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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 215.47 MB
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A collection of scripted spoken phrases in Gen.
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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.
gej)This datasheet is for the Mozilla Common Voice Scripted Speech dataset
for Mina (gej). The dataset contains 11.43 hours of recorded speech (collected, ongoing validation) from more than 19 recording endpoints, mostly by women.
Mina (also called Gen, Gɛn gbe, Popo) is a Gbe language spoken primarily in southern Togo (Maritime Region) and in southern Benin (Mono Department). It is part of the Kwa branch of the Niger-Congo family. The language is used in daily communication, religious contexts, oral literature, and traditional expressions.
Mina / Gen is a tonal language, using level tones:
High tone: marked with an acute accent (´)
Low tone: unmarked
Nasalization is indicated via n following the vowel (e.g. an, en) rather than via diacritics.
Uppercase:
A B C D Ɖ E Ɛ F G GB Ɣ H X I J K KP L M N NY Ŋ Ɔ P S T U Ʋ V W Y Z
Lowercase:
a b c d ɖ e ɛ f g gb ɣ h x i j k kp l m n ny ŋ ɔ p s t u ʋ v w y z
The dataset has been compiled from:
Religious books (translations, liturgy)
Dictionaries of Mina / Gen
Common expressions collected from everyday life and fieldwork
To get more information about this dataset and find out how you can contribute, please take a look at the following links.
Common Voice Mina / Gen (gej) page (link to be activated when available)
Justin Bakoubolo
AGBOBLI, PhD
Justin Bakoubolo — supervised the compilation and coordination of the dataset.
Justin Bakoubolo <justin.bakoubolo@umbaji.org>
This dataset was made possible by the Open Multilingual Speech Fund.
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.