关注
Orhun Olgun
Orhun Olgun
Graduate Student, METU
在 metu.edu.tr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Multiple sound source localization with steered response power density and hierarchical grid refinement
MB Çöteli, O Olgun, H Hacıhabiboğlu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018
332018
METU SPARG eigenmike em32 acoustic impulse response dataset v0. 1.0
O Olgun, H Hacihabiboglu
Graduate School Inform., Middle East Tech. Univ., Ankara, Turkey, Tech. Rep, 2019
142019
Internal time delay calibration of rigid spherical microphone arrays for multi-perspective 6dof audio recordings
E Erdem, O Olgun, H Hacihabiboğlu
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
52021
Rotation calibration of rigid spherical microphone arrays for multi-perspective 6dof audio recordings
O Olgun, E Erdem, H Hacıhabiboğlu
2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA), 1-7, 2021
42021
Road and railway detection in SAR images using deep learning
N Şen, O Olgun, Ö Ayhan
Image and Signal Processing for Remote Sensing XXV 11155, 125-129, 2019
42019
Localization of multiple sources in the spherical harmonic domain with hierarchical grid refinement and eb-music
O Olgun, H Hacihabiboglu
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
42018
Data-driven threshold selection for direct path dominance test
O Olgun, H Hacıhabiboğlu
12019
Altı Serbestlik Dereceli Kapsayıcı Ortamlar Için Uzamsal Ses Sinyal İşleme
EGE ERDEM, O OLGUN, ECE BAHÇELİ, İE DEVECİ, H Hacihabiboglu
undefined, 2023
2023
Sound field interpolation via sparse plane wave decomposition for 6DoF immersive audio
O Olgun, E Erdem, H Hacıhabiboğlu
2023 Immersive and 3D Audio: from Architecture to Automotive (I3DA), 1-10, 2023
2023
Entropy-based direction-of-arrival estimation methods for rigid spherical microphone arrays
O Olgun
Middle East Technical University, 2019
2019
i3DA paper
O Olgun
Language Understanding and Computational Semantics Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.................................
H Sundar, TV Sreenivas, CS Seelamantula, S Lin, MB Cöteli, O Olgun, ...
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