Jan Schlüter

Intelligent Music Processing and Machine Learning Group

Moved

Since February 2020, I am a university assistant at the Johannes Kepler University Linz, at the Institute of Computational Perception, where I also have a personal homepage.

Contact

Email	jan.schlueter ... ofai.at
Phone	(+43-1)5336112-23
Fax	(+43-1)5336112-77
Address	Austrian Research Institute for Artificial Intelligence Freyung 6/6 A-1010 Vienna Austria

Research Interests

• Convolutional neural networks and deep learning
• Acoustic sequence labeling and event detection
• Weakly-labeled data and multiple-instance learning
• Differentiable time-frequency representations

Publications

Conferences and Journals

• Oriol Nieto, Gautham J. Mysore, Cheng-i Wang, Jordan B. L. Smith, Jan Schlüter,Thomas Grill, and Brian McFee: Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications. Transactions of the International Society for Music Information Retrieval, 3(1), pp.246–263, 2020. (DOI, BibTeX)
• Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-Yiin Chang, and Tara N. Sainath: Deep Learning for Audio Signal Processing. IEEE Journal of Selected Topics in Signal Processing, 2019. (PDF, BibTeX)
• Marion Poupard, Maxence Ferrari, Jan Schlüter, Ricard Marxer, Pascale Giraudet, Valentin Barchasz, Valentin Giès, Gianni Pavan, and Hervé Glotin: Real-time Passive Acoustic 3D Tracking of Deep Diving Cetacean by Small Non-uniform Mobile Surface Antenna. In Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, 2019. (doi, BibTeX)
• Jan Schlüter and Bernhard Lehner: Zero-Mean Convolutions for Level-Invariant Singing Voice Detection. In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France, 2018. (PDF, BibTeX, code)
• Bernhard Lehner, Jan Schlüter, and Gerhard Widmer: Online, Loudness-Invariant Vocal Detection in Mixed Music Signals. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018. (PDF, BibTeX)
• Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, and Gerhard Widmer: End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. International Journal of Multimedia Information Retrieval, 2018. (PDF, BibTeX)
• Thomas Grill and Jan Schlüter: Two Convolutional Neural Networks for Bird Detection in Audio Signals. In Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, 2017. (PDF, BibTeX)
• Jan Schlüter: Learning to Pinpoint Singing Voice from Weakly Labeled Examples. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), New York, USA, 2016. Best oral presentation award. (PDF, BibTeX, www)
• Jan Schlüter and Thomas Grill: Exploring Data Augmentation for Improved Singing Voice Detection with Neural Networks. In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, Spain, 2015. (PDF, BibTeX, code)
• Thomas Grill and Jan Schlüter: Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations. In Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, Spain, 2015. (PDF, BibTeX, www)
• Thomas Grill and Jan Schlüter: Music Boundary Detection Using Neural Networks on Spectrograms and Self-Similarity Lag Matrices. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, 2015. (PDF, BibTeX, www)
• Karen Ullrich, Jan Schlüter, and Thomas Grill: Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. In Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014), Taipei, Taiwan, 2014. (PDF, BibTeX, www, talk)
• Jan Schlüter and Sebastian Böck: Improved Musical Onset Detection with Convolutional Neural Networks. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, 2014. (PDF, BibTeX, www)
• Jan Schlüter: Learning Binary Codes for Efficient Large-Scale Music Similarity Search. In Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, 2013. (PDF, BibTeX)
• Dominik Schnitzer, Arthur Flexer, and Jan Schlüter: The Relation of Hubs to the Doddington Zoo in Speaker Verification. In Proceedings of the 21st European Signal Processing Conference (EUSIPCO 2013), Marrakech, Morocco, 2013. (PDF, BibTeX)
• Bogdan Ionescu, Jan Schlüter, Ionuţ Mironică, and Markus Schedl: A Naïve Mid-level Concept-based Fusion Approach to Violence Detection in Hollywood Movies. In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR'13), Dallas, Texas, USA, 2013. (PDF, BibTeX)
• Arthur Flexer, Dominik Schnitzer, and Jan Schlüter: A MIREX Meta-analysis of Hubness in Audio Music Similarity. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), Porto, Portugal, 2012. Best paper award. (PDF, BibTeX)
• Jan Schlüter and Reinhard Sonnleitner: Unsupervised Feature Learning for Speech and Music Detection in Radio Broadcasts. In Proceedings of the 15th International Conference on Digital Audio Effects (DAFx-12), York, UK, 2012. (PDF, BibTeX)
• Reinhard Sonnleitner, Bernhard Niedermayer, Gerhard Widmer, and Jan Schlüter: A Simple and Effective Spectral Feature for Speech Detection in Mixed Audio Signals. In Proceedings of the 15th International Conference on Digital Audio Effects (DAFx-12), York, UK, 2012. (PDF, BibTeX)
• Jan Schlüter and Christian Osendorfer: Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine. In Proceedings of the 10th International Conference on Machine Learning and Applications (ICMLA 2011), Honolulu, USA, 2011. (PDF, BibTeX)

Workshops

• Jan Schlüter: Bird Identification from Timestamped, Geotagged Audio Recordings. In Working Notes of CLEF, Avignon, France, 2018. (PDF, BibTeX, code)
• Jan Schlüter and Sebastian Böck: Musical Onset Detection with Convolutional Neural Networks. In 6th International Workshop on Machine Learning and Music (MML) in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Prague, Czech Republic, 2013. (PDF, BibTeX)
• Jan Schlüter, Bogdan Ionescu, Ionuţ Mironică, and Markus Schedl: ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywood Movies. In MediaEval 2012 Workshop, Pisa, Italy, 2012. (PDF, BibTeX)
• Bogdan Ionescu, Ionuţ Mironică, Klaus Seyerlehner, Peter Knees, Jan Schlüter, Markus Schedl, Horia Cucu, Andi Buzo, and Patrick Lambert: ARF @ MediaEval 2012: Multimodal Video Classification. In MediaEval 2012 Workshop, Pisa, Italy, 2012. (PDF, BibTeX)
• Christian Osendorfer, Jan Schlüter, Jürgen Schmidhuber, and Patrick van der Smagt: Unsupervised learning of low-level audio features for music similarity estimation. In Workshop on Learning Architectures, Representations, and Optimization for Speech and Visual Information Processing in conjunction with the 28th International Conference on Machine Learning (ICML 2011), Washington, USA, 2011. (PDF, BibTeX)
• Lawrence Cabac, Kolja Markwardt, and Jan Schlüter: ImageNetDiff: Finding Differences in Models. In Proceedings of the 7th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems (MSVVEIS-2009) in conjunction with the 12th International Conference on Enterprise Information Systems (ICEIS 2009), Milan, Italy, 2009. (BibTeX)
• Jan Schlüter, Lawrence Cabac, and Daniel Moldt: Adding Runtime Net Manipulation Features to MulanViewer. In Proceedings of the 15th German Workshop on Algorithms and Tools for Petri Nets (AWPN 2008), Rostock, Germany, 2008. (PDF, BibTeX)

Theses

• Jan Schlüter: Deep Learning for Event Detection, Sequence Labelling and Similarity Estimation in Music Signals. PhD Thesis, Johannes Kepler University Linz, Austria, 2017. (PDF, BibTeX, code)
• Jan Schlüter: Unsupervised Audio Feature Extraction for Music Similarity Estimation. Master Thesis, Technische Universität München, Munich, Germany, 2011. (PDF, BibTeX)
• Jan Schlüter: Accelerating the Debugging Process within a Development Environment for Multiagent Systems. Bachelor Thesis, University of Hamburg, Hamburg, Germany, 2008.