Common Voice Scripted Speech 23.0 - Ebrié

[Ebrie] — Ebrie (ebr)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Ebrie (ebr). The dataset contains 3.2 hours of recorded speech (2.4 hours validated) from 6 speakers.

Language

Ethnologue online describes Ebrie also known as Tchaman or Tyaman as a stable indigenous language of Côte d’Ivoire that 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 writing system used in the sentence collection for read speech in this dataset is phonetic-based with diacritics as tone marks.

Sample

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

1. Nkɛ́pwɛ éwan gbragbramɛn

2. Lephan nankhɛ le gɛ bhrwi njɔ̂n nmwá

3. Án nɛn an khɔ́ bháthó ncɛ́n

4. Ɛ bha lê ló khúbhɛ́ npi

5. Ń hɔn yípɔ bha bháthó

Automatic random samples

Nanphé ewá thándi.
Wo eló wu.
Awo gba Nanjwibhye hɛ́n cɛ́ɛ́.
Ń hɛn nnɛn khɛ́n mɛ́n ca le li a.
Yankan ole nɛ́n.

Community links

• Common Voice translators on Pontoon

Contribute

https://commonvoice.mozilla.org/ebr/

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

• Maxime Dido Yao

• Badjo Judicael Beugre

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, Maxime Dido Yao didmax35@gmail.com, Badjo Judicael Beugre bbjudicael@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.