Common Voice Scripted Speech 24.0 - Duala
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 297.91 MB
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Description
A collection of scripted spoken phrases in Duala.
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
[Duala] — Duala (dua)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Duala (dua). The dataset contains 8124 clips representing 15.38 hours of recorded
speech (13.29 hours validated) from 13 speakers.
Language
Duala is a coastal Bantu language spoken in the Wouri, Moungo Divisions, Littoral Region in Cameroon.
Variants
The Administrative Atlas of Cameroon's Languages (Breton and Bikia Fohtung, 1991) lists two varieties of Duala: Pongo and Muungo. Contributors to this dataset have listed another dialect, Ewale, which is reflected in the collection of sentence prompts used for read speech in this dataset.
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 | 89.0% |
| Female Feminine | 11.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 77.0% |
| Twenties | 11.0% |
| Thirties | 10.0% |
| Fourties | 2.0% |
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.
Na mɔ́ é alá nyɔ́ madíɓá ó son á toŋgo é tá ɓɛɓɛ na mú mbutu mwá ɓewudú
Ɓodû ɓó mapúlánɛ́ moto pái na mutúmbu, m̀ɓóso na masɔŋgɔ́ɔ̄
Njɔu e ɓɛ̂n yɔdú yá ɓwaɓɛ̀
Mapapá ma e mɔŋgɔ mwáō na ó dibum na ó mídi míɓanɛ́
Ó wásé áō ndé minyáŋgádú mí moōlɛɛ́ mí enɔ́
Automatic random samples
Ni ená ní íŋgéá ó tǔŋ.
A ɓélɛ́ múnja áō na ɓaɓɔ́ ɓá ɓáísɛ́ mɔ́ ná:
Muɗóŋgó mú asám mú e ɓɛɓɛ na múnja.
Ɓá mabúsísɛ́ ɓepúndúŋga ɓéndɛ̄nɛ ó ɓekúkúdú ɓé pɔ́tí wásē.
Na timbí ndé ka mɔɔ́ nyányū ó ndutu yɛ́sɛ̄.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 8124 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/dua/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 Duala, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Eyoum Ndando Thomas
Lydie Grâce Njowe Etongo
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, Eyoum Ndando Thomas thomas.eyoum@ucac-icam.com, Lydie Grâce Njowe Etongo njowelydie25@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.