Datasets:
The dataset viewer is not available for this split.
Error code: TooBigContentError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
π°πͺ Swahili Speech Dataset
π Swahili β The lingua franca of East Africa.
Spoken by 200+ million people across Kenya, Tanzania, Uganda, Rwanda, Burundi, and the DRC.
π§ Need more? sofia@silencioai.com β we have 9,786 hours of Swahili voice data.
π― Dataset Overview
70 high-quality Swahili recordings from native speakers across East Africa.
| Language | Speakers | Regions | Sample Size |
|---|---|---|---|
| π°πͺ Kiswahili | Native speakers | Kenya, Tanzania, Uganda | 70 recordings |
Speaker Demographics
- Gender balance: Mixed male/female
- Regions: Kenyan Swahili (Nairobi, Mombasa), Tanzanian Swahili
- Ages: 18-60+
- Recording quality: Real-world mobile recordings, natural speech
π Quick Start
from datasets import load_dataset
# Load dataset
swahili = load_dataset("SilencioNetwork/swahili-speech")
# Process samples
for sample in swahili['train']:
audio = sample['audio']
transcript = sample['transcript']
gender = sample['gender']
print(f"[{gender}] {transcript[:50]}...")
π Why Swahili?
Swahili (Kiswahili) is one of Africa's most important languages:
- π£οΈ 200+ million speakers across East and Central Africa
- π°πͺ Official language of Kenya, Tanzania, Uganda, Rwanda
- πΌ Growing digital economy β mobile banking, e-commerce booming
- π± Tech adoption β M-Pesa, voice AI demand rising
- π Pan-African lingua franca β Used across 10+ countries
Yet Swahili remains severely underrepresented in voice AI datasets.
π Full Data Availability
This sample is <1% of our Swahili corpus.
| Category | This Sample | Full Corpus Available |
|---|---|---|
| Swahili (Kenya) | 70 recordings | 9,786 hours |
| Total | 70 | 9,786 hours |
What We Have
- β 9,786 hours of Swahili voice data
- β Native speakers from Kenya, Tanzania, Uganda
- β Multiple dialects and accents
- β Real-world recording conditions
- β Transcriptions available
- β Rich metadata (gender, age, region, emotion)
π Metadata
Each recording includes:
| Field | Description |
|---|---|
file_name |
Audio file path |
id |
Unique recording ID |
audio |
Audio data (48 kHz WAV) |
transcript |
Swahili transcription |
gender |
Speaker gender (male/female) |
country_code |
ISO country code (KE, TZ, UG) |
mother_tongue |
Native language |
dialect |
Regional dialect |
duration |
Recording length (seconds) |
emotions |
Emotion labels (joy, neutral, etc.) |
type_of_script |
free_speech / keywords / monologues |
script |
Original prompt |
π€ Audio Format
- Format: WAV
- Sample Rate: 48 kHz
- Channels: Mono
- Recording: Real-world conditions (mobile devices, natural environments)
- Quality: Professional transcription and QA
π― Use Cases
- π£οΈ Swahili ASR β Speech recognition for East African markets
- π Swahili TTS β Voice synthesis for mobile apps, assistants
- π± Voice apps β M-Pesa, mobile banking, healthcare
- π Education β Language learning, literacy tools
- π Call centers β Automated customer support in Swahili
- π Benchmarking β Test multilingual model performance
- π Inclusive AI β Build voice AI that works for Africa
βοΈ License
CC BY-NC 4.0 β Free for research and non-commercial use.
For commercial licensing, contact sofia@silencioai.com.
π§ Get the Full Dataset
Need more Swahili data? We can help.
| What You Need | We Provide |
|---|---|
| More Swahili data | β 9,786 hours available |
| Other East African languages | β Luganda, Kinyarwanda, Kikuyu |
| Kenyan English | β 1,200+ hours |
| Tanzanian dialects | β Available |
| Custom collection | β Any East African language |
π§ Email: sofia@silencioai.com
π Website: silencioai.com
π Why Silencio Network?
- 1.5M+ active contributors globally
- 180+ countries represented
- 100+ languages available
- Real-world data β Not synthetic, not scripted
- Fast turnaround β Custom collection in 2-4 weeks
- Ethical sourcing β Contributors are paid fairly
Citation
@dataset{silencio_swahili_2025,
title = {Swahili Speech Dataset},
author = {Silencio Network},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/SilencioNetwork/swahili-speech}},
license = {CC BY-NC 4.0}
}
Related Datasets
- African Languages Speech Dataset β Multi-language African data
- Nigerian English Speech Dataset β Accented English from Nigeria
- South Asian Languages β Hindi, Urdu, Bengali
π Building voice AI for Africa? Let's talk: sofia@silencioai.com
- Downloads last month
- 5