Common Voice Scripted Speech 24.0 - Baatonum

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License:

CC0-1.0

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Steward:

Common Voice

Task: 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.

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.

GenderPercentage
Undefined100.0%

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Age BandPercentage
Undefined100.0%

Text corpus

Writing system

Symbol table

Sample

There follows a randomly selected sample of five sentences from the corpus.

  1. Baa yori yu ra de bù bwesenu wunana

  2. Tundo kpaaru mi nɛn tundon sesu nɛn tiɔwa

  3. Yanse wi u ra debun tundo wi sokuwa sika do

  4. Kabatɛ̃̀ɛku ga nɛɛ ǹ kun diirɔ, ǹ pɛtɛ ko

  5. 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

DomainCount
Undefined8552

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.