngueum@gmail.com, Missa Habiba Bouloumegne hyideboulou@gmail.com

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.