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2026 (16)

Casini, Luca; Cros Vila, Laura; Dalmazzo, David; Kaila, Anna-Kaisa.; Sturm, Bob L.T.. Data-driven analysis of text-conditioning in AI-generated music: a case study with Suno and Udio. Transactions of the International Society for Music Information Retrieval 2026; 9(1): 194-209.

Dalmazzo D.; Deguernel K.; Sturm B.L.T.. ChromaFlow: Modeling And Generating Harmonic Progressions With a Transformer And Voicing Encoding. Communications in Computer and Information Science 2026; 2559: 354-363.

Fathallah, Nadeen; Das, Arunav; De Giorgis, Stefano; Poltronieri, Andrea; Haase, Peter; Kovriguina, Liubov; Meroño-Peñuela, Albert; Simperl, Elena; Staab, Steffen; Algergawy, Alsayed. Extended NeOn-GPT: advancing LLM-powered ontology learning through ontology reuse and automated verification. Semantic Web 2026; 17(4): .

Gómez-Marin, Daniel; Clark, Peter; Jordà, Sergi; Herrera, Perfecto. Tapping into rhythm: how polyphonic drum patterns map to monophonic contours and support pattern retrieval. Music and Science 2026; 9: .

Harju M.; Font F.; Mesaros A.. Self-labeling sounds using optimal transport. IEEE Open Journal of Signal Processing 2026; 7: 116-124.

Ibáñez-Martínez L; Batlle-Roca R; Serra X; Rocamora M. MusGU+: toward a musician-centered evaluation framework and discovery tool for generative music AI. In: -. Proceedings of the 7th Conference on AI Music Creativity (AIMC 2026). . : AIMC; 2026. . .

Ibáñez-Martínez L; Nkama C; Poltronieri A; Serra X; Rocamora M. Evaluating disentangled representations for controllable music generation. In: IEEE. ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). . : IEEE; 2026. p. 15092-15096.

Kotowski B.; Herrera P.; Font F.. Beyond Individualistic Creativity: A Multi-Relational Evaluation Framework for Generative AI Across Scales. In: -. C&C '26: Proceedings of the 2026 Conference on Creativity and Cognition. . New York: Association for Computing Machinery; 2026. p. 1388-1394.

López-Ayala D, Cabello A, Zinemanas P, Molina E, Rocamora M. AI-generated music detection in broadcast monitoring. In: IEEE. ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). . : IEEE; 2026. p. 12342-12346.

Lucena R.; Ramirez R.. A Machine-Learning-Based Digital Music Interface for Motor Rehabilitation. Communications in Computer and Information Science 2026; 2559 CCIS(0): 425-431.

Nuttall, Thomas; Manickavasakan, Brindha; Serra, Xavier; Pearson, Lara. Boundary characteristics of Sancara segments in carnatic music. In: Neumann J (ed.). DLfM '26: Proceedings of the 13th International Conference on Digital Libraries for Musicology. . : Association for Computing Machinery; 2026. p. 63-70.

Ramoneda P.; Suzuki M.; Maezawa A.; Serra X.. Difficulty-Aware Score Generation for Piano Sight-Reading. Expert Systems with Applications 2026; : .

Sako S.; Tatsumi K.; Ramirez R.. A Study on Visualization of Music for Scores and Performances Based on Chironomie. Communications in Computer and Information Science 2026; 2559 CCIS(0): 364-370.

Serra X; Alluri V; Balke S; Bello JP; Benetos E; Bogdanov D; Devaney J; Dixon S; Duan Z; Fazekas G; Flexer A; Font F; Fuentes M; Fujinaga I; Gómez E; Goto M; Hennequin R; Herremans D; Hu X; Jeong D; Knees P; Korzeniowski F; Lattner S; Lee JH; Lerch A; Liem C; McFee B; Molina E; Müller M; Nakano T; Nam J; Nieto O; Oramas S; Pardo B; Peeters G; Rao P; Richard G; Rocamora M; Srinivasamurthy A; Su L; Sturm BLT; Tzanetakis G; Volk A; Wang Y; Widmer G; Wiering F; Weiß C; Yang YH; Zangerle E. AI and music at a crossroads: the role of the Music Information Retrieval (MIR) community in shaping trustworthy, open, and culturally inclusive music-AI. Transactions of the International Society for Music Information Retrieval 2026; 9(1): 510-525.

Serra X; Araz RO; Batlle-Roca R; Juvela L; López D; Rocamora M. Technical solutions for marking and detecting AI-generated audio content in the context of article 50(2) AI Act: final study report. European Comission; 2026.

Weck B.; Puentes P.; Poltronieri A.; Prabhu S.; Bogdanov D.. HumMusQA: A Human-written Music Understanding QA Benchmark Dataset. In: -. Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026). . Rabat: Association for Computational Linguistics; 2026. p. 58-67.

2025 (31)

Acevedo E, Espinosa MN, Stolovas I, Rocamora M, Steinfeld L. Enhancing the recording and analysis of Antarctic soundscapes. In: -. 2025 IEEE Latin Conference on IoT (LCIoT). . : IEEE; 2025. p. 125-128.

Acevedo E, Rocamora M, Fuentes M. Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification. In: -. Proceedings of Interspeech 2025. . : International Speech Communication Association; 2025. p. 1328-1332.

Alonso-Jimenez P.; Ramoneda P.; Araz R.O.; Poltronieri A.; Bogdanov D.. OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction. In: -. City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning. . : -; 2025. p. 13640-13643.

Anastasopoulou P; Ardan Dal Rí F; Serra X; Font F. Hierarchical and multimodal learning for heterogeneous sound classification. In: Benetos E; Font F; Fuentes M; Martin Morato I; Rocamora M. Proceedings of the 10th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2025). . : DCASE; 2025. p. 105-109.