International Audio Laboratories Erlangen

Publications

  1. Michael Krause
    Activity Detection for Sound Events in Orchestral Music Recordings
    PhD Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023. PDF Details 
    @phdthesis{Krause23_Thesis_PhD,
author      = {Michael Krause},
title       = {Activity Detection for Sound Events in Orchestral Music Recordings},
type        = {doctoralthesis},
pages       = {166},
school      = {Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg (FAU)},
address     = {Erlangen, Germany},
year        = {2023},
url-pdf     = {https://www.audiolabs-erlangen.de/fau/assistant/krause/publications/2023_Krause_Thesis_PhD_Final.pdf},
url-details = {https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/23629}
}
  2. Michael Krause, Sebastian Strahl, and Meinard Müller
    Weakly Supervised Multi-Pitch Estimation Using Cross-Version Alignment
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2023. Details 
    @inproceedings{KrauseSM23_WeaklySupervisedMPE_ISMIR,
address          = {Milano, Italy},
author           = {Michael Krause and Sebastian Strahl and Meinard M{\"u}ller},
booktitle        = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
title            = {Weakly Supervised Multi-Pitch Estimation Using Cross-Version Alignment},
year             = {2023},
url-details      = {https://www.audiolabs-erlangen.de/resources/MIR/2023-ISMIR-WeaklySupervisedMPE}
}
  3. Michael Krause, Christof Weiß, and Meinard Müller
    A Cross-Version Approach to Audio Representation Learning for Orchestral Music
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2023. Details 
    @inproceedings{KrauseWM23_CrossVersionLearning_ISMIR,
address          = {Milano, Italy},
author           = {Michael Krause and Christof Wei{\ss} and Meinard M{\"u}ller},
booktitle        = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
title            = {A Cross-Version Approach to Audio Representation Learning for Orchestral Music},
year             = {2023},
url-details      = {https://www.audiolabs-erlangen.de/resources/MIR/2023-ISMIR-CrossVersionLearning}
}
  4. Johannes Zeitler, Simon Deniffel, Michael Krause, and Meinard Müller
    Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2023. 
    @inproceedings{ZeitlerDKM23_StabilizingSDTW_ISMIR,
address          = {Milano, Italy},
author           = {Johannes Zeitler and Simon Deniffel and Michael Krause and Meinard M{\"u}ller},
booktitle        = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
title            = {Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets},
year             = {2023}
}
  5. Michael Krause, Meinard Müller, and Christof Weiß
    Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings
    IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 31: 2567–2578, 2023. PDF Details DOI 
    @article{KrauseM23_HierarchicalInstrumentClass_TASLP,
title       = {Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings},
author      = {Michael Krause and Meinard M{\"u}ller and Christof Wei{\ss}},
journal     = {{IEEE/ACM} Transactions on Audio, Speech, and Language Processing ({TASLP})},
year        = {2023},
doi         = {10.1109/TASLP.2023.3291506},
volume      = {31},
pages       = {2567--2578},
url-pdf     = {https://ieeexplore.ieee.org/document/10171391},
url-details = {https://www.audiolabs-erlangen.de/resources/MIR/2023-TASLP-HierarchicalInstrumentClass}
}
  6. Michael Krause, Christof Weiß, and Meinard Müller
    Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. PDF Details DOI 
    @inproceedings{KrauseWM23_SoftDTWForMPE_ICASSP,
author    = {Michael Krause and Christof Wei{\ss} and Meinard M{\"u}ller},
title     = {Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond},
booktitle = {Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing ({ICASSP})},
address   = {Rhodes Island, Greece},
doi       = {10.1109/ICASSP49357.2023.10095907},
year      = {2023},
url-pdf   = {https://ieeexplore.ieee.org/document/10095907},
url-details = {https://github.com/groupmm/softdtw_for_mpe}
}
  7. Michael Krause and Meinard Müller
    Hierarchical Classification of Singing Activity, Gender, and Type in Complex Music Recordings
    In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): 406–410, 2022. PDF DOI 
    @inproceedings{KrauseM22_HierarchicalClassificationSinging_ICASSP,
author           = {Michael Krause and Meinard M{\"u}ller},
title            = {Hierarchical Classification of Singing Activity, Gender, and Type in Complex Music Recordings},
booktitle        = {Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing ({ICASSP})},
address          = {Singapore},
pages            = {406--410},
doi              = {10.1109/ICASSP43922.2022.9747690},
year             = {2022},
url-pdf          = {https://ieeexplore.ieee.org/document/9747690}
}
  8. Michael Krause, Meinard Müller, and Christof Weiß
    Towards Leitmotif Activity Detection in Opera Recordings
    Transactions of the International Society for Music Information Retrieval (TISMIR), 4(1): 127–140, 2021. PDF Details DOI 
    @article{KrauseMW21_TowardsLeitmotifDetection_TISMIR,
title       = {Towards Leitmotif Activity Detection in Opera Recordings},
author      = {Michael Krause and Meinard M{\"u}ller and Christof Wei{\ss}},
journal     = {Transactions of the International Society for Music Information Retrieval ({TISMIR})},
volume      = {4},
number      = {1},
year        = {2021},
pages       = {127--140},
doi         = {10.5334/tismir.116},
url         = {https://transactions.ismir.net/articles/10.5334/tismir.116/},
url-pdf     = {https://doi.org/10.5334/tismir.116},
url-details = {https://www.audiolabs-erlangen.de/resources/MIR/2021-TISMIR-TowardsLeitmotifDetection}
}
  9. 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     = {https://www.audiolabs-erlangen.de/fau/assistant/oezer/publications/2021_OezerKM_SyncSpecFlux_ISMIR-LBD.pdf},
url-presentation = {https://www.audiolabs-erlangen.de/fau/assistant/oezer/publications/2021_OezerKM_SyncSpecFlux_ISMIR-LBD_Poster.pdf}
}
  10. 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 Details DOI 
    @article{MuellerOKPD21_synctoolbox_JOSS,
author    = {Meinard M{\"u}ller and Yigitcan {\"O}zer and Michael Krause and Thomas Prätzlich and Jonathan Driedger},
title     = {Sync Toolbox: A Python 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   = {https://www.theoj.org/joss-papers/joss.03434/10.21105.joss.03434.pdf},
url-details  = {https://github.com/meinardmueller/synctoolbox}
}
  11. Michael Krause, Meinard Müller, and Christof Weiß
    Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization
    Electronics, 10(10): 1–14, 2021. PDF DOI 
    @article{KrauseMW21_OperaSingingActivity_Electronics,
author    = {Michael Krause and Meinard M{\"u}ller and Christof Wei{\ss}},
title     = {Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization},
journal   = {Electronics},
volume    = {10},
number    = {10},
pages     = {1214:1--14},
year      = {2021},
doi       = {10.3390/electronics10101214},
url-pdf   = {https://www.mdpi.com/2079-9292/10/10/1214/pdf}
}
  12. Michael Krause, Frank Zalkow, Julia Zalkow, Christof Weiß, and Meinard Müller
    Classifying Leitmotifs in Recordings of Operas by Richard Wagner
    In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR): 473–480, 2020. PDF Details Presentation 
    @inproceedings{KrauseZZWM20_LeitmotifClassification_ISMIR,
address          = {Montr{\'{e}}al, Canada},
author           = {Michael Krause and Frank Zalkow and Julia Zalkow and Christof Wei{\ss} and Meinard M{\"u}ller},
booktitle        = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})},
pages            = {473--480},
title            = {Classifying Leitmotifs in Recordings of Operas by {R}ichard {W}agner},
year             = {2020},
url-pdf          = {https://program.ismir2020.net/static/final_papers/19.pdf},
url-presentation = {https://program.ismir2020.net/static/posters/19.pdf},
url-details      = {https://www.audiolabs-erlangen.de/resources/MIR/2020-ISMIR-LeitmotifClassification}
}
  13. Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe
    MOTS: Multi-Object Tracking and Segmentation
    In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. PDF Details 
    @inproceedings{VoigtlaenderKOLSGL19_MOTS_CVPR,
author    = {Paul Voigtlaender and Michael Krause and Aljosa Osep and Jonathon Luiten and Berin Balachandar Gnana Sekar and Andreas Geiger and Bastian Leibe},
title     = {{MOTS}: Multi-Object Tracking and Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
address   = {Long Beach, {CA}},
month     = {June},
year      = {2019},
url-pdf   = {http://openaccess.thecvf.com/content_CVPR_2019/papers/Voigtlaender_MOTS_Multi-Object_Tracking_and_Segmentation_CVPR_2019_paper.pdf},
url-details = {https://www.vision.rwth-aachen.de/page/mots},
}
  14. Michael Krause and Elena Natterer
    Maschinelles Lernen
    In Kristian Kersting and Christoph Lampert and Constantin Rothkopf (ed.): Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, Springer: 21–27, 2019. Details 
    @incollection{KerstingLR19_WieMaschinenLernenML_Springer,
author    = {Michael Krause and Elena Natterer}
editor    = {Kristian Kersting and Christoph Lampert and Constantin Rothkopf},
booktitle = {Wie Maschinen lernen: K{\"u}nstliche Intelligenz verst{\"a}ndlich erkl{\"a}rt},
pages     = {21--27},
title     = {Maschinelles Lernen},
publisher = {Springer},
year      = {2019},
isbn      = {978-3-658-26762-9},
url-details = {https://doi.org/10.1007/978-3-658-26763-6_3}
}
  15. Justin Fehrling and Michael Krause
    Bayesregel
    In Kristian Kersting and Christoph Lampert and Constantin Rothkopf (ed.): Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, Springer: 185–194, 2019. Details 
    @incollection{KerstingLR19_WieMaschinenLernenBayes_Springer,
author    = {Justin Fehrling and Michael Krause}
editor    = {Kristian Kersting and Christoph Lampert and Constantin Rothkopf},
booktitle = {Wie Maschinen lernen: K{\"u}nstliche Intelligenz verst{\"a}ndlich erkl{\"a}rt},
pages     = {185--194},
title     = {Bayesregel},
publisher = {Springer},
year      = {2019},
isbn      = {978-3-658-26762-9},
url-details = {https://doi.org/10.1007/978-3-658-26763-6_24}
}