Common Voice Scripted Speech 24.0 - Bamvele

[Bamvele] — Bamvele (beb)

This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset for Bamvele (beb). The dataset contains 7481 clips representing 11.34 hours of recorded speech (10.22 hours validated) from 33 speakers.

Language

Bebele also known as Eki or Bamvele is an endangered indigenous language of Cameroon which belongs to the Niger-Congo language family, according to Ethnologue online. Breton and Bikia Fohtung (1991) identify Bebele as a dialect of Beti-Fang language. Whether a language or a dialect, Bebele is indigenous to a population located in the Upper-Sanaga Division in the Center Region of Cameroon.

Variants

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.

Age

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

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. Tà àboŋ īdək ípɛ bə́sòbog bà àvôŋhoŋ

2. À kwì midəm məs ǹdə̀ŋə̀ bən

3. Bɛ̂ na mùt tà tâ bə̀i

4. Ǹgùngùl nti yɔ ki yə̀ ǐ twi nə̀ man

5. Mənə kàl àyə̀l nà ābi kū

Automatic random samples

M̀bùs mə mì niŋ kɛ.
Ìndə mə ìbyɛ̂ bɔ̀n nə nyə̀.
Bhaŋ bənə a nzal zìnə gbə̀gbə̀lə̀.
Tə nə̀ ìndandan yɔŋ ìpɔk.
Mâkal wə̀s àtâ bis nə bə̀s.

Sources

Text domains

Processing

Recommended post-processing

Get involved!

Community links

• Common Voice translators on Pontoon

Discussions

Contribute

https://commonvoice.mozilla.org/beb/

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 Bamvele, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :

• Gisèle Magangtand Moandi épse Nkou Abina

• Galbert Bissogo Ndong

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, Gisèle Magangtand Moandi épse Nkou Abina Gisele.nkou18@gmail.com, Galbert Bissogo Ndong <>

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.