Common Voice Scripted Speech 24.0 - Mokpwe
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 188.52 MB
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Description
A collection of scripted spoken phrases in Mokpwe.
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
[Mokpwe] — Mokpwe (bri)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Mokpwe (bri). The dataset contains 9194 clips representing 11.09 hours of recorded
speech (10.66 hours validated) from 15 speakers.
Language
Mokpwe (also known as Bakweri) is a coastal Bantu language mainly spoken in the Fako Division, South-West Region in Cameroon.
Variants
Contributors to this dataset reported two Mokpwe variants: Upper-Mokpwe, spoken in Buea, and Lower-Mokpwe, spoken in Bimbia. The sentence prompts used for read speech in the compilation of this dataset represent the Upper Mokpwe variety.
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 | 87.0% |
| Female Feminine | 13.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 86.0% |
| Twenties | 1.0% |
| Thirties | 13.0% |
Text corpus
Writing system
The collection of sentence prompts used for read speech in the compilation of this dataset is phonetic based.
Symbol table
Sample
There follows a randomly selected sample of five sentences from the corpus.
Èmbèrzà èmɛ̀ndɛ́ lìwòtéyá éèyé nǎtɛ̀ɛ̀ nǒ mòrzô
Hwɛ́nɔ̀ní hwékpéélì ó ndáwò
Ò rzênjé wélùwà
Rzɛ̀kɛ́tɛ́ ìnɔ̀ní íŋɡî.
Lǐwɔ̀ŋgɔ́ lǔŋwɛ̀lɛ̀ èmbówà
Automatic random samples
Méòndó émá métánà.
Òrzìɲɛ́ hwá rzâ nà lìmùŋɡà.
Kíŋgɛ̀ tɛ́ nà kíŋgɛ̀.
Ŋɡbâ í tâ.
 lɔ́ ú kítūm chès.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 9194 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/bri
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 Mokpwe, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Gratien Gualbert Atindogbe
Noela Mesanga Lambe
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, Gratien Gualbert Atindogbe atindogbe.gratien@ubuea.cm, Noela Mesanga Lambe noelalambe@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.