Common Voice Scripted Speech 24.0 - Ewondo

[Ewondo] — Ewondo (ewo)

This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset for Ewondo (ewo). The dataset contains 8134 clips representing 19.8 hours of recorded speech (18.43 hours validated) from 31 speakers.

Language

Ewondo is a Narrow Bantu language which is indigenous to a population mainly located in the Centre Region of Cameroon, with pockets of settlements in the South, and East Regions. Having been one among the earlier developped languages within the so-called Beti-Fang group - with comparable earlier development to be found in the Bulu language of the same Beti-Fang group, Ewondo is vehicular to populations in the South and East Regions of Cameroon, and has also developed into a creole known as Mongo Ewondo;

Variants

The contributors to this dataset have listed the following Ewondo varieties: Kolo, Ewondo (also known as Yewondo), and Bene.

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 writing system used for the collection of sentence prompts for read speech in this dataset is based on the General Alphabet of Cameroonian Languages, though it lacks tone marking.

Symbol table

Sample

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

1. Ntugəlɛn o ngənə təg kulɛn fol

2. Amu vala fwe bidzabi bie e mana ya yaman nnam osə

3. Və dzam da na biyalɛn bi alədə na okɔn o nə a nyɔl eyɔŋ atɔm a ngalɛd ya

4. Mimfas mi okɔn a biləmbə

5. Ndɔ hm fɔɔ Kulu a ngakǝ timbi a olam Zǝǝ

Automatic random samples

Akie za kia mbə dzam adi.
Ndɔ nnom Kub a kǝ sɔ, mis mǝ kǝǝ nye a.
Batsidi ase a suan ya, a o nə vǝ o bomoŋ nkul. Kulu nye naa: Yǝ man tada Zǝə nyaa a sɔ ya ?.
Mə nga kom wa kad nə a nə minal.
Ma yəm na wa yi kig na mɔngɔ a kui a səŋ.

Sources

Text domains

Processing

Recommended post-processing

Get involved!

Community links

• Common Voice translators on Pontoon

• Original language request on GitHub

Discussions

Contribute

https://commonvoice.mozilla.org/ewo/

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

• Ursule Sara Ngo Tjomb

• Eliette Emilie-Caroline Ngo Tjomb Assembe

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, Ursule Sara Ngo Tjomb saraursulabessalaassembe@gmail.com, Eliette Emilie-Caroline Ngo Tjomb Assembe eliette1404@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.