Common Voice Scripted Speech 24.0 - Fang
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 235.94 MB
Share
Description
A collection of scripted spoken phrases in Fang.
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
[Fang] — Fang (fan)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Fang (fan). The dataset contains 8134 clips representing 11.7 hours of recorded
speech (11.09 hours validated) from 43 speakers.
Language
Fang is a Bantu language belonging to the Niger-Congo familty and to the Beti-Fang group.
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 | 100.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 89.0% |
| Teens | 1.0% |
| Fourties | 10.0% |
Text corpus
Writing system
The writing system used in the sentence prompts is that of the Protestant Missionaries.
Symbol table
Sample
There follows a randomly selected sample of five sentences from the corpus.
Bito betare be nga likh
Tsiiyi fô ason é tsaman
Me kî é sughʼé mone mbokh
Keñé ésa zia be ne, ô bômé bo fwé
Sè môr meti nlô
Automatic random samples
Nkol ô mana kabda éli,
Koko a ne vé, a ye wo bi.
Luma bifer,
Ngwuin é nga swimi minlakh nyandomo é nye a baʼa moi.
Nya ayañe.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 8134 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
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 Fang, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Raissa Messeng
Jojo Paulnareph Moaboulou Endamane
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, Raissa Messeng assimizele@gmail.com, Jojo Paulnareph Moaboulou Endamane jopaulmoa@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.