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Sesotho Sample Dataset - Next Voices-ZA (South Africa) - Multilingual Speech Dataset - Sesotho
This dataset includes scripted and unscripted speech across various domains such as agriculture, health, finance, sports, transport, culture, society and general topics. It is primarily designed for automatic speech recognition (ASR).
Use Restriction:
This dataset includes scripted and unscripted speech across various domains such as agriculture, health, finance, sports, transport, culture, society, and general topics. It is primarily designed for use in automatic speech recognition (ASR) tasks.
Use of this dataset for any form of text-to-speech (TTS), voice cloning, voice synthesis, or any technology intended to replicate or generate human voices is strictly prohibited.
These restrictions are in place until further notice.
Folder structure
The dataset is organised hierarchically as follows:
Folder Structure
ANV-ZA-SOT-1h/
βββ sot/ # Folder for Sesotho
β βββ recorder_uuid/ # Contains all audio files
β β βββ recording-1731053452.wav
β β βββ ...
β βββ transcripts.csv # Contains transcripts of all audio recordings
β βββ meta.csv # Contains additional metadata
βββ README.md # Description of the dataset
Data overview
Audio
- Format: 16-bit PCM WAV
- Sample rate: 48kHz
Transcriptions
- Provided in
transcript.csv
with fields: -file_name
: Name of the audio file. -transcript
: Text transcription of the audio. -duration
: Duration of the recording in seconds. -type
: Scripted or unscripted.
Metadata
- Provided in
meta.csv
with fields such as: -recorder_uuid
: Unique speaker identifier. -age_range
,gender
Citation Information
Bibtex Reference (last updated 10/02/2025)
@dataset{marivate_2024_14336304,
author = {Marivate, Vukosi and
Olaleye, Kayode and
Mundia, Sitwala and
van Wyk, Nia Zion and
Bakainaga, Andinda and
Morrissey, Graham and
Dunbar, Dale and
Smit, Francois and
Mogale, Hope Tsholofelo},
title = {ANV-SOT-Sample-1: Sesotho Sample Dataset - Next
Voices-ZA (South Africa)
},
month = dec,
year = 2024,
publisher = {Zenodo},
version = {0.0.2},
doi = {10.5281/zenodo.14336304},
url = {https://doi.org/10.5281/zenodo.14336304},
}
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