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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmj8l8c0a007vnlov2ac5q5fe
Release Date: 12/5/2025
Format: MP3
Size: 391.86 MB
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A collection of scripted spoken phrases in Ewondo.
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.
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.
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;
The contributors to this dataset have listed the following Ewondo varieties: Kolo, Ewondo (also known as Yewondo), and Bene.
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 | 99.0% |
| Female Feminine | 1.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 94.0% |
| Twenties | 1.0% |
| Sixties | 5.0% |
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.
There follows a randomly selected sample of five sentences from the corpus.
Ntugəlɛn o ngənə təg kulɛn fol
Amu vala fwe bidzabi bie e mana ya yaman nnam osə
Və dzam da na biyalɛn bi alədə na okɔn o nə a nyɔl eyɔŋ atɔm a ngalɛd ya
Mimfas mi okɔn a biləmbə
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.
| Domain | Count |
|---|---|
| Undefined | 8134 |
https://commonvoice.mozilla.org/ewo/
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
Emmanuel Ngue Um ngueum@gmail.com, Ursule Sara Ngo Tjomb saraursulabessalaassembe@gmail.com, Eliette Emilie-Caroline Ngo Tjomb Assembe eliette1404@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.