Bob L. T. Sturm

122 papers A* 2A 4B 1C 4Misc 5Journal 51Unranked 55

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	"I made this (sort of)": Negotiating authorship, confronting fraudulence, and exploring new musical spaces with prompt-based AI music generation. CoRR Bob L. T. Sturm
2025	A*	`conf`	(Mis)Communicating with our AI Systems. CHI Laura Cros Vila, Bob L. T. Sturm
2025	—	`conf`	Assessing the Alignment of Valence and Arousal between Text Prompts and the Resulting AI-Generated Music. AIMC Xinyue Hu, Bob L. T. Sturm
2025	J	`jnl`	Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio. CoRR Luca Casini, Laura Cros Vila, David Dalmazzo, Anna-Kaisa Kaila, Bob L. T. Sturm
2025	A	`conf`	Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal Embeddings. GECCO Joris Grouwels, Nicolas Jonason, Bob L. T. Sturm
2025	—	`conf`	Methodological Considerations of Digital Ethnographic Studies in the AI Music Field. AIMC Yiren Zhao, Elin Kanhov, Bob L. T. Sturm
2025	—	`conf`	SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward. AIMC Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2025	J	`jnl`	SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward. CoRR Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2025	J	`jnl`	The AI Music Arms Race: On the Detection of AI-Generated Music. Trans. Int. Soc. Music. Inf. Retr. Laura Cros Vila, Bob L. T. Sturm, Luca Casini, David Dalmazzo
2024	—	`conf`	A Critical Survey of Research in Music Genre Recognition. ISMIR Owen Green, Bob L. T. Sturm, Georgina Born, Melanie Wald-Fuhrmann
2024	—	`conf`	AI Music Studies: Preparing for the Coming Flood. AIMC Bob L. T. Sturm, Ken Déguernel, Rujing Stacy Huang, Anna-Kaisa Kaila, Petra Jääskeläinen, Elin Kanhov, Laura Cros Vila, David Cabrera Dalmazzo, Luca Casini, Oliver Roland Bown, Nick Collins, Eric Drott, Jonathan Sterne, Andre Holzapfel, Oded Ben-Tal
2024	—	`conf`	Agonistic Dialogue on the Value and Impact of AI Music Applications. AIMC Anna-Kaisa Kaila, Bob L. T. Sturm
2024	—	`conf`	Endless Generative AI: A Practical Tutorial. AIMC Marco Amerotti, Bob L. T. Sturm
2024	J	`jnl`	Introducing the TISMIR Education Track: What, Why, How? Trans. Int. Soc. Music. Inf. Retr. Meinard Müller, Simon Dixon, Anja Volk, Bob L. T. Sturm, Preeti Rao, Mark Gotham
2024	C	`conf`	Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation. EvoMUSART Luca Casini, Nicolas Jonason, Bob L. T. Sturm
2024	—	`conf`	Negotiating Autonomy and Trust when Performing with an AI Musician. TAS Steve Benford, Marco Amerotti, Bob L. T. Sturm, Juan Pablo Martinez-Avila
2024	J	`jnl`	Reflections on The First International Conference in AI Music Studies. Comput. Music. J. Bob L. T. Sturm, Elin Kanhov, André Holzapfel, Oded Ben-Tal
2024	J	`jnl`	SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors. CoRR Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2024	—	`conf`	Sparks of Musical AGI? Challenges and perspectives in music co-creation with LLMs. AIMC Luca Casini, Nicolas Jonason, Bob L. T. Sturm
2024	J	`jnl`	Steer-by-prior Editing of Symbolic Music Loops. CoRR Nicolas Jonason, Luca Casini, Bob L. T. Sturm
2024	—	`conf`	Stochastic Pirate Radio (KSPR): Generative AI applied to simulate commercial radio. AIMC Bob L. T. Sturm, Marco Amerotti, David Dalmazzo, Laura Cros Vila, Luca Casini, Elin Kanhov
2024	C	`conf`	The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies. EvoMUSART David Dalmazzo, Ken Déguernel, Bob L. T. Sturm
2023	—	`conf`	A Live Performance Rule System Informed by Irish Traditional Dance Music. CMMR Marco Amerotti, Steve Benford, Bob L. T. Sturm, Craig Vear
2023	—	`conf`	A Review of Validity and Its Relationship to Music Information Research. ISMIR Bob L. T. Sturm, Arthur Flexer
2023	J	`jnl`	Beyond Diverse Datasets: Responsible MIR, Interdisciplinarity, and the Fractured Worlds of Music. Trans. Int. Soc. Music. Inf. Retr. Rujing Stacy Huang, Andre Holzapfel, Bob L. T. Sturm, Anna-Kaisa Kaila
2023	C	`conf`	Bias in Favour or Against Computational Creativity: A Survey and Reflection on the Importance of Socio-cultural Context in its Evaluation. ICCC Ken Déguernel, Bob L. T. Sturm
2023	J	`jnl`	DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input. CoRR Nicolas Jonason, Xin Wang, Erica Cooper, Lauri Juvela, Bob L. T. Sturm, Junichi Yamagishi
2023	J	`jnl`	Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation. CoRR Nicolas Jonason, Bob L. T. Sturm
2023	J	`jnl`	Retrieval Augmented Generation of Symbolic Music with LLMs. CoRR Nicolas Jonason, Luca Casini, Carl Thomé, Bob L. T. Sturm
2023	—	`conf`	Statistical evaluation of abc-formatted music at the levels of items and corpora. AIMC Laura Cros Vila, Bob L. T. Sturm
2023	—	`conf`	The Ai Music Generation Challenge 2022: Summary and Results. AIMC Bob L. T. Sturm
2023	J	`jnl`	Validity in Music Information Research Experiments. CoRR Bob L. T. Sturm, Arthur Flexer
2022	J	`jnl`	Audio Latent Space Cartography. CoRR Nicolas Jonason, Bob L. T. Sturm
2022	J	`jnl`	Editorial for TISMIR Special Collection: AI and Musical Creativity. Trans. Int. Soc. Music. Inf. Retr. Bob L. T. Sturm, Alexandra L. Uitdenbogerd, Hendrik Vincent Koops, Anna Huang
2022	J	`jnl`	Editors' Notes. Comput. Music. J. Ken Déguernel, Bob L. T. Sturm, Artemi-Maria Gioti, Georgina Born
2022	—	`conf`	Investigating the Relationship Between Liking and Belief in AI Authorship in the Context of Irish Traditional Music. CREAI@AI*IA Ken Déguernel, Bob L. T. Sturm, Hugo Maruri-Aguilar
2022	J	`jnl`	Sound Anthology: Content. Comput. Music. J. Ken Déguernel, Bob L. T. Sturm, Artemi-Maria Gioti, Georgina Born, Oded Ben-Tal, Joëlle Léandre, Aaron Einbond, Iván Paz, Nao Tokui
2022	J	`jnl`	Sound and Video Anthology: Program Notes. Comput. Music. J. Ken Déguernel, Bob L. T. Sturm, Artemi-Maria Gioti, Georgina Born
2022	—	`conf`	The Ai Music Generation Challenge 2021: Summary and Results. AIMC Bob L. T. Sturm
2022	J	`jnl`	The Beyond the Fence Musical and Computer Says Show Documentary. CoRR Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. T. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
2022	J	`jnl`	TimbreCLIP: Connecting Timbre to Text and Images. CoRR Nicolas Jonason, Bob L. T. Sturm
2022	A*	`conf`	Tradformer: A Transformer Model of Traditional Music Transcriptions. IJCAI Luca Casini, Bob L. T. Sturm
2021	—	`conf`	An Artificial Critic of Irish Double Jigs. AIMC Bob L. T. Sturm
2021	—	`conf`	De-centering the West: East Asian Philosophies and the Ethics of Applying Artificial Intelligence to Music. ISMIR Rujing Stacy Huang, Bob L. T. Sturm, Andre Holzapfel
2021	—	`conf`	Reframing “Aura”: Authenticity in the Application of Ai to Irish Traditional Music. AIMC Rujing Huang, Bob L. T. Sturm
2020	J	`jnl`	Dataset Artefacts in Anti-Spoofing Systems: A Case Study on the ASVspoof 2017 Benchmark. IEEE ACM Trans. Audio Speech Lang. Process. Bhusan Chettri, Emmanouil Benetos, Bob L. T. Sturm
2020	J	`jnl`	Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark. CoRR Bhusan Chettri, Emmanouil Benetos, Bob L. T. Sturm
2020	B	`conf`	Reliable Local Explanations for Machine Listening. IJCNN Saumitra Mishra, Emmanouil Benetos, Bob L. T. Sturm, Simon Dixon
2020	J	`jnl`	Reliable Local Explanations for Machine Listening. CoRR Saumitra Mishra, Emmanouil Benetos, Bob L. T. Sturm, Simon Dixon
2020	—	`conf`	The control-synthesis approach for making expressive and controllable neural music synthesizers. AIMC Nicolas Jonason, Bob L. T. Sturm, Carl Thomé
2019	J	`jnl`	Characterising Confounding Effects in Music Classification Experiments through Interventions. Trans. Int. Soc. Music. Inf. Retr. Francisco Rodríguez-Algarra, Bob L. T. Sturm, Simon Dixon
2019	A	`conf`	Ensemble Models for Spoofing Detection in Automatic Speaker Verification. INTERSPEECH Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. T. Sturm
2019	J	`jnl`	Ensemble Models for Spoofing Detection in Automatic Speaker Verification. CoRR Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. T. Sturm
2019	J	`jnl`	GAN-based Generation and Automatic Selection of Explanations for Neural Networks. CoRR Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. T. Sturm, Simon Dixon
2019	J	`jnl`	Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing. IEEE J. Sel. Top. Signal Process. Hendrik Purwins, Bob L. T. Sturm, Bo Li, Juhan Nam, Abeer Alwan
2018	—	`conf`	"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems. EUSIPCO Saumitra Mishra, Bob L. T. Sturm, Simon Dixon
2018	Misc	`conf`	A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems. ICASSP Bhusan Chettri, Bob L. T. Sturm
2018	J	`jnl`	A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing. CoRR Bhusan Chettri, Saumitra Mishra, Bob L. T. Sturm, Emmanouil Benetos
2018	—	`conf`	Analysing Replay Spoofing Countermeasure Performance under varied conditions. MLSP Bhusan Chettri, Bob L. T. Sturm, Emmanouil Benetos
2018	—	`conf`	Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System. SLT Bhusan Chettri, Saumitra Mishra, Bob L. T. Sturm, Emmanouil Benetos
2018	J	`jnl`	Ethical Dimensions of Music Information Retrieval Technology. Trans. Int. Soc. Music. Inf. Retr. Andre Holzapfel, Bob L. T. Sturm, Mark Coeckelbergh
2018	—	`conf`	Understanding a Deep Machine Listening Model Through Feature Inversion. ISMIR Saumitra Mishra, Bob L. T. Sturm, Simon Dixon
2017	—	`conf`	Exploring Trends in Trinidad Steelband Music Through Computational Ethnomusicology. CMMR Elio Quinton, Florabelle Spielmann, Bob L. T. Sturm
2017	—	`conf`	Local Interpretable Model-Agnostic Explanations for Music Content Analysis. ISMIR Saumitra Mishra, Bob L. T. Sturm, Simon Dixon
2016	—	`conf`	Analysing Scattering-Based Music Content Analysis Systems: Where's the Music?. ISMIR Francisco Rodríguez-Algarra, Bob L. T. Sturm, Hugo Maruri-Aguilar
2016	J	`jnl`	Music transcription modelling and composition using deep learning. CoRR Bob L. T. Sturm, João Felipe Santos, Oded Ben-Tal, Iryna Korshunova
2016	—	`conf`	Revisiting Priorities: Improving MIR Evaluation Practices. ISMIR Bob L. T. Sturm
2016	C	`conf`	The "Beyond the Fence" Musical and "Computer Says Show" Documentary. ICCC Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. T. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
2016	J	`jnl`	The "Horse" Inside: Seeking Causes Behind the Behaviors of Music Content Analysis Systems. Comput. Entertain. Bob L. T. Sturm
2016	J	`jnl`	The "Horse" Inside: Seeking Causes Behind the Behaviours of Music Content Analysis Systems. CoRR Bob L. T. Sturm
2015	J	`jnl`	Deep Learning and Music Adversaries. CoRR Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015	J	`jnl`	Deep Learning and Music Adversaries. IEEE Trans. Multim. Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015	—	`conf`	Deep learning, audio adversaries, and music content analysis. WASPAA Corey Kereliuk, Bob L. T. Sturm, Jan Larsen
2015	—	`conf`	¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity. MCM Bob L. T. Sturm, Corey Kereliuk, Jan Larsen
2014	J	`jnl`	A Simple Method to Determine if a Music Information Retrieval System is a "Horse". IEEE Trans. Multim. Bob L. T. Sturm
2014	—	`conf`	A closer look at deep learning neural networks with low-level spectral periodicity features. CIP Bob L. T. Sturm, Corey Kereliuk, Aggelos Pikrakis
2014	—	`conf`	Formalizing the Problem of Music Description. ISMIR Bob L. T. Sturm, Rolf Bardeli, Thibault Langlois, Valentin Emiya
2014	J	`jnl`	On Evaluation Validity in Music Autotagging. CoRR Fabien Gouyon, Bob L. T. Sturm, João Lobato Oliveira, Nuno Hespanhol, Thibault Langlois
2014	—	`conf`	Sound and Music Computing at Aalborg University in Copenhagen. ICMC Stefania Serafin, Sofia Dahl, Amalia de Götzen, Cumhur Erkut, Dan Overholt, Hendrik Purwins, Bob L. T. Sturm
2014	—	`conf`	The Kiki-Bouba Challenge: Algorithmic Composition for Content-based MIR Research and Development. ISMIR Bob L. T. Sturm, Nick Collins
2013	J	`jnl`	Alexander Lerch: An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics. Comput. Music. J. Bob L. T. Sturm
2013	Misc	`conf`	Behavior of greedy sparse representation algorithms on nested supports. ICASSP Boris Mailhé, Bob L. T. Sturm, Mark D. Plumbley
2013	J	`jnl`	Classification accuracy is not enough - On the evaluation of music genre recognition systems. J. Intell. Inf. Syst. Bob L. T. Sturm
2013	—	`conf`	Evaluating music emotion recognition: Lessons from music genre recognition? ICME Workshops Bob L. T. Sturm
2013	—	`conf`	Making Explicit the Formalism Underlying Evaluation in Music Information Retrieval Research: A Look at the MIREX Automatic Mood Classification Task. CMMR Bob L. T. Sturm
2013	A	`conf`	Music genre recognition with risk and rejection. ICME Bob L. T. Sturm
2013	J	`jnl`	On Theorem 10 in "On Polar Polytopes and the Recovery of Sparse Representations" [Sep 07 3188-3195]. IEEE Trans. Inf. Theory Bob L. T. Sturm, Boris Mailhé, Mark D. Plumbley
2013	A	`conf`	On music genre classification via compressive sampling. ICME Bob L. T. Sturm
2013	J	`jnl`	Revisiting Inter-Genre Similarity. IEEE Signal Process. Lett. Bob L. T. Sturm, Fabien Gouyon
2013	J	`jnl`	The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use. CoRR Bob L. T. Sturm
2012	—	`conf`	A Survey of Evaluation in Music Genre Recognition. Adaptive Multimedia Retrieval Bob L. T. Sturm
2012	—	`conf`	An analysis of the GTZAN music genre dataset. MIRUM Bob L. T. Sturm
2012	—	`conf`	Comparison of orthogonal matching pursuit implementations. EUSIPCO Bob L. T. Sturm, Mads Græsbøll Christensen
2012	—	`conf`	Regression with sparse approximations of data. EUSIPCO Pardis Noorzad, Bob L. T. Sturm
2012	—	`conf`	Two systems for automatic music genre recognition: what are they really recognizing? MIRUM Bob L. T. Sturm
2012	—	`conf`	When "exact recovery" is exact recovery in compressed sensing simulation. EUSIPCO Bob L. T. Sturm
2011	J	`jnl`	A Study on Sparse Vector Distributions and Recovery from Compressed Sensing CoRR Bob L. T. Sturm
2011	—	`conf`	A perceptually reweighted mixed-norm method for sparse approximation of audio signals. ACSCC Mads Græsbøll Christensen, Bob L. T. Sturm
2011	—	`conf`	Cyclic pure greedy algorithms for recovering compressively sampled sparse signals. ACSCC Bob L. T. Sturm, Mads Græsbøll Christensen, Rémi Gribonval
2011	J	`jnl`	Recursive nearest neighbor search in a sparse and multiscale domain for comparing audio signals. Signal Process. Bob L. T. Sturm, Laurent Daudet
2011	—	`conf`	Sound Cross-synthesis and Morphing Using Dictionary-based Methods. ICMC Nick Collins, Bob L. T. Sturm
2010	—	`conf`	Detection and estimation of arrivals in room impulse responses by greedy sparse approximation. EUSIPCO Bob L. T. Sturm, Guillaume DeFrance
2010	J	`jnl`	Incorporating scale information with cepstral features: Experiments on musical instrument recognition. Pattern Recognit. Lett. Marcela Morvidone, Bob L. T. Sturm, Laurent Daudet
2010	—	`conf`	Musical instrument identification using multiscale Mel-frequency cepstral coefficients. EUSIPCO Bob L. T. Sturm, Marcela Morvidone, Laurent Daudet
2010	J	`jnl`	Sparse Approximation and the Pursuit of Meaningful Signal Models With Interference Adaptation. IEEE Trans. Speech Audio Process. Bob L. T. Sturm, John J. Shynk
2009	J	`jnl`	A Multimodal System for Gesture Recognition in Interactive Music Performance. Comput. Music. J. Dan Overholt, John Thompson, Lance Putnam, Bo Bell, Jim Kleban, Bob L. T. Sturm, JoAnn Kuchera-Morin
2009	—	`conf`	On Similarity Search in Audio Signals Using Adaptive Sparse Approximations. Adaptive Multimedia Retrieval Bob L. T. Sturm, Laurent Daudet
2009	Misc	`conf`	Pruning sparse signal models using interference. CISS Bob L. T. Sturm, John J. Shynk, Dae Hong Kim
2008	Misc	`conf`	Agglomerative clustering in sparse atomic decompositions of audio signals. ICASSP Bob L. T. Sturm, John J. Shynk, Steffen Gauglitz
2008	—	`conf`	Analysis, Visualization, and Transformation of audio signals using Dictionary-Based Methods. ICMC Bob L. T. Sturm, Curtis Roads, Aaron McLeran, John J. Shynk
2008	J	`jnl`	Dark Energy in Sparse Atomic Estimations. IEEE Trans. Speech Audio Process. Bob L. T. Sturm, John J. Shynk, Laurent Daudet, Curtis Roads
2008	—	`conf`	Interference-driven adaptation in sparse approximation. ACSCC Bob L. T. Sturm, John J. Shynk
2008	Misc	`conf`	Measuring interference in overcomplete signal representations. CISS Bob L. T. Sturm, John J. Shynk, Laurent Daudet
2006	J	`jnl`	Adaptive Concatenative Sound Synthesis and Its Application to Micromontage Composition. Comput. Music. J. Bob L. T. Sturm
2006	—	`conf`	Matching Pursuit Decompositions of Non-Noisy Speech Signals Using Several Dictionaries. ICASSP (3) Bob L. T. Sturm, Jerry D. Gibson
2005	J	`jnl`	Lutz Trautmann and Rudolf Rabenstein: Digital Sound Synthesis by Physical Modeling Using the Functional Transformation Method. Comput. Music. J. Bob L. T. Sturm
2004	—	`conf`	MATConcat: An Application for Exploring Concatenative Sound Synthesis Using MATLAB. ICMC Bob L. T. Sturm
2004	—	`conf`	Signals and Systems Using MATLAB: An Effective Application for Exploring and Teaching Media Signal Processing. ICMC Bob L. T. Sturm, Jerry D. Gibson
2004	—	`conf`	Spectral Characteristics of the Musical Iced Tea Can. ICMC Bob L. T. Sturm, Stephen Travis Pope
2003	J	`jnl`	International Computer Music Conference 2002. Comput. Music. J. Bob L. T. Sturm
2003	J	`jnl`	International Conference on Auditory Display 2002. Comput. Music. J. Bob L. T. Sturm
2002	—	`conf`	Water Music: Sonificiation of Ocean Buoy Spectral Data. ICMC Bob L. T. Sturm