Bob L. Sturm
Title
Cited by
Cited by
Year
A survey of evaluation in music genre recognition
BL Sturm
Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation 8382, 29-66, 2014
1242014
A Simple Method to Determine if a Music Information Retrieval System is a “Horse”
B Sturm
IEEE Trans. Multimedia 16 (6), 1636-1644, 2014
1192014
Classification accuracy is not enough: On the evaluation of music genre recognition systems
BL Sturm
Journal of Intelligent Information Systems, 2013
1192013
An analysis of the GTZAN music genre dataset
BL Sturm
Proceedings of the second international ACM workshop on Music information …, 2012
1132012
Comparison of orthogonal matching pursuit implementations
BL Sturm, M Christensen
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th …, 2012
1132012
Deep learning and music adversaries
C Kereliuk, BL Sturm, J Larsen
IEEE Transactions on Multimedia 17 (11), 2059-2071, 2015
1002015
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
932016
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
842014
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
BL Sturm
arXiv preprint arXiv:1306.1461, 2013
752013
MATConcat: An Application for Exploring Concatenative Sound Synthesis Using MATLAB.
BL Sturm
ICMC, 2004
412004
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
382010
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
352005
Local interpretable model agnostic explanations for music content analysis
S Mishra, BL Sturm, S Dixon
Proc. ISMIR, 2017
342017
Adaptive concatenative sound synthesis and its application to micromontage composition
BL Sturm
Computer Music Journal 30 (4), 46-66, 2006
342006
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
332009
Analysis, visualization, and transformation of audio signals using dictionary-based methods
BL Sturm, C Roads, A McLeran, JJ Shynk
Journal of New Music Research 38 (4), 325-341, 2009
312009
Two systems for automatic music genre recognition: What are they really recognizing?
BL Sturm
Proceedings of the second international ACM workshop on Music information …, 2012
272012
On automatic music genre recognition by sparse representation classification using auditory temporal modulations
BL Sturm, P Noorzad
International Symposium on Computer Music Modeling and Retrieval, 2012
262012
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
252019
Dark energy in sparse atomic estimations
BL Sturm, JJ Shynk, L Daudet, C Roads
IEEE transactions on audio, speech, and language processing 16 (3), 671-676, 2008
252008
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