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Thomas Grill
Thomas Grill
University of Music and Performing Arts Vienna
Zweryfikowany adres z mdw.ac.at - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Exploring data augmentation for improved singing voice detection with neural networks.
J Schlüter, T Grill
ISMIR, 121-126, 2015
2952015
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
1772014
Two convolutional neural networks for bird detection in audio signals
T Grill, J Schlüter
2017 25th European Signal Processing Conference (EUSIPCO), 1764-1768, 2017
1422017
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
1402011
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
1382012
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
822017
Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations.
T Grill, J Schlüter
ISMIR, 531-537, 2015
772015
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
722016
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
672020
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
452011
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
442015
Visualization of perceptual qualities in textural sounds
T Grill, A Flexer
Proceedings of the International Computer Music Conference (ICMC 2012 …, 2012
432012
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
292020
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
291998
On Automated Annotation of Acousmatic Music
V Klien, T Grill, A Flexer
Journal of New Music Research 41 (2), 153-173, 2012
192012
Constructing high-level perceptual audio descriptors for textural sounds
T Grill
Proceedings of the 9th Sound and Music Computing Conference (SMC 2012 …, 2012
172012
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
152014
Structural segmentation with convolutional neural networks MIREX submission
T Grill, J Schlüter
Proceedings of the Music Information Retrieval Evaluation eXchange (MIREX), 3, 2015
142015
Perceptually informed organization of textural sounds
T Grill
142012
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
112018
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