Common Voice Scripted Speech 24.0 - Medumba
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 264.15 MB
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Description
A collection of scripted spoken phrases in Medumba.
Specifics
Considerations
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
Processes
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.
Metadata
[Medumba] — Medumba (byv)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Medumba (byv). The dataset contains 7719 clips representing 13.24 hours of recorded
speech (13.24 hours validated) from 96 speakers.
Language
Medumba (Mə̀dʉ̂mbɑ̀) is a Grassfield Bantu language spoken in the Nde Division, West Region in 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.
| Gender | Percentage |
|---|---|
| Undefined | 94.0% |
| Female Feminine | 6.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 81.0% |
| Twenties | 6.0% |
| Thirties | 12.0% |
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.
Nzwi lo’ ngefet njab lon nke ngo’o
Ndə̂mbə́ jú zə̄ bū jʉ̂ nyɔ̌ŋ lí’ bɑ̌k gə̀ mə́ b
Mə ghʉ̌ nshun ncʉ’ Mə ghʉ̌ tà’ nshunə
Bí lɛ̌n jú zə̄ bā rǎfǎ’ ngômnà’ nɑ́’ brʉ̂ndə́ gí
Á mbètte mènzwi zə̄ à yə̂ nùm cɑ́’ ndù
Automatic random samples
Nèn yi ntàne nswène njun nzwe i mba nzwe bon tse yi.
Màa nèn ndù’ nà.
Mɛ́n cwɛ̌d krwâ' ndɛ̂mbə̄ á cwɛ̌d tsjɑ́ŋə́ zə̄ tâp bû mâp.
Ù ngə́ kwɑ̂də̂ gə̀brò nûm bə̄ zə bū rə̂ mùní mbá ù à' rə̌ mòní á ndə̂gə́.
Nse’ ntshundà mbètte nzwi ndù :
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 7719 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/byv/
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 Medumba, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Jeff Sterline Ngami Kamagoua
Minette Yimga Mbamen
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 Ngué Um ngueum@gmail.com, Jeff Sterline Ngami Kamagoua jeffsterlingngami@gmail.com, Minette Yimga Mbamen minettembamen@yahoo.fr
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.