Datasets:
metadata
language:
- sw
license: cc-by-4.0
task_categories:
- text-to-speech
- automatic-speech-recognition
pretty_name: Kiswahili Tts Dataset
tags:
- kiswahili
- swahili
- sw
- tts
- speech
- east-africa
- kenya
- tanzania
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: frequency
dtype: int32
- name: source
dtype: string
splits:
- name: train
num_examples: 11245
size_categories:
- 10K<n<100K
Kiswahili Tts Dataset
Dataset Description
Kiswahili (Swahili) TTS dataset combining two sub-collections: (1) the 'A Kiswahili Dataset for Development of Text-To-Speech System' corpus (Kiswa-XXXXX studio recordings with Biblical and general-domain text), and (2) crowdsourced Swahili speech (swh_XXX recordings at 16kHz, studio quality). Covers topics relevant to East Africa.
Languages
- Language: Kiswahili / Swahili (sw)
- BCP-47:
sw
Source tag
kiswahili — value of the source column in every row.
Dataset Structure
| Column | Type | Description |
|---|---|---|
audio |
Audio | Raw WAV audio at original recording frequency |
text |
string | Transcription of the spoken content |
frequency |
int | Sample rate in Hz of the audio |
source |
string | Origin label (kiswahili) |
Splits
| Split | Samples |
|---|---|
| train | 11245 |
Related Work
Prepared in the context of East African speech technology research. See also the Sunbird AI SALT dataset — a multi-language parallel corpus covering Luganda, Acholi, Swahili, Runyankole, Lugbara, and Ateso, used as a benchmark for TTS/ASR in East Africa.
License
Citation
@dataset{kiswahili_tts,
author = {Bateesa},
title = {Kiswahili Tts Dataset},
year = {2025},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/Bateesa/kiswahili-tts-dataset}
}