About this document
Deep Learning for Aquaquam Zema Classification by Tseagaye Biresaw is a document available to read on EtoBox.
This document is a thesis submitted by Baye Tadesse Dagnew to Bahir Dar University in partial fulfillment of a Master of Science degree in Information Technology. The thesis explores developing a classification model for Ethiopian Orthodox Tewahido Church zema (hymns) using deep learning. It aims to classify zema into their respective categories known as aquaquams. The thesis discusses collecting audio data of different zema, extracting features from the audio, and using deep learning algorithms to develop
- Author
- Tseagaye Biresaw
- Language
- EN