Bob L. T. Sturm
Citado por
Citado por
Music transcription modelling and composition using deep learning
BL Sturm, JF Santos, O Ben-Tal, I Korshunova
Proc. 1st Conference on Computer Simulation of Musical Creativity, 2016
Local interpretable model agnostic explanations for music content analysis
S Mishra, BL Sturm, S Dixon
Proc. ISMIR, 2017
Deep learning and music adversaries
C Kereliuk, BL Sturm, J Larsen
IEEE Transactions on Multimedia 17 (11), 2059-2071, 2015
A survey of evaluation in music genre recognition
BL Sturm
Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation 8382, 29-66, 2014
Classification accuracy is not enough: On the evaluation of music genre recognition systems
BL Sturm
Journal of Intelligent Information Systems, 2013
A Simple Method to Determine if a Music Information Retrieval System is a “Horse”
B Sturm
IEEE Trans. Multimedia 16 (6), 1636-1644, 2014
An analysis of the GTZAN music genre dataset
BL Sturm
Proceedings of the second international ACM workshop on Music information …, 2012
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
BL Sturm
arXiv preprint arXiv:1306.1461, 2013
Comparison of orthogonal matching pursuit implementations
BL Sturm, M Christensen
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th …, 2012
The state of the art ten years after a state of the art: Future research in music information retrieval
BL Sturm
Journal of new music research 43 (2), 147-172, 2014
Machine learning research that matters for music creation: A case study
BL Sturm, O Ben-Tal, Ú Monaghan, N Collins, D Herremans, E Chew, ...
Journal of New Music Research 48 (1), 36-55, 2019
Artificial intelligence and music: open questions of copyright law and engineering praxis
BLT Sturm, M Iglesias, O Ben-Tal, M Miron, E Gómez
Arts 8 (3), 115, 2019
Ensemble models for spoofing detection in automatic speaker verification
B Chettri, D Stoller, V Morfi, MAM Ramírez, E Benetos, BL Sturm
arXiv preprint arXiv:1904.04589, 2019
Ethical dimensions of music information retrieval technology
A Holzapfel, B Sturm, M Coeckelbergh
Transactions of the International Society for Music Information Retrieval 1 …, 2018
Taking the models back to music practice: Evaluating generative transcription models built using deep learning
BL Sturm, O Ben-Tal
Journal of Creative Music Systems 2, 32-60, 2017
Adaptive Concatenative Sound Synthesis and Its Application to Micromontage Compositior
BL Sturm
Computer Music Journal 30 (4), 46-66, 2006
MATConcat: An Application for Exploring Concatenative Sound Synthesis Using MATLAB.
BL Sturm
ICMC, 2004
Musical instrument identification using multiscale mel-frequency cepstral coefficients
BL Sturm, M Morvidone, L Daudet
Signal Processing Conference (EUSIPCO), 2010 Proceedings of the 18th European, 2010
A multimodal system for gesture recognition in interactive music performance
D Overholt, J Thompson, L Putnam, B Bell, J Kleban, B Sturm, ...
Computer Music Journal 33 (4), 69-82, 2009
Signals and systems using MATLAB: An integrated suite of applications for exploring and teaching media signal processing
BL Sturm, JD Gibson
Proceedings Frontiers in Education 35th Annual Conference, F2E-21, 2005
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Artículos 1–20