Common Voice Scripted Speech 23.0 - Dagbani

[Dagbani] — Dagbani (dag)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Dagbani (dag). The dataset contains 13 hours of recorded speech (11 hours validated) from 46 speakers.

Language

According to Ethnologue online, Dagbani is a stable indigenous language of Ghana. It belongs to the Niger-Congo language family.

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.

Age

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

Writing system

The collection of sentence prompts used for read speech in the compilation of this dataset was scripted with in an alphabet that is mostly based on Latin characgers with some phonetic symbols such as ɣ, ʒ, ŋ, ɛ, and ɔ.

Sample

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

1. A ni zaŋ paɣ’ so ti ma ni o be n san’ la

2. Saliya karibu dali nyɛla din mali di saha

3. Ŋunkam mi ti mali di duno’ yɔriti, o bidibiga ŋun nyɛ biasani ni kpi

4. O ŋmɛri bɔbili din nyaɣisira pari kom zuɣu o nyaaŋa

5. zaŋ ʒim ve yi dunoya zuɣusahi mini dunopaɣira

Automatic random samples

Taali ka ninvuɣu gbarima zuɣu.
O chaŋ nti kpihim banshi.
Puumaya nyɛla Gana bilichina ŋun ny siyaasa nira.
Bɛ ni ka a na ni sihiranima balibu kam, ni ŋun nyɛ baŋda na.
a golidi a daamiliya paɣa konko.

Community links

• Common Voice translators on Pontoon

• Original language request on GitHub

Contribute

https://commonvoice.mozilla.org/dag/

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 Dagbani, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :

• Osman Mohammed Nndow

• Hadja Natuusamata Abubakari

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 <>, Osman Mohammed Nndow mnindow@uds.edu.gh, Hadja Natuusamata Abubakari hadijaabubakari16@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

The organization of the data camp that led to the compilation of this dataset was made possible by a grant by the Mozilla Foundation under the Opem Multingual Speech Fund (OMSF)

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.