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ORCIDKamil Adiloglu
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2020 – today
- 2021
[j5]Marie Luengen, Christopher Garrelfs, Kamil Adiloglu, Melanie Krueger, Benjamin Cauchi, Uwe Markert, Marei Typlt
, Martin Kinkel, Carsten Schultz:
Connected Hearing Devices and Audiologists: The User-Centered Development of Digital Service Innovations. Frontiers Digit. Health 3: 739370 (2021)- 2020
- [c14]Reza Varzandeh, Kamil Adiloglu, Simon Doclo, Volker Hohmann:
Exploiting Periodicity Features for Joint Detection and DOA Estimation of Speech Sources Using Convolutional Neural Networks. ICASSP 2020: 566-570 - [c13]Andreas Hüwel, Kamil Adiloglu, Jörg-Hendrik Bach:
Hearing aid Research Data Set for Acoustic Environment Recognition. ICASSP 2020: 706-710
2010 – 2019
- 2018
- [c12]Benjamin Cauchi, Marco Eichelberg, Andreas Hüwel, Kamil Adiloglu, Hartmut Richter, Marei Typlt:
Hardware / Software Architecture for Services in the Hearing Aid Industry. HealthCom 2018: 1-6 - 2017
- [j4]Niko Moritz, Kamil Adiloglu, Jörn Anemüller, Stefan Goetze, Birger Kollmeier:
Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition. Comput. Speech Lang. 46: 558-573 (2017) - 2016
- [j3]Kamil Adiloglu, Emmanuel Vincent:
Variational Bayesian Inference for Source Separation and Robust Feature Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1746-1758 (2016) - [c11]Kamil Adiloglu, Graham Coleman, Hendrik Kayser, Volker Hohmann:
Online estimation of inter-channel phase differences using non-negative matrix factorization. MLSP 2016: 1-6 - 2015
- [c10]Niko Moritz, Stephan Gerlach, Kamil Adiloglu, Jörn Anemüller, Birger Kollmeier, Stefan Goetze:
A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition. ASRU 2015: 468-474 - 2014
- [c9]Hendrik Kayser, Jörn Anemüller, Kamil Adiloglu:
Estimation of inter-channel phase differences using non-negative matrix factorization. SAM 2014: 77-80 - [c8]Kamil Adiloglu, Tobias Herzke, Volker Hohmann, Matthieu Recugnat, Martin Besnard, Teng Huang, Bradford Backus:
The ABCIT research platform. IWAENC 2014: 26-29 - 2013
- [c7]Jens Schröder, Niko Moritz, Marc René Schädler, Benjamin Cauchi, Kamil Adiloglu, Jörn Anemüller, Simon Doclo, Birger Kollmeier, Stefan Goetze:
On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'. WASPAA 2013: 1-4 - 2012
- [j2]Kamil Adiloglu, Robert Anniés, Elio Wahlen, Hendrik Purwins, Klaus Obermayer:
A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Trans. Speech Audio Process. 20(5): 1542-1552 (2012) - [c6]Kamil Adiloglu, Emmanuel Vincent:
A general variational Bayesian framework for robust feature extraction in multisource recordings. ICASSP 2012: 273-276 - 2011
- [c5]Kamil Adiloglu:
An uncertainty estimation approach for the extraction of source features in multisource recordings. EUSIPCO 2011: 1663-1667
2000 – 2009
- 2009
- [b1]Kamil Adiloglu:
A paradigmatic approach for the melodic analysis. Berlin Institute of Technology, 2009 - 2008
- [c4]Kamil Adiloglu, Robert Anniés, Klaus Obermayer, Yon Visell, Carlo Drioli:
Adaptive bottle. ICMC 2008 - [c3]Kamil Adiloglu, Robert Anniés, Falk-Florian Henrich, André Paus, Klaus Obermayer:
Geometrical Approaches to Active Learning. SJTU-TUB Joint Workshop 2008: 11-19 - 2007
- [j1]Kamil Adiloglu, Ferda Nur Alpaslan:
A machine learning approach to two-voice counterpoint composition. Knowl. Based Syst. 20(3): 300-309 (2007) - 2006
- [c2]Kamil Adiloglu, Klaus Obermayer:
Melodic Topologies. ICMC 2006 - 2005
- [c1]Kamil Adiloglu, Klaus Obermayer:
Finding Subsequences of Melodies in Musical Pieces. ICMC 2005
Coauthor Index
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