Common Voice Scripted Speech 23.0 - Gidar
Locale: gid
Size: 206.31 MB
Task: ASR
Format: MP3
License: CC-0
[Guidar] — Guidar (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.
Language
Ethnologue online presents Gidar as a stable indigenous language of Cameroon and Chad. It belongs to the Afro-Asiatic 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.
| Gender | Pertentage |
|---|---|
| Undefined | 100.0% |
Age
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% |
Writing system
The collection of sentence prompts is written in a Latin-based script with a few phonetic characters and no tone.
Sample
There follows a randomly selected sample of five sentences from the corpus.
Nolanha pay nis guekuga nar ban mogroko nis darkiyu va kesoko
Kuma tisine gəda waya ho na wuzlera metikine diy kisok
Medam əza bià derbaka wuza kurump amanz medam a bar na mifiya
Packam naw asgassuwək pay pak aka wəne nasmaïska, pay pak nawbo nəɓoŋko
Offo akà gula nakum miki iŋklé atani
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.
Community links
Contribute
https://commonvoice.mozilla.org/gid/
Acknowledgements
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 :
Solange Ankavay
Sali Wadou
The organization of the data camp was conducted by a dynamic whose dedication is herewith acknowledged :
Dr. Florus Landry Dibenge (Project Lead)
Eliette Emilie-Caroline Ngo Tjomb Assembe
Eric Koung
Blaise Mathieu Banum Manguele
Martial Brice Antangana Eloundou
Emmanuel Giovanni Eloundou Eyenga
Datasheet authors
Emmanuel Ngue Um ngueum@gmail.com, Solange Ankavay solangeankavay@gmail.com, Sali Wadou salywadu@yahoo.com
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.