Common Voice Scripted Speech 24.0 - Ghomala
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 259.84 MB
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Description
A collection of scripted spoken phrases in Ghomala.
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
[Ghomala] — Ghomala (bbj)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Ghomala (bbj). The dataset contains 7524 clips representing 12.95 hours of recorded
speech (12.47 hours validated) from 31 speakers.
Language
Ghomala is a Central-Bamileke language of the Grassfield-Bantu sub-group. It is spoken in the Mifi Division, West Region of Cameroon.
Variants
The Administrative Atlas of Cameroon's Languages (Breton and Bikia Fohtung 1991) lists four dialectal areas for the Ghomala language:
North Ghomala which comprises Fu'sep (of Bafoussam) and Lang (of Balong) varieties
Ngomba also known as West-Ghomala which comprises the Mugum (of the Bamungum), the Meka (of the Bameka) and the Monjo (of the Bamenju) varieties
Central-Ghomala which has the following varieties : Jo (of the Banjun), and Yegam (of the Bayangam)
South Ghomama which comprises Te (of the Batie), Pa (of the Bapa) and Denkwop (of the Badenwkop)
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 | 86.0% |
| Female Feminine | 14.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 85.0% |
| Twenties | 2.0% |
| Thirties | 13.0% |
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.
Nə́ fa' dəm nám ntʉɔ
Bâ tɛ msətùk bə́ yə pə́ wɛ mdzə
Ywə́ mlwâ euthanasie bə́ kʉ́ʉ́ ?
Pú bəm cwəp mɔkshyə dəm mta'shyə
Mə̌shyə bə́ yə gwyə̌, á haptə mtə̀m guŋ
Automatic random samples
Á wə́ cəŋ gaə̂ zhyə́ mlwâ kə́ŋtə́ données.
Ó fíŋ nə́ níŋ yǎ tʉ́m bɔ̂'sì a ?
Ě pə́ gwák mtâ pyə́ jyə ghə̀ mʉ́ é jʉm.
Pəjwǐ pə́ nɛ́ msɛ tâ.
Pú gaə̂kə́ tə pák mnwə mlwâ tuŋ ?
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 7524 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/bbj/
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 Ghomala, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Norine Andreas Kenge Defo
Paulin Noel Deffo Fogem
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, Norine Andreas Kenge Defo kengneandreas8@gmail.com, Paulin Noel Deffo Fogem < Noelfradiquesfoguem@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.