Common Voice Scripted Speech 24.0 - Bamun
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 240.22 MB
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Description
A collection of scripted spoken phrases in Bamun.
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
Shüpamom — Bamun (bax)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Bamun (bax). The dataset contains 8686 clips representing 12.24 hours of recorded
speech (10.96 hours validated) from 13 speakers.
Language
Bamun or Shüpamom/Shupamem is a Bantu-Grassfield language spoken in the Noun Divison, West Region in Cameroon.
Variants
The Bamun language is quite homogeneous within their indigenous territory, the Noun Administrative Division. However, the Administrative Atlas of Cameroon's Languages (Breton and Bikia Fohtung, 1991) indicates a few "islands" outside the Noun Department where the Bamun language exhibits minor variations. These include Bapi in the Mifi Division in the West Region and Bamalang and Bangolan in the Mezam Division in the Northwest Region.
The variant represented in the collection of sentence prompts is that spoken in the Noun Division.
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 | 100.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 100.0% |
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.
Pe me ngbé’ mongep i pi ka’ mbu’she
Wu ka mbe pe mfèt nkwenu wu pi yùen nkùo’she mu shu
Nsua pua’ ghem nkam têtkut pkantane
Shî pua’ gha ma’si’ meshi’ tume yî nda lérewa
Me yù payù
Automatic random samples
Nyütu na nkpè mbuo yé.
Yi nké na ngét nshin-mgbom nku’ mbit mfiém-e.
Me nâ nta’ pa pèt nkammbùm.
Yâ mbi’ nkwet njap bu.
Nji téna nté ṅaṅâ.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 8686 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/bax/speak
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 Bamun, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Germaine Shuewam
Njutapmvoui Ismaïla
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, Germaine Shuewam gshuewamtoumansie@gmail.com, Njutapmvoui Ismaïla ismaeldiallo1983@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.