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Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 200.81 MB
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A collection of scripted spoken phrases in Bulu.
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
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.
bum)This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Bulu (bum). The dataset contains 7957 clips representing 10.29 hours of recorded
speech (10.02 hours validated) from 22 speakers.
Bulu is identified as a language by Ethnologue and a dialect by Breton and Bikia Fohtung (1991) and Binam Bikoi (2012). Whatever be the case, Bulu is indigenous to a population presently inhabiting the Ntem, Dja-and-Lobo, and Ocean Divisions in the South Region of Cameroon.
The main contributors to this dataset have identified two main varieties of Bulu: one spoken around Ebolowa and the other around Sangmelima.
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 | Percentage |
|---|---|
| Undefined | 100.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 100.0% |
The collection of sentence prompts used for read speech in this dataset uses the Protestant Missionary's alphabet.
There follows a randomly selected sample of five sentences from the corpus.
Ane be nga mane di bian ayok
Ajô te, avale môt éte d’aye bo mfuban môs mwuam.
Éyon éte môt a nga ke lu'u minga a nga wô'ôlun
Môt a di fôn a nga bé
Sikolo ane fi mfa’a ya nyeman
Automatic random samples
Mi tabe fo'o si.
Bôt b'ali'i va lika'ane.
A jo té bi nga jen minnôm bifia ya nkobo té.
Nane a té ke tos ngon.
Môt a di fôn a nga bé.
| Domain | Count |
|---|---|
| Undefined | 7957 |
https://commonvoice.mozilla.org/bum/
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 Bulu, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Dr Marie Renée Atangana
Frankie Otoulou
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, Marie Renée Atangana mariereneeatangana@yahoo.fr, Frankie Otoulou otouloufrankie@gmail.com
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).
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.