Scholar
Jan Schlüter
Google Scholar ID: AjmDxgoAAAAJ
Johannes Kepler University Linz (JKU)
Citations & Impact
Citations
3,585
H-index
21
i10-index
30
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Research Experience
- Since February 2020, a university assistant at the Johannes Kepler University Linz, Institute of Computational Perception, with a personal homepage.
Background
- Research interests include convolutional neural networks and deep learning, acoustic sequence labeling and event detection, weakly-labeled data and multiple-instance learning, and differentiable time-frequency representations.
Co-authors