Common Voice Scripted Speech 23.0 - Tem
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 191.74 MB
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Description
A collection of scripted spoken phrases in Tem.
Specifics
Considerations
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
Processes
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.
Metadata
Tem — Kotokoli (kdh)
This datasheet is for the Mozilla Common Voice Scripted Speech dataset
for Tem (kdh). The dataset contains 10.63 hours of recorded speech (collected, ongoing validation) from more than 19 recording endpoints, mostly by women.
Language
Tem (Kotokoli) is a Gur language spoken primarily in Togo, Ghana, Benin, and Burkina Faso. It is part of the Niger-Congo family. The language is used in daily communication, religious practice, and traditional expressions.
Writing system
Tem is a tonal language, typically with two level tones:
High (´)
Low (unmarked)
Tone is essential for distinguishing lexical and grammatical meaning.
Symbol table
Uppercase:
A B C D Ɖ E Ɛ F G Gb H I Ɩ J K Kp L M N Ny Ŋ Ŋm O Ɔ P R S T U Ʊ V W Y Z
Lowercase:
a b c d ɖ e ɛ f g gb h i ɩ j k kp l m n ny ŋ ŋm o ɔ p r s t u ʊ v w y z
Sources
The dataset has been compiled from:
Religious books (translations and liturgy).
Dictionaries of Tem.
Common expressions collected from everyday life and fieldwork.
Get involved!
To get more information about this dataset and find out how you can contribute, please take a look at the following links.
Community links
Common Voice Tem (kdh) page (link to be activated when available)
Contribute
Curators
Justin Bakoubolo
Bella P.
Compiler / Coordinator
Justin Bakoubolo — supervised the compilation and coordination of the dataset.
Contact
Justin Bakoubolo <justin.bakoubolo@umbaji.org>
Funding
This dataset was made possible by the Open Multilingual Speech Fund.
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.