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Johan Pauwels
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2020 – today
- 2024
- [j4]Luca Turchet, Domenico Stefani, Johan Pauwels:
Musician-AI partnership mediated by emotionally-aware smart musical instruments. Int. J. Hum. Comput. Stud. 191: 103340 (2024) - [c19]James Bolt, Johan Pauwels, György Fazekas:
Multi-Signal Informed Attention for Beat and Downbeat Detection. IS2 2024: 1-7 - [i5]Chin-Yun Yu, Johan Pauwels, György Fazekas:
Time-of-arrival Estimation and Phase Unwrapping of Head-related Transfer Functions With Integer Linear Programming. CoRR abs/2405.06804 (2024) - [i4]Yannis Vasilakis, Rachel M. Bittner, Johan Pauwels:
I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognition. CoRR abs/2407.18058 (2024) - [i3]Yannis Vasilakis, Rachel M. Bittner, Johan Pauwels:
Evaluation of pretrained language models on music understanding. CoRR abs/2409.11449 (2024) - 2023
- [j3]Luca Turchet, Carlo Zanotto, Johan Pauwels:
"Give me happy pop songs in C major and with a fast tempo": A vocal assistant for content-based queries to online music repositories. Int. J. Hum. Comput. Stud. 173: 103007 (2023) - [c18]Johan Pauwels, Lorenzo Picinali:
On the Relevance of the Differences Between HRTF Measurement Setups for Machine Learning. ICASSP 2023: 1-5 - [c17]Jeff Miller, Johan Pauwels, Mark Sandler:
Polar Manhattan Displacement: Measuring Tonal Distances Between Chords Based on Intervallic Content. ISMIR 2023: 868-874 - [e1]Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels:
Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. 2023, ISBN 978-1-7327299-3-3 [contents] - 2022
- [j2]Luca Turchet, Johan Pauwels:
Music Emotion Recognition: Intention of Composers-Performers Versus Perception of Musicians, Non-Musicians, and Listening Machines. IEEE ACM Trans. Audio Speech Lang. Process. 30: 305-316 (2022) - [i2]Johan Pauwels, Lorenzo Picinali:
On The Relevance Of The Differences Between HRTF Measurement Setups For Machine Learning. CoRR abs/2212.04283 (2022) - 2021
- [c16]Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler:
The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs. ESWC 2021: 515-531 - 2020
- [j1]Luca Turchet, Johan Pauwels, Carlo Fischione, György Fazekas:
Cloud-smart Musical Instrument Interactions: Querying a Large Music Collection with a Smart Guitar. ACM Trans. Internet Things 1(3): 15:1-15:29 (2020) - [d2]Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Fabrice Jauvat, Elmahdi Korfed, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler:
The WASABI RDF Knowledge Graph. Version 1.0. Zenodo, 2020 [all versions] - [d1]Michel Buffa, Elena Cabrio, Michael Fell, Fabien Gandon, Alain Giboin, Romain Hennequin, Fabrice Jauvat, Elmahdi Korfed, Franck Michel, Johan Pauwels, Guillaume Pellerin, Maroua Tikat, Marco Winckler:
The WASABI Dataset and RDF Knowledge Graph. Version 2.0. Zenodo, 2020 [all versions] - [i1]Johan Pauwels, György Fazekas, Mark B. Sandler:
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. CoRR abs/2001.06086 (2020)
2010 – 2019
- 2019
- [c15]Dalia Senvaityte, Johan Pauwels, Mark B. Sandler:
Guitar String Separation Using Non-Negative Matrix Factorization and Factor Deconvolution. Audio Mostly Conference 2019: 239-243 - [c14]Johan Pauwels, Ken O'Hanlon, Emilia Gómez, Mark B. Sandler:
20 Years of Automatic Chord Recognition from Audio. ISMIR 2019: 54-63 - [c13]Johan Pauwels, Mark B. Sandler:
A Web-Based System For Suggesting New Practice Material To Music Learners Based On Chord Content. IUI Workshops 2019 - 2018
- [c12]Anna Xambó, Johan Pauwels, Gerard Roma, Mathieu Barthet, György Fazekas:
Jam with Jamendo: Querying a Large Music Collection by Chords from a Learner's Perspective. Audio Mostly Conference 2018: 30:1-30:7 - [c11]Qingyang Xi, Rachel M. Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello:
GuitarSet: A Dataset for Guitar Transcription. ISMIR 2018: 453-460 - 2017
- [c10]Ken O'Hanlon, Sebastian Ewert, Johan Pauwels, Mark B. Sandler:
Improved template based chord recognition using the CRP feature. ICASSP 2017: 306-310 - [c9]Johan Pauwels, Ken O'Hanlon, György Fazekas, Mark B. Sandler:
Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. ISMIR 2017: 279-285 - 2014
- [c8]John Ashley Burgoyne, W. Bas de Haas, Johan Pauwels:
On Comparative Statistics for Labelling Tasks: What can We Learn from MIREX ACE 2013? ISMIR 2014: 525-530 - 2013
- [c7]Johan Pauwels, Geoffroy Peeters:
Evaluating automatically estimated chord sequences. ICASSP 2013: 749-753 - [c6]Johan Pauwels, Florian Kaiser, Geoffroy Peeters:
Combining Harmony-Based and Novelty-Based Approaches for Structural Segmentation. ISMIR 2013: 601-606 - [c5]Johan Pauwels, Geoffroy Peeters:
Segmenting music through the joint estimation of keys, chords and structural boundaries. ACM Multimedia 2013: 741-744 - 2011
- [c4]Johan Pauwels, Jean-Pierre Martens, Marc Leman:
Improving the key extraction performance of a simultaneous local key and chord estimation system. ICME 2011: 1-6 - [c3]Johan Pauwels, Jean-Pierre Martens, Marc Leman:
The Influence of Chord Duration Modeling on Chord and Local Key Extraction. ICMLA (2) 2011: 136-141 - [c2]Johan Pauwels, Jean-Pierre Martens, Marc Leman:
Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction. MLSP 2011: 1-6
2000 – 2009
- 2008
- [c1]Matthias Varewyck, Johan Pauwels, Jean-Pierre Martens:
A novel chroma representation of polyphonic music based on multiple pitch tracking techniques. ACM Multimedia 2008: 667-670
Coauthor Index
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