Common Voice Scripted Speech 23.0 - Bulu
Locale: bum
Size: 200.83 MB
Task: ASR
Format: MP3
License: CC-0
[Bulu] — Bulu (bum)
This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Bulu (bum). The dataset contains 11 hours of recorded
speech (11 hours validated) from 22 speakers.
Language
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.
Variants
The main contributors to this dataset have identified two main varieties of Bulu: one spoken around Ebolowa and the other around Sangmelima.
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.
| Gender | Pertentage |
|---|---|
| Undefined | 100.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 100.0% |
Writing system
The collection of sentence prompts used for read speech in this dataset uses the Protestant Missionary's alphabet.
Sample
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.
Community links
Contribute
https://commonvoice.mozilla.org/bum/
Acknowledgements
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
Datasheet authors
Emmanuel Ngue Um ngueum@gmail.com, Marie Renée Atangana mariereneeatangana@yahoo.fr, Frankie Otoulou otouloufrankie@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
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)
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.