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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmflnn4819rrwowgqles4pioh
Release Date: 9/15/2025
Format: MP3
Size: 206.31 MB
A collection of scripted spoken phrases in Gidar.
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.
gid)This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Guidar (gid). The dataset contains 11 hours of recorded
speech (11 hours validated) from 16 speakers.
Ethnologue online presents Gidar as a stable indigenous language of Cameroon and Chad. It belongs to the Afro-Asiatic 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 | Pertentage |
|---|---|
| Undefined | 100.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 99.0% |
| Thirties | 1.0% |
The collection of sentence prompts is written in a Latin-based script with a few phonetic characters and no tone.
There follows a randomly selected sample of five sentences from the corpus.
Automatic random samples
Ezume vaskà kisikile ninek nani asan tizan kinetké pay kisine kune.
Asé kusu heremé adaku kizlaki nikiga daka na paya.
Soŋgoro pay net may kuma na dini wuk dida na adanta.
Minokum pay midé anakuda vi nevoyi dakulum misbukine kurum mantaki.
Dəf katergən awsla biyin sa? Ka diy pay na bare kidanti.
https://commonvoice.mozilla.org/gid/
The compilation of this dataset occured during data camp organized in Yaoundé (Cameroon) in May 2025. Two main contributors were involved in the localization of the MCV interface for Tuki, gathering of the sentence prompts, reading sentence prompts, and validating recordings. They are :
The organization of the data camp was conducted by a dynamic whose dedication is herewith acknowledged :
Emmanuel Ngue Um [email protected], Solange Ankavay [email protected], Sali Wadou [email protected]
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)
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.