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Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 210.40 MB
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A collection of scripted spoken phrases in Borgu Fulfulde.
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice dataset
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.
fue)This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Borgu Fulfulde (fue). The dataset contains 11 hours of recorded
speech (11 hours validated) from 9 speakers.
According to Ethnologue online, Borgu Fulfulde is a stable indigenous language of Benin. It belongs to the Niger-Congo language family and is part of the Fulah macrolanguage.
The dataset includes the following distribution of age and gender.
Self-declared gender information, percentage refers to the number of clips annotated with this gender.
| Gender | Pertentage |
|---|---|
| Undefined | 100.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 86.0% |
| Thirties | 14.0% |
The writing system used in the collection of sentence prompts is mostly based on Latin script with a few phonetic symbols such as ŋ, ɗ, and ɓ.
There follows a randomly selected sample of five sentences from the corpus.
Lambaaji ɗii ɗo laatii cuuron kon becce ɗuuɗɗe
Ne nandu nun pakoroowal gooduŋal cuuron feere feere
Debbo makko e noddee faaɗima
Siire kona e woodi Arondisema e kilomeetiri cappanɗe tati e joy
Oorooji e woodi nagge ranee
Automatic random samples
Ɓeedaneego annal waɓii balɗe naahi.
O heɓi reedu ɓaawo lebbi ɗiɗi.
Tooraaji tan o fottata e gurdam makko.
Ɓe tefi mo fonde tawaaŋal.
Ɓe janŋa ɗereeji maɓɓe bo.
https://commonvoice.mozilla.org/fue/
The compilation of this dataset occured during data camp organized in Yaoundé (Cameroon) in September-October 2024. Two main contributors were involved in the localization of the MCV interface for Bankon, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Elcana Djabiyel
Hubert Orou Goura
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
Emmanuel Ngue Um ngueum@gmail.com, Elcana Djabiyel < djabiyele@gmail.com>, Hubert Orou Goura <>
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).
The organization of the data camp that led to the compilation of this dataset was made possible by a grant by the Mozilla Foundation under the Opem Multingual Speech Fund (OMSF)
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.