| Exploring data augmentation for improved singing voice detection with neural networks. J Schlüter, T Grill ISMIR, 121-126, 2015 | 297 | 2015 |
| Boundary Detection in Music Structure Analysis using Convolutional Neural Networks K Ullrich, J Schlüter, T Grill 15th International Society for Music Information Retrieval Conference (ISMIR …, 2014 | 185 | 2014 |
| Two convolutional neural networks for bird detection in audio signals T Grill, J Schlüter 2017 25th European Signal Processing Conference (EUSIPCO), 1764-1768, 2017 | 143 | 2017 |
| Constructing an invertible constant-Q transform with nonstationary gabor frames GA Velasco, N Holighaus, M Dörfler, T Grill 14th International Conference on Digital Audio Effects (DAFx 11), 93-99, 2011 | 139 | 2011 |
| A framework for invertible, real-time constant-Q transforms N Holighaus, M Dörfler, GA Velasco, T Grill IEEE Transactions on Audio, Speech, and Language Processing 21 (4), 775-785, 2012 | 138 | 2012 |
| Inside the spectrogram: Convolutional Neural Networks in audio processing M Dörfler, R Bammer, T Grill 2017 international conference on sampling theory and applications (SampTA …, 2017 | 81 | 2017 |
| Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations. T Grill, J Schlüter ISMIR, 531-537, 2015 | 80 | 2015 |
| The problem of limited inter-rater agreement in modelling music similarity A Flexer, T Grill Journal of new music research 45 (3), 239-251, 2016 | 76 | 2016 |
| Audio-based music structure analysis: Current trends, open challenges, and applications O Nieto, GJ Mysore, C Wang, JBL Smith, J Schlüter, T Grill, B McFee Transactions of the International Society for Music Information Retrieval 3 (1), 2020 | 70 | 2020 |
| Music boundary detection using neural networks on spectrograms and self-similarity lag matrices T Grill, J Schluter 2015 23rd European Signal Processing Conference (EUSIPCO), 1296-1300, 2015 | 46 | 2015 |
| Identification of perceptual qualities in textural sounds using the repertory grid method T Grill, A Flexer, S Cunningham 6th Audio Mostly Conference (AM '11), 67-74, 2011 | 44 | 2011 |
| Visualization of perceptual qualities in textural sounds T Grill, A Flexer Proceedings of the International Computer Music Conference (ICMC 2012 …, 2012 | 43 | 2012 |
| Elastic relaxation of dry-etched Si/SiGe quantum dots AA Darhuber, T Grill, J Stangl, G Bauer, DJ Lockwood, JP Noël, PD Wang, ... Physical Review B 58 (8), 4825, 1998 | 29 | 1998 |
| Basic filters for convolutional neural networks applied to music: Training or design? M Dörfler, T Grill, R Bammer, A Flexer Neural Computing and Applications 32 (4), 941-954, 2020 | 28 | 2020 |
| On Automated Annotation of Acousmatic Music V Klien, T Grill, A Flexer Journal of New Music Research 41 (2), 153-173, 2012 | 18 | 2012 |
| Constructing high-level perceptual audio descriptors for textural sounds T Grill Proceedings of the 9th Sound and Music Computing Conference (SMC 2012 …, 2012 | 16 | 2012 |
| Perceptually informed organization of textural sounds T Grill | 16 | 2012 |
| Structural segmentation with convolutional neural networks MIREX submission T Grill, J Schlüter Proceedings of the Music Information Retrieval Evaluation eXchange (MIREX), 3, 2015 | 15 | 2015 |
| Structural segmentation with convolutional neural networks mirex submission J Schlüter, K Ullrich, T Grill Tenth running of the Music Information Retrieval Evaluation eXchange (MIREX …, 2014 | 15 | 2014 |
| Hubness as a case of technical algorithmic bias in music recommendation A Flexer, M Dörfler, J Schlüter, T Grill 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1062-1069, 2018 | 13 | 2018 |
Jan SchlüterJohannes Kepler University Linz (JKU)jku.at의 이메일 확인됨
