Bob L. Sturm - Citegraph

Author Info

Name	Affiliation	Papers
BOB L. STURM	Aalborg Univ, Audio Anal Lab, Dept Architecture Design & Media Technol, AC Meyers Vaenge 15, DK-2450 Copenhagen, Denmark	61
Collaborators	Citations	PageRank
73	241	29.88
Referers	Referees	References
418	1033	831

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Publications (61 rows)

Collaborators (73 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Ensemble Models for Spoofing Detection in Automatic Speaker Verification.	1	0.35	2019
Characterising Confounding Effects in Music Classification Experiments through Interventions.	0	0.34	2019
Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing.	0	0.34	2019
Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System.	0	0.34	2018
Understanding a Deep Machine Listening Model Through Feature Inversion.	0	0.34	2018
ANALYSING REPLAY SPOOFING COUNTERMEASURE PERFORMANCE UNDER VARIED CONDITIONS	0	0.34	2018
"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems.	0	0.34	2018
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing.	0	0.34	2018
Ethical Dimensions of Music Information Retrieval Technology.	0	0.34	2018
Exploring Trends in Trinidad Steelband Music Through Computational Ethnomusicology.	0	0.34	2017
Local Interpretable Model-Agnostic Explanations for Music Content Analysis.	2	0.40	2017
The "Beyond the Fence" Musical and "Computer Says Show" Documentary.	0	0.34	2016
Music transcription modelling and composition using deep learning.	1	0.35	2016
Analysing Scattering-Based Music Content Analysis Systems: Where's the Music?.	3	0.40	2016
The "Horse" Inside: Seeking Causes Behind the Behaviours of Music Content Analysis Systems.	0	0.34	2016
Revisiting Priorities: Improving MIR Evaluation Practices.	2	0.42	2016
¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity	1	0.46	2015
A Simple Method to Determine if a Music Information Retrieval System is a “Horse”	24	1.23	2014
A closer look at deep learning neural networks with low-level spectral periodicity features	3	0.41	2014
Formalizing the Problem of Music Description.	2	0.43	2014
Sound and music computing at Aalborg University in Copenhagen	0	0.34	2014
The Kiki-Bouba Challenge: Algorithmic Composition for Content-based MIR Research and Development.	1	0.39	2014
On Evaluation Validity in Music Autotagging.	3	0.39	2014
On music genre classification via compressive sampling.	2	0.36	2013
Behavior of greedy sparse representation algorithms on nested supports	3	0.55	2013
On Theorem 10 in “On Polar Polytopes and the Recovery of Sparse Representations” [Sep 07 3188-3195]	0	0.34	2013
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use.	13	1.01	2013
Music genre recognition with risk and rejection	3	0.40	2013
Classification accuracy is not enough - On the evaluation of music genre recognition systems.	5	0.48	2013
Making Explicit the Formalism Underlying Evaluation in Music Information Retrieval Research: A Look at the MIREX Automatic Mood Classification Task.	5	0.50	2013
Revisiting Inter-Genre Similarity	0	0.34	2013
Evaluating music emotion recognition: Lessons from music genre recognition?	8	0.55	2013
Two systems for automatic music genre recognition: what are they really recognizing?	14	0.56	2012
Regression with sparse approximations of data.	0	0.34	2012
A Survey of Evaluation in Music Genre Recognition	28	1.30	2012
An analysis of the GTZAN music genre dataset	29	1.16	2012
When "exact recovery" is exact recovery in compressed sensing simulation.	0	0.34	2012
Comparison of orthogonal matching pursuit implementations	23	0.95	2012
A perceptually reweighted mixed-norm method for sparse approximation of audio signals	2	0.50	2011
Sound Cross-synthesis and Morphing Using Dictionary-based Methods	1	0.38	2011
Cyclic pure greedy algorithms for recovering compressively sampled sparse signals	9	0.70	2011
Recursive nearest neighbor search in a sparse and multiscale domain for comparing audio signals	0	0.34	2011
A Study on Sparse Vector Distributions and Recovery from Compressed Sensing	2	0.46	2011
Musical instrument identification using multiscale Mel-frequency cepstral coefficients	8	0.65	2010
Sparse approximation and the pursuit of meaningful signal models with interference adaptation	5	0.76	2010
Incorporating scale information with cepstral features: Experiments on musical instrument recognition	3	0.48	2010
Detection and estimation of arrivals in room impulse responses by greedy sparse approximation	1	0.41	2010
On similarity search in audio signals using adaptive sparse approximations	2	0.40	2009
A multimodal system for gesture recognition in interactive music performance	6	0.56	2009
Pruning Sparse Signal Models Using Interference	0	0.34	2009

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