Details

Autor(en) / Beteiligte

• Tsakatanis, Nikolaos
• Iliadis, Lazaros A.
• Boursianis, Achilles D.
• Kokkinidis, Konstantinos-Iraklis D.
• Patronas, Georgios
• Serafeim, Pavlos
• Papadopoulou, Maria S.
• Goudos, Sotirios K.

Titel

Greek Orthodox Church Hymns Recognition Using Deep Learning Techniques

Ist Teil von

• 2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2023, p.1-3

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Link zum Volltext

Quelle

IEEE Xplore Digital Library

Beschreibungen/Notizen

• Deep learning techniques have found numerous applications in the sector of cultural and religious heritage. Greek Orthodox Church hymns are examples of Byzantine religious tradition. Their performance is governed by stringent rules not observed in other cultures. This work trains a novel shallow convolutional neural network to identify Greek Orthodox Church hymns using a private dataset. For ten of the most frequently chanted hymns, the deep learning model achieves over 98% accuracy. AlexNet and MobileNetV2 are trained on the same data to evaluate their performance. Additional analysis is conducted to validate the obtained results.