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Št. zadetkov: 4
Identification of Greek Orthodox Church chants using fuzzy entropy
Lazaros Moysis, Konstantinos Karasavvidis, Dimitris Kampelopoulos, Achilles D. Boursianis, Sotirios P. Sotiroudis, Spiridon Nikolaidis, Christos Volos, Panagiotis Sarigiannidis, Mohammad Abdul Matin, Sotirios K. Goudos
Izvirni znanstveni članek
Oznake: audio fingerprinting;fuzzy entropy;Greek Orthodox Church chant;music identification;music information retrieval;entropy;
In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency domain is computed. We introduce a novel audio fing ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Artificial intelligence-empowered embryo selection for IVF applications
Lazaros Moysis, Lazaros Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou
Izvirni znanstveni članek
Oznake: artificial intelligence;assisted reproductive technology;computer vision;deep learning;embryo selection;image processing;in vitro fertilization;
In vitro fertilization (IVF) is a well-established and efficient assisted reproductive technology (ART). However, it requires a series of costly and non-trivial procedures, and the success rate still needs improvement. Thus, increasing the success rate, simplifying the process, and reducing costs ar ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Music deep learning
Lazaros Moysis, Lazaros Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Konstantinos-Iraklis D. Kokkinidis, Christos Volos, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos
Pregledni znanstveni članek
Oznake: deep learning;music signal processing;music information retrieval;music generation;neural networks;machine learning;artificial intelligence;
The discipline of Deep Learning has been recognized for its strong computational tools, which have been extensively used in data and signal processing, with innumerable promising results. Among the many commercial applications of Deep Learning, Music Signal Processing has received an increasing amou ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
ǂThe ǂchallenges of music deep learning for traditional music
Lazaros Moysis, Lazaros Iliadis, Sotirios P. Sotiroudis, Konstantinos-Iraklis D. Kokkinidis, Panagiotis Sarigiannidis, Spiridon Nikolaidis, Christos Volos, Achilles D. Boursianis, Dimitrios Babas, Maria S. Papadopoulou, Sotirios K. Goudos
Objavljeni znanstveni prispevek na konferenci
Oznake: music information retrieval;deep learning;machine learning;music generation;artificial intelligence;cultural tourism;cultural preservation;digital preservation;dataset;traditional music;heritage;cultural heritage;music;
Numerous applications for music listeners, educators, DJs, and musicians have been created over the past decade as the field of Music Deep Learning has expanded. Evidently, the majority of works rely on training their architectures using well-established databases, which consist primarily of Western ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 4
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