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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmj8l8byh006rnlovg6ayin2l
Release Date: 12/5/2025
Format: MP3
Size: 61.92 MB
A collection of scripted spoken phrases in Ebrie.
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
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.
ebr)This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Ebrie (ebr). The dataset contains 2051 clips representing 3.18 hours of recorded
speech (2.39 hours validated) from 6 speakers.
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.
The dataset includes the following distribution of age and gender.
Self-declared gender information, percentage refers to the number of clips annotated with this gender.
| Gender | Percentage |
|---|---|
| Undefined | 68.0% |
| Female Feminine | 32.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 3.0% |
| Twenties | 23.0% |
| Thirties | 32.0% |
| Fourties | 42.0% |
The writing system used in the sentence collection for read speech in this dataset is phonetic-based with diacritics as tone marks.
There follows a randomly selected sample of five sentences from the corpus.
Nkɛ́pwɛ éwan gbragbramɛn
Lephan nankhɛ le gɛ bhrwi njɔ̂n nmwá
Án nɛn an khɔ́ bháthó ncɛ́n
Ɛ bha lê ló khúbhɛ́ npi
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.
| Domain | Count |
|---|---|
| Undefined | 2051 |
https://commonvoice.mozilla.org/ebr/
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
Emmanuel Ngue Um [email protected], Maxime Dido Yao [email protected], Badjo Judicael Beugre [email protected]
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).
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.