Thomas Grill
Thomas Grill
University of Music and Performing Arts Vienna
Verified email at - Homepage
Cited by
Cited by
Exploring data augmentation for improved singing voice detection with neural networks.
J Schlüter, T Grill
ISMIR, 121-126, 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
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
Two convolutional neural networks for bird detection in audio signals
T Grill, J Schlüter
2017 25th European Signal Processing Conference (EUSIPCO), 1764-1768, 2017
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
Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations.
T Grill, J Schlüter
ISMIR, 531-537, 2015
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
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
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
Trans. Int. Soc. Music. Inf. Retr. 3 (1), 246-263, 2020
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
Visualization of perceptual qualities in textural sounds
T Grill, A Flexer
Proceedings of the International Computer Music Conference (ICMC 2012 …, 2012
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
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
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
On Automated Annotation of Acousmatic Music
V Klien, T Grill, A Flexer
Journal of New Music Research 41 (2), 153-173, 2012
Constructing high-level perceptual audio descriptors for textural sounds
T Grill
Proceedings of the 9th Sound and Music Computing Conference (SMC 2012 …, 2012
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
Structural segmentation with convolutional neural networks MIREX submission
T Grill, J Schlüter
Proceedings of the Music Information Retrieval Evaluation eXchange (MIREX), 3, 2015
Perceptually informed organization of textural sounds
T Grill
munger1: Towards a cross-platform swiss-army knife of real-time granular synthesis
II Bukvic, J Kim, D Trueman, T Grill
International Computer Music Conference (ICMC 2007), 2007
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