Publications

  1. Yigitcan Özer and Meinard Müller
    Source Separation of Piano Concertos with Test-Time Adaptation
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2022. PDF Demo Presentation
    @inproceedings{OezerM22_PianoSepAdapt_ISMIR,
    author    = {Yigitcan \"Ozer and Meinard M\"uller},
    title     = {Source Separation of Piano Concertos with Test-Time Adaptation},
    booktitle = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
    address   = {Bengaluru, India},
    year      = {2022},
    url-pdf   = {2022_OezerM_PianoSepAdapt_ISMIR.pdf},
    url-presentation = {2022_OezerM_PianoSepAdapt_ISMIR_poster.pdf},
    url-demo = {https://www.audiolabs-erlangen.de/resources/MIR/2022-PianoSep}
    }
  2. Yigitcan Özer, Matěj Ištvánek, Vlora Arifi-Müller, and Meinard Müller
    Using Activation Functions for Improving Measure-Level Audio Synchronization
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2022. PDF Presentation
    @inproceedings{OezerIAM22_MusicSync_ISMIR,
    author    = {Yigitcan \"Ozer and Matěj Ištvánek and Vlora Arifi-M\"uller and Meinard M\"uller}
    title     = {Using Activation Functions for Improving Measure-Level Audio Synchronization},
    booktitle = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
    address   = {Bengaluru, India},
    year      = {2022},
    url-pdf   = {2022_OezerIAM_MusicSync_ISMIR.pdf},
    url-presentation = {2022_OezerIAM_MusicSync_ISMIR_poster.pdf}
    }
  3. Yigitcan Özer, Jonathan Hansen, Tim Zunner, and Meinard Müller
    Investigating Nonnegative Autoencoders for Efficient Audio Decomposition
    In Proceedings of the European Signal Processing Conference (EUSIPCO): 254–258, 2022. PDF Presentation
    @inproceedings{OezerHZM22_NAE_EUSIPCO,
    author    = {Yigitcan \"Ozer and Jonathan Hansen and Tim Zunner and Meinard M\"uller},
    title     = {Investigating Nonnegative Autoencoders for Efficient Audio Decomposition},
    booktitle = {Proceedings of the European Signal Processing Conference ({EUSIPCO})},
    address   = {Belgrade, Serbia},
    year      = {2022},
    pages     = {254--258},
    url-presentation = {2022_OezerHZM_NAE_EUSIPCO_poster.pdf},
    url-pdf   = {https://ieeexplore.ieee.org/document/9909787}
    }
  4. Yigitcan Özer, Michael Krause, and Meinard Müller
    Using the Sync Toolbox for an Experiment on High-Resolution Music Alignment
    In Demos and Late Breaking News of the International Society for Music Information Retrieval Conference (ISMIR), 2021. PDF Presentation
    @inproceedings{2021_OezerKM_SyncSpecFlux_ISMIR-LBD,
    author      = {Yigitcan \"Ozer and Michael Krause and Meinard M\"uller},
    title       = {Using the Sync Toolbox for an Experiment on High-Resolution Music Alignment},
    booktitle   = {Demos and Late Breaking News of the International Society for Music Information Retrieval Conference ({ISMIR})},
    address     = {Online},
    year        = {2021},
    url-pdf     = {2021_OezerKM_SyncSpecFlux_ISMIR-LBD.pdf},
    url-presentation = {2021_OezerKM_SyncSpecFlux_ISMIR-LBD_Poster.pdf}
    }
  5. Meinard Müller, Yigitcan Özer, Michael Krause, Thomas Prätzlich, and Jonathan Driedger
    Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization
    Journal of Open Source Software (JOSS), 6(64): 1–4, 2021. PDF Demo DOI
    @article{MuellerZ21_SyncToolbox_JOSS,
    author    = {Meinard M{\"u}ller and Yigitcan {\"O}zer and Michael Krause and Thomas Pr{\"a}tzlich and Jonathan Driedger},
    title     = {{S}ync {T}oolbox: {A} {P}ython Package for Efficient, Robust, and Accurate Music Synchronization},
    journal   = {Journal of Open Source Software ({JOSS})},
    volume    = {6},
    number    = {64},
    year      = {2021},
    pages     = {3434:1--4},
    doi         = {10.21105/joss.03434},
    url-pdf   = {2021_MuellerOKPD_SyncToolbox_JOSS.pdf},
    url-demo = {https://github.com/meinardmueller/synctoolbox}
    }
  6. Prachi Govalkar, Ahmed Mustafa, Nicola Pia, Judith Bauer, Metehan Yurt, Yigitcan Özer, and Christian Dittmar
    A Lightweight Neural TTS System for High-quality German Speech Synthesis
    In Speech Communication; 14th ITG Conference: 1–5, 2021. PDF
    @inproceedings{2021_GovalkarMPBYOD_LightweightTTSGerman_ITG,
    author    = {Prachi Govalkar and Ahmed Mustafa and Nicola Pia and Judith Bauer and Metehan Yurt and Yigitcan \"Ozer and Christian Dittmar},
    booktitle = {Speech Communication; 14th ITG Conference},
    title     = {A Lightweight Neural TTS System for High-quality German Speech Synthesis},
    year      = {2021},
    volume    = {},
    number    = {},
    pages     = {1--5},
    url-pdf   = {https://ieeexplore.ieee.org/document/9657503}
    }
  7. Patricio López-Serrano, Christian Dittmar, Yigitcan Özer, and Meinard Müller
    NMF Toolbox: Music Processing Applications of Nonnegative Matrix Factorization
    In Proceedings of the International Conference on Digital Audio Effects (DAFx), 2019. PDF Demo
    @inproceedings{LopezSerranoDOEM19_NMFToolbox_DAFx,
    author    = {Patricio L\{'o}pez-Serrano and Christian Dittmar and Yigitcan \"Ozer and Meinard M\"uller},
    booktitle = {Proceedings of the International Conference on Digital Audio Effects ({DAFx})},
    title     = {NMF Toolbox: Music Processing Applications of Nonnegative Matrix Factorization},
    year      = {2019},
    month     = {September},
    address   = {Birmingham, UK},
    pages     = {},
    url-pdf   = {2019_LopezSerranoDOM_NMF_DAFx.pdf},
    url-demo = {https://www.audiolabs-erlangen.de/resources/MIR/NMFtoolbox}
    }
  8. Haitian Zheng, Lu Fang, Mengqi Ji, Matti Strese, Yigitcan Özer, and Eckehard G. Steinbach
    Deep Learning for Surface Material Classification Using Haptic and Visual Information
    IEEE Transactions on Multimedia, 18(12): 2407–2416, 2016. DOI
    @article{DBLP:journals/tmm/ZhengFJSOS16,
    author    = {Haitian Zheng and Lu Fang and Mengqi Ji and Matti Strese and Yigitcan \"Ozer and Eckehard G. Steinbach},
    title     = {Deep Learning for Surface Material Classification Using Haptic and
    Visual Information},
    journal   = {{IEEE} Transactions on Multimedia},
    volume    = {18},
    number    = {12},
    pages     = {2407--2416},
    year      = {2016},
    url       = {https://doi.org/10.1109/TMM.2016.2598140},
    doi       = {10.1109/TMM.2016.2598140},
    biburl    = {https://dblp.org/rec/journals/tmm/ZhengFJSOS16.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
    }