Search Results - "Adiloğlu, Kamil"

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  1. 1

    Are They Calling My Name? Attention Capture Is Reflected in the Neural Tracking of Attended and Ignored Speech by Holtze, Björn, Jaeger, Manuela, Debener, Stefan, Adiloğlu, Kamil, Mirkovic, Bojana

    Published in Frontiers in neuroscience (22-03-2021)
    “…Difficulties in selectively attending to one among several speakers have mainly been associated with the distraction caused by ignored speech. Thus, in the…”
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    Journal Article
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  3. 3

    Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition by Moritz, Niko, Adiloğlu, Kamil, Anemüller, Jörn, Goetze, Stefan, Kollmeier, Birger

    Published in Computer speech & language (01-11-2017)
    “…•An elaborate ASR system is proposed that outperforms the best results of the 3rd CHiME challenge.•Amplitude modulation filter bank (AMFB) features demonstrate…”
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    Journal Article
  4. 4

    A Binaural Steering Beamformer System for Enhancing a Moving Speech Source by Adiloğlu, Kamil, Kayser, Hendrik, Baumgärtel, Regina M., Rennebeck, Sanja, Dietz, Mathias, Hohmann, Volker

    Published in Trends in hearing (30-12-2015)
    “…In many daily life communication situations, several sound sources are simultaneously active. While normal-hearing listeners can easily distinguish the target…”
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    Journal Article
  5. 5

    Comparing Binaural Pre-processing Strategies II: Speech Intelligibility of Bilateral Cochlear Implant Users by Baumgärtel, Regina M., Hu, Hongmei, Krawczyk-Becker, Martin, Marquardt, Daniel, Herzke, Tobias, Coleman, Graham, Adiloğlu, Kamil, Bomke, Katrin, Plotz, Karsten, Gerkmann, Timo, Doclo, Simon, Kollmeier, Birger, Hohmann, Volker, Dietz, Mathias

    Published in Trends in hearing (30-12-2015)
    “…Several binaural audio signal enhancement algorithms were evaluated with respect to their potential to improve speech intelligibility in noise for users of…”
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    Journal Article
  6. 6

    Comparing Binaural Pre-processing Strategies I: Instrumental Evaluation by Baumgärtel, Regina M., Krawczyk-Becker, Martin, Marquardt, Daniel, Völker, Christoph, Hu, Hongmei, Herzke, Tobias, Coleman, Graham, Adiloğlu, Kamil, Ernst, Stephan M. A., Gerkmann, Timo, Doclo, Simon, Kollmeier, Birger, Hohmann, Volker, Dietz, Mathias

    Published in Trends in hearing (30-12-2015)
    “…In a collaborative research project, several monaural and binaural noise reduction algorithms have been comprehensively evaluated. In this article, eight…”
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    Journal Article
  7. 7

    Variational Bayesian Inference for Source Separation and Robust Feature Extraction by Adiloglu, Kamil, Vincent, Emmanuel

    “…We consider the task of separating and classifying individual sound sources mixed together. The main challenge is to achieve robust classification despite…”
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    Journal Article
  8. 8

    Neural speech tracking and auditory attention decoding in everyday life by Straetmans, Lisa, Adiloglu, Kamil, Debener, Stefan

    Published in Frontiers in human neuroscience (13-11-2024)
    “…Introduction In our complex world, the auditory system plays a crucial role in perceiving and processing our environment. Humans are able to segment and stream…”
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    Journal Article
  9. 9

    Exploiting Periodicity Features for Joint Detection and DOA Estimation of Speech Sources Using Convolutional Neural Networks by Varzandeh, Reza, Adiloglu, Kamil, Doclo, Simon, Hohmann, Volker

    “…While many algorithms deal with direction of arrival (DOA) estimation and voice activity detection (VAD) as two separate tasks, only a small number of…”
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    Conference Proceeding
  10. 10

    Connected Hearing Devices and Audiologists: The User-Centered Development of Digital Service Innovations by Luengen, Marie, Garrelfs, Christopher, Adiloǧlu, Kamil, Krueger, Melanie, Cauchi, Benjamin, Markert, Uwe, Typlt, Marei, Kinkel, Martin, Schultz, Carsten

    Published in Frontiers in digital health (20-09-2021)
    “…Today, medical technology manufacturers enter the service market through the development of digital service innovations. In the field of audiology, these…”
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    Journal Article
  11. 11

    A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events by Adiloglu, Kamil, Annies, R., Wahlen, E., Purwins, H., Obermayer, K.

    “…Studies of Gaver (W. W. Gaver, "How do we hear in the world? Explorations in ecological acoustics," Ecological Psychology, 1993) revealed that humans…”
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    Journal Article
  12. 12

    Comparing Binaural Pre-processing Strategies II by Regina M. Baumgärtel, Hongmei Hu, Martin Krawczyk-Becker, Daniel Marquardt, Tobias Herzke, Graham Coleman, Kamil Adiloğlu, Katrin Bomke, Karsten Plotz, Timo Gerkmann, Simon Doclo, Birger Kollmeier, Volker Hohmann, Mathias Dietz

    Published in Trends in hearing (01-12-2015)
    “…Several binaural audio signal enhancement algorithms were evaluated with respect to their potential to improve speech intelligibility in noise for users of…”
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    Journal Article
  13. 13

    Comparing Binaural Pre-processing Strategies I by Regina M. Baumgärtel, Martin Krawczyk-Becker, Daniel Marquardt, Christoph Völker, Hongmei Hu, Tobias Herzke, Graham Coleman, Kamil Adiloğlu, Stephan M. A. Ernst, Timo Gerkmann, Simon Doclo, Birger Kollmeier, Volker Hohmann, Mathias Dietz

    Published in Trends in hearing (01-12-2015)
    “…In a collaborative research project, several monaural and binaural noise reduction algorithms have been comprehensively evaluated. In this article, eight…”
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    Journal Article
  14. 14

    Hearing aid Research Data Set for Acoustic Environment Recognition by Huwel, Andreas, Adiloglu, Kamil, Bach, Jorg-Hendrik

    “…State-of-the-art hearing aids (HA) are limited in recognizing acoustic environments. Much effort is spent on research to improve listening experience for HA…”
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    Conference Proceeding
  15. 15

    Estimation of inter-channel phase differences using non-negative matrix factorization by Kayser, Hendrik, Anemuller, Jorn, Adiloglu, Kamil

    “…Estimation of non-linearities in phase differences between two or more channels of an audio recording leads to a more precise spatial information in audio…”
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    Conference Proceeding
  16. 16

    A machine learning approach to two-voice counterpoint composition by Adiloglu, Kamil, Alpaslan, Ferda N.

    Published in Knowledge-based systems (01-04-2007)
    “…Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in…”
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    Journal Article
  17. 17

    On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events' by Schroder, Jens, Moritz, Niko, Schadler, Marc Rene, Cauchi, Benjamin, Adiloglu, Kamil, Anemuller, Jorn, Doclo, Simon, Kollmeier, Birger, Goetze, Stefan

    “…In this contribution, an acoustic event detection system based on spectro-temporal features and a two-layer hidden Markov model as back-end is proposed within…”
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    Conference Proceeding
  18. 18

    A paradigmatic approach to extract the melodic structure of a musical piece by Adiloglu, Kamil, Noll, Thomas, Obermayer, Klaus

    Published in Journal of new music research (01-09-2006)
    “…We present an automated, mathematical approach to the paradigmatic analysis of the melodic content of a piece of music. We consider all melodic segments of…”
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    Journal Article
  19. 19

    A general variational Bayesian framework for robust feature extraction in multisource recordings by Adiloglu, K., Vincent, E.

    “…We consider the problem of extracting features from individual sources in a multisource audio recording using a general source separation algorithm. The main…”
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    Conference Proceeding
  20. 20

    An uncertainty estimation approach for the extraction of source features in multisource recordings by Adiloglu, Kamil, Vincent, Emmanuel

    “…We consider the extraction of individual source features from a multisource audio recording by combining source separation with feature extraction. The main…”
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    Conference Proceeding