Detection of rain in acoustic recordings of the environment using machine learning techniques
| Data(s) |
2015
|
|---|---|
| Resumo |
This thesis is concerned with the detection and prediction of rain in environmental recordings using different machine learning algorithms. The results obtained in this research will help ecologists to efficiently analyse environmental data and monitor biodiversity. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Queensland University of Technology |
| Relação |
http://eprints.qut.edu.au/82848/1/Meriem_Ferroudj_Thesis.pdf Ferroudj, Meriem (2015) Detection of rain in acoustic recordings of the environment using machine learning techniques. Masters by Research thesis, Queensland University of Technology. |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #Environmental sound classification #Feature extraction #Acoustic event classification #Audio classification #Machine learning #Data mining #Prediction techniques |
| Tipo |
Thesis |
