Common Voice Scripted Speech 24.0 - Baatonum
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 284.12 MB
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Description
A collection of scripted spoken phrases in Baatonum.
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
Baatɔnum — Baatonum (bba)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Baatonum (bba). The dataset contains 8552 clips representing 15.02 hours of recorded
speech (11.02 hours validated) from 14 speakers.
Language
According to Ethnoloque online Baatonum is a language of wider communication that originated in Benin and Nigeria. It belongs to the Niger-Congo language family. Direct evidence is lacking, but the language is thought to be used as a first language by all in the ethnic community. It is taught as a subject of instruction in education.
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 | 100.0% |
Text corpus
Writing system
Symbol table
Sample
There follows a randomly selected sample of five sentences from the corpus.
Baa yori yu ra de bù bwesenu wunana
Tundo kpaaru mi nɛn tundon sesu nɛn tiɔwa
Yanse wi u ra debun tundo wi sokuwa sika do
Kabatɛ̃̀ɛku ga nɛɛ ǹ kun diirɔ, ǹ pɛtɛ ko
Bù dom se win wasi sũuru sanam
Automatic random samples
Sɔ̃ɔ teeru, durɔ u win bɔrɔ kana, bù kurɔ naa da.
Baababa ka maabu bera u ra maa swĩ bù ka taasoru da.
Baa tem mù n dora, gbäæra kùn kpä tù ko gømbø: Baa wáaru tà n sankira, dumaa kùn ka gømbø nim nørumø. Baa ± n kua amø, gobigii ka bwäæbwäæ, ba ± næramø.
Baatɔmbun deemaan yĩirena.
N kuawa tirasi mɛ̀.
Sources
Text domains
| Domain | Count |
|---|---|
| Undefined | 8552 |
Processing
Recommended post-processing
Get involved!
Community links
Discussions
Contribute
https://commonvoice.mozilla.org/bba/
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 Baatonum, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
Dafia Kora
Imorou Mama
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, Dafia Kora koradafia2004@yahoo.fr, Imorou Maman mamaimorou@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.