Kenya Forest Sounds Dataset
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Authors and Contributors
All authors and contributors are listed on Zenodo:
zenodo.org
About
The Kenya Forest Sounds Dataset contains 5,500 audio recordings collected during excursions to three forests in the Kenyan South Rift region:
Oloolua Forest (Kajiado County)
Ngong Hills Forest Reserve (Kajiado County)
Nyangores Forest (Bomet County)
The primary purpose of this dataset is to address the limited availability of natural sound recordings from tropical forest ecosystems. The dataset can be used for machine learning classification tasks that detect and classify natural sounds occurring in forest environments.
Potential Use Cases
Detecting human conversation in forest ecosystems.
Identifying Swahili-English human conversations.
Acoustic biodiversity and environmental monitoring.
Training and evaluation of audio classification models.
Refer to the datasheet on the Zenodo record for more details regarding collection and use of the dataset.
Dataset Structure
Audio files are provided in WAV format using the naming convention:
ZOOM0XXX_X_16k.wav
Clip durations range from 0.07 seconds to 5.02 seconds.
The dataset README (Dataset_Description.xlsx) contains two annotation tabs:
Human-Annotated
ML-Annotated-People-Talking
The Human-Annotated subset contains 3,164 sounds labelled by human annotators.
The ML-Annotated-People-Talking subset contains 2,336 sounds of human conversation detected by a pre-trained model and subsequently validated by human annotators.
Details of the ML annotation workflow are available at:
github.com
Sound Labels
The dataset contains the following labels as done conventionally by the research team:
Label
Count
Axe
90
Bag
12
Bag Zip
22
Birds
213
car passing
1
Chainsaw
129
Child
2
cow mooing
2
Creaking
1
Crickets
3
Cutting wood
7
Distant talking
15
disturbance noise
6
Drone
5
Engine
3
Flowing water
21
Livestock
26
Machine beeping
1
Machine moving
6
Motorcycle
5
Moving object
8
Moving vehicle
6
Objects moving
46
Objects moving in water
11
passing vehicle
3
people talking
39
people talking and laughing
1
person laughing
2
Person moving
9
Person singing
3
Person talking
3448
person talking over disturbance noise
1
Person walking
379
Phone
4
Plastic wrapper
11
pouring water
4
radio
1
Shuffling
13
sloshing water
4
sloshing water and talking
1
Steel banging
1
Vehicle
703
White Noise
1
Wind
231
SUM
5500
Citation and Attribution
When using this dataset, please cite the dataset record available on Zenodo:
zenodo.org
Any questions/issues are more than welcome: please write to Allan Vikiru (avikiru@strathmore.edu) with your query!