Bob L. T. Sturm

Orcid: 0000-0003-2549-6367

Affiliations:
  • KTH Royal Institute of Technology, Stockholm


According to our database1, Bob L. T. Sturm authored at least 86 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

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Online presence:

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Bibliography

2024
The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

2023
Beyond Diverse Datasets: Responsible MIR, Interdisciplinarity, and the Fractured Worlds of Music.
Trans. Int. Soc. Music. Inf. Retr., January, 2023

Retrieval Augmented Generation of Symbolic Music with LLMs.
CoRR, 2023

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input.
CoRR, 2023

Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation.
CoRR, 2023

Validity in Music Information Research Experiments.
CoRR, 2023

A Review of Validity and Its Relationship to Music Information Research.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

2022
Editorial for TISMIR Special Collection: AI and Musical Creativity.
Trans. Int. Soc. Music. Inf. Retr., 2022

Audio Latent Space Cartography.
CoRR, 2022

TimbreCLIP: Connecting Timbre to Text and Images.
CoRR, 2022

Tradformer: A Transformer Model of Traditional Music Transcriptions.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Investigating the Relationship Between Liking and Belief in AI Authorship in the Context of Irish Traditional Music.
Proceedings of the 1st Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
De-centering the West: East Asian Philosophies and the Ethics of Applying Artificial Intelligence to Music.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
Dataset Artefacts in Anti-Spoofing Systems: A Case Study on the ASVspoof 2017 Benchmark.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Reliable Local Explanations for Machine Listening.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Characterising Confounding Effects in Music Classification Experiments through Interventions.
Trans. Int. Soc. Music. Inf. Retr., 2019

Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing.
IEEE J. Sel. Top. Signal Process., 2019

GAN-based Generation and Automatic Selection of Explanations for Neural Networks.
CoRR, 2019

Ensemble Models for Spoofing Detection in Automatic Speaker Verification.
Proceedings of the Interspeech 2019, 2019

2018
Ethical Dimensions of Music Information Retrieval Technology.
Trans. Int. Soc. Music. Inf. Retr., 2018

A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing.
CoRR, 2018

Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Analysing Replay Spoofing Countermeasure Performance under varied conditions.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Understanding a Deep Machine Listening Model Through Feature Inversion.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Local Interpretable Model-Agnostic Explanations for Music Content Analysis.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Exploring Trends in Trinidad Steelband Music Through Computational Ethnomusicology.
Proceedings of the Music Technology with Swing - 13th International Symposium, 2017

2016
Music transcription modelling and composition using deep learning.
CoRR, 2016

The "Horse" Inside: Seeking Causes Behind the Behaviours of Music Content Analysis Systems.
CoRR, 2016

The "Horse" Inside: Seeking Causes Behind the Behaviors of Music Content Analysis Systems.
Comput. Entertain., 2016

Revisiting Priorities: Improving MIR Evaluation Practices.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Analysing Scattering-Based Music Content Analysis Systems: Where's the Music?.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

The "Beyond the Fence" Musical and "Computer Says Show" Documentary.
Proceedings of the Seventh International Conference on Computational Creativity, 2016

2015
Deep Learning and Music Adversaries.
IEEE Trans. Multim., 2015

Deep learning, audio adversaries, and music content analysis.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity.
Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

2014
A Simple Method to Determine if a Music Information Retrieval System is a "Horse".
IEEE Trans. Multim., 2014

On Evaluation Validity in Music Autotagging.
CoRR, 2014

The Kiki-Bouba Challenge: Algorithmic Composition for Content-based MIR Research and Development.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Formalizing the Problem of Music Description.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Sound and Music Computing at Aalborg University in Copenhagen.
Proceedings of the Music Technology meets Philosophy, 2014

A closer look at deep learning neural networks with low-level spectral periodicity features.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
On Theorem 10 in "On Polar Polytopes and the Recovery of Sparse Representations" [Sep 07 3188-3195].
IEEE Trans. Inf. Theory, 2013

Revisiting Inter-Genre Similarity.
IEEE Signal Process. Lett., 2013

Classification accuracy is not enough - On the evaluation of music genre recognition systems.
J. Intell. Inf. Syst., 2013

The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use.
CoRR, 2013

Alexander Lerch: An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics.
Comput. Music. J., 2013

Evaluating music emotion recognition: Lessons from music genre recognition?
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Music genre recognition with risk and rejection.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

On music genre classification via compressive sampling.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Behavior of greedy sparse representation algorithms on nested supports.
Proceedings of the IEEE International Conference on Acoustics, 2013

Making Explicit the Formalism Underlying Evaluation in Music Information Retrieval Research: A Look at the MIREX Automatic Mood Classification Task.
Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013

2012
Two systems for automatic music genre recognition: what are they really recognizing?
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies, 2012

An analysis of the GTZAN music genre dataset.
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies, 2012

Comparison of orthogonal matching pursuit implementations.
Proceedings of the 20th European Signal Processing Conference, 2012

When "exact recovery" is exact recovery in compressed sensing simulation.
Proceedings of the 20th European Signal Processing Conference, 2012

Regression with sparse approximations of data.
Proceedings of the 20th European Signal Processing Conference, 2012

A Survey of Evaluation in Music Genre Recognition.
Proceedings of the Adaptive Multimedia Retrieval: Semantics, 2012

2011
Recursive nearest neighbor search in a sparse and multiscale domain for comparing audio signals.
Signal Process., 2011

A Study on Sparse Vector Distributions and Recovery from Compressed Sensing
CoRR, 2011

Sound Cross-synthesis and Morphing Using Dictionary-based Methods.
Proceedings of the 2011 International Computer Music Conference, 2011

Cyclic pure greedy algorithms for recovering compressively sampled sparse signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A perceptually reweighted mixed-norm method for sparse approximation of audio signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Sparse Approximation and the Pursuit of Meaningful Signal Models With Interference Adaptation.
IEEE Trans. Speech Audio Process., 2010

Incorporating scale information with cepstral features: Experiments on musical instrument recognition.
Pattern Recognit. Lett., 2010

Musical instrument identification using multiscale Mel-frequency cepstral coefficients.
Proceedings of the 18th European Signal Processing Conference, 2010

Detection and estimation of arrivals in room impulse responses by greedy sparse approximation.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
A Multimodal System for Gesture Recognition in Interactive Music Performance.
Comput. Music. J., 2009

Pruning sparse signal models using interference.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

On Similarity Search in Audio Signals Using Adaptive Sparse Approximations.
Proceedings of the Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User, 2009

2008
Dark Energy in Sparse Atomic Estimations.
IEEE Trans. Speech Audio Process., 2008

Analysis, Visualization, and Transformation of audio signals using Dictionary-Based Methods.
Proceedings of the 2008 International Computer Music Conference, 2008

Agglomerative clustering in sparse atomic decompositions of audio signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

Measuring interference in overcomplete signal representations.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Interference-driven adaptation in sparse approximation.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2006
Adaptive Concatenative Sound Synthesis and Its Application to Micromontage Composition.
Comput. Music. J., 2006

Matching Pursuit Decompositions of Non-Noisy Speech Signals Using Several Dictionaries.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Lutz Trautmann and Rudolf Rabenstein: Digital Sound Synthesis by Physical Modeling Using the Functional Transformation Method.
Comput. Music. J., 2005

2004
Spectral Characteristics of the Musical Iced Tea Can.
Proceedings of the 2004 International Computer Music Conference, 2004

Signals and Systems Using MATLAB: An Effective Application for Exploring and Teaching Media Signal Processing.
Proceedings of the 2004 International Computer Music Conference, 2004

MATConcat: An Application for Exploring Concatenative Sound Synthesis Using MATLAB.
Proceedings of the 2004 International Computer Music Conference, 2004

2003
International Computer Music Conference 2002.
Comput. Music. J., 2003

International Conference on Auditory Display 2002.
Comput. Music. J., 2003

2002
Water Music: Sonificiation of Ocean Buoy Spectral Data.
Proceedings of the 2002 International Computer Music Conference, 2002


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