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ORCID26th ISMIR 2025: Daejeon, South Korea
- Juhan Nam, Dasaem Jeong, Keunwoo Choi, Li Su, Magdalena Fuentes, Tomoyasu Nakano, Xiao Hu, Hao-Wen (Herman) Dong:
Proceedings of the 26th International Society for Music Information Retrieval Conference, ISMIR 2025, Daejeon, South Korea, September 21-25, 2025. 2025, ISBN 978-1-7327299-5-7 - Harin Lee, Elif Celen, Peter M. C. Harrison, Manuel Anglada-Tort, Pol van Rijn, Minsu Park, Marc Schönwiesner, Nori Jacoby:
GlobalMood: A Cross-Cultural Benchmark for Music Emotion Recognition. 11-19 - Alexander Wang, Chris Donahue, Dhruv Jain:
RISE: Music Rearrangement for Realtime Intensity Synchronization With Exercise. 20-27 - Lidia J. Morris, Michele Newman, Xinya Tang, Renee Singh, Marcel A. Vélez Vásquez, Rebecca Leger, Jin Ha Lee:
Expanding the HAISP Dataset: AI's Impact on Songwriting Across Two AI Song Contests. 28-35 - Brian McFee:
Quantifying Regularity in Music Structure Analysis. 36-43 - Eunjin Choi, Hyerin Kim, Jiwoo Ryu, Juhan Nam, Dasaem Jeong:
On the De-Duplication of the Lakh MIDI Dataset. 44-51 - Matteo Pettenò, Alessandro Ilic Mezza, Alberto Bernardini:
Conditional Diffusion as Latent Constraints for Unconditional Symbolic Music Generation Models. 52-59 - Maziar Kanani, Seán O'Leary, James McDermott:
Radif Corpus; Symbolic Dataset for Non-Metric Iranian Classical Music. 60-67 - Yash Bhake, Ankit Anand, Preeti Rao:
Melodic and Metrical Elements of Expressiveness in Hindustani Vocal Music. 68-74 - Takayuki Nakatsuka, Masahiro Hamasaki, Masataka Goto:
Coloring Music: Bridging Music and Color Palettes for Graphic Design. 75-82 - Patricia Hu, Silvan Peter, Jan Schlüter, Gerhard Widmer:
Exploring Network Adaptations for Minimum Latency Real-Time Piano Transcription. 83-90 - Jiyun Park, Carlos Eduardo Cancino-Chacón, Suhit Chiruthapudi, Juhan Nam:
A Systematic Evaluation of Real-Time Audio Score Following for Piano Performance. 91-99 - Jaeran Choi, Taegyun Kwon, Juhan Nam:
Predicting Flutist Onset Timing in Duet Performance: A Multimodal Analysis of Gesture and Breath Cues. 100-106 - Markus Frohmann, Elena V. Epure, Gabriel Meseguer-Brocal, Markus Schedl, Romain Hennequin:
AI-Generated Song Detection via Lyrics Transcripts. 107-116 - Simon J. Schwär, Stefan Balke, Meinard Müller:
Measuring Sensory Dissonance In Multi-Track Music Recordings: A Case Study With Wind Quartets. 117-126 - Johannes Zeitler, Meinard Müller:
Reformulating Soft Dynamic Time Warping: Insights Into Target Artifacts and Prediction Quality. 127-133 - Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Michele Mancusi, Yuki Mitsufuji:
ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors. 134-141 - Pascal Schmolenzky, Stephanie Klauk, Rainer Kleinertz, Christof Weiß, Meinard Müller:
A Multidimensional Approach to Opera Analysis: Harmony, Tempo, and Dramatic Interaction in Wagner's Siegfried Act III. 142-149 - Meng Yang, Jon McCormack, Maria Teresa Llano, Wanchao Su:
Exploring the Feasibility of LLMs for Automated Music Emotion Annotation. 150-157 - Yiwei Ding, Yannik Venohr, Christof Weiß:
An Evaluation Strategy for Local Key Estimation: Exploiting Cross-Version Consistency. 158-165 - Hans-Ulrich Berendes, Ben Maman, Meinard Müller:
Tuning Matters: Analyzing Musical Tuning Bias in Neural Vocoders. 166-173 - Yichen Huang, Zachary Novack, Koichi Saito, Jiatong Shi, Shinji Watanabe, Yuki Mitsufuji, John Thickstun, Chris Donahue:
Aligning Text-to-Music Evaluation With Human Preferences. 174-181 - Oleg Lesota, Anna Hausberger, Ivanna Pshenychna, Oleksandr Shvydanenko, Olha Yehorova, Markus Schedl:
Investigating Music Track Liking in the Halo of Album Covers. 182-189 - Hilda Romero-Velo, Gilberto Bernardes, Susana Ladra, José R. Paramá, Fernando Silva-Coira:
Phylo-Analysis of Folk Traditions: A Methodology for the Hierarchical Musical Similarity Analysis. 190-197 - Ching-Yu Chiu, Sebastian Strahl, Meinard Müller:
dPLP: A Differentiable Version of Predominant Local Pulse Estimation. 198-205 - Guillem Cortès-Sebastià, Benjamin Martin, Emilio Molina, Xavier Serra, Romain Hennequin:
PeakNetFP: Peak-Based Neural Audio Fingerprinting Robust to Extreme Time Stretching. 206-214 - Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong:
Generating Symbolic Music From Natural Language Prompts Using an LLM-Enhanced Dataset. 215-222 - Zhaokai Wang, Chenxi Bao, Le Zhuo, Jingrui Han, Yang Yue, Yihong Tang, Victor Shea-Jay Huang, Yue Liao:
A Survey on Vision-to-Music Generation: Methods, Datasets, Evaluation, and Challenges. 223-234 - Yuexuan Kong, Gabriel Meseguer-Brocal, Vincent Lostanlen, Mathieu Lagrange, Romain Hennequin:
Emergent Musical Properties of a Transformer Under Contrastive Self-Supervised Learning. 235-246 - Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack:
Are You Really Listening? Boosting Perceptual Awareness in Music-QA Benchmarks. 247-261 - Julien Guinot, Elio Quinton, George Fazekas:
GD-Retriever: Controllable Generative Text-Music Retrieval With Diffusion Models. 262-270 - Yannik Venohr, Yiwei Ding, Christof Weiß:
Towards Robust Automatic Music Transcription By Measuring Cross-Version Consistency. 271-278 - Roman B. Gebhardt, Arne Kuhle, Eylül Bektur:
Beyond Genre: Diagnosing Bias in Music Embeddings Using Concept Activation Vectors. 279-286 - Tom Baker, Javier Nistal:
LiLAC: A Lightweight Latent ControlNet for Musical Audio Generation. 287-295 - Zakaria Hassein-Bey, Yohann Abbou, Alexandre D'Hooge, Mathieu Giraud, Gilles Guillemain, Aurélien Jeanneau:
What Song Now? Personalized Rhythm Guitar Learning in Western Popular Music. 296-302 - Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos:
Universal Music Representations? Evaluating Foundation Models on World Music Corpora. 303-311 - Martin Rohrmeier:
A Theoretical Model of Musical Form. 312-319 - António Pinto:
Towards Human-in-the-Loop Onset Detection: A Transfer Learning Approach for Maracatu. 320-327 - Yixiao Zhang, Yukara Ikemiya, Woosung Choi, Naoki Murata, Marco A. Martínez Ramírez, Liwei Lin, Gus Xia, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon:
Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning. 328-336 - Qi He, Ziyu Wang, Gus Xia:
TOMI: Transforming and Organizing Music Ideas for Multi-Track Compositions With Full-Song Structure. 337-345 - Ziyu Wang, Yuxuan Wu, Roger B. Dannenberg, Gus Xia:
Automatic Melody Reduction via Shortest Path Finding. 346-353 - Fathinah Asma Izzati, Xinyue Li, Gus Xia:
Expotion: Facial Expression and Motion Control for Multimodal Music Generation. 354-362 - Patrice Thibaud, Mathieu Giraud, Yann Teytaut:
When Voices Interleave: Timing Deviations in Six Performances of Telemann's Fantasias for Solo Flute. 363-372 - Ben Hayes, Charalampos Saitis, György Fazekas:
Audio Synthesizer Inversion in Symmetric Parameter Spaces With Approximately Equivariant Flow Matching. 373-381 - Julien Guinot, Alain Riou, Elio Quinton, George Fazekas:
SLAP: Siamese Language-Audio Pretraining Without Negative Samples for Music Understanding. 382-390 - Hayeon Bang, Eunjin Choi, Seungheon Doh, Juhan Nam:
PianoBind: A Multi-Modal Joint Embedding Model for Pop-Piano Music. 391-398 - Recep Oguz Araz, Guillem Cortès-Sebastià, Emilio Molina, Joan Serrà, Xavier Serra, Yuki Mitsufuji, Dmitry Bogdanov:
Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification. 399-406 - Jonathan Myers, Dard Neuman:
Beyond Notation: A Digital Platform for Transcribing and Analyzing Oral Melodic Traditions. 407-415 - Yinghao Ma, Siyou Li, Juntao Yu, Emmanouil Benetos, Akira Maezawa:
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following. 416-425 - Qingyang Xi, Brian McFee:
Lose the Frames: Exact Metrics for More Responsible Music Structure Analysis Evaluations. 426-432 - Marco Pasini, Stefan Lattner, George Fazekas:
Unifying Continuous and Discrete Compressed Representations of Audio. 433-441 - Jun-You Wang, Li Su:
Improving BERT for Symbolic Music Understanding Using Token Denoising and Pianoroll Prediction. 442-450 - Louis Bradshaw, Alexander Spangher, Honglu Fan, Stella Biderman, Simon Colton:
Scaling Self-Supervised Representation Learning for Symbolic Piano Performance. 451-459 - Patrick O'Reilly, Julia Barnett, Hugo Flores García, Annie Chu, Nathan Pruyne, Prem Seetharaman, Bryan Pardo:
The Rhythm In Anything: Audio-Prompted Drums Generation With Masked Language Modeling. 460-468 - Jonathan Yaffe, Ben Maman, Meinard Müller, Amit Bermano:
Count the Notes: Histogram-Based Supervision for Automatic Music Transcription. 469-476 - Sebastian Murgul, Johannes Schimper, Michael Heizmann:
Joint Transcription of Acoustic Guitar Strumming Directions and Chords. 477-483 - Alia Morsi, Suhit Chiruthapudi, Silvan Peter, Ivan Pilkov, Laura Bishop, Akira Maezawa, Xavier Serra, Carlos Eduardo Cancino-Chacón:
Enabling Empirical Analysis of Piano Performance Rehearsal With the Rach3 MIDI Dataset. 484-491 - Andrea Poltronieri, Xavier Serra, Martín Rocamora:
From Discord to Harmony: Consonance-Based Smoothing for Improved Audio Chord Estimation. 492-502 - Peter van Kranenburg, Gerben Bisschop:
Keyboard Temperament Estimation From Symbolic Data: A Case Study on Bach's Well-Tempered Clavier. 503-510 - Aditya Bhattacharjee, Ivan Meresman Higgs, Mark Sandler, Emmanouil Benetos:
Refining Music Sample Identification With a Self-Supervised Graph Neural Network. 511-517 - Haven Kim, Zachary Novack, Weihan Xu, Julian J. McAuley, Hao-Wen Dong:
Video-Guided Text-to-Music Generation Using Public Domain Movie Collections. 518-527 - Yonghyun Kim, Junhyung Park, Joonhyung Bae, Kirak Kim, Taegyun Kwon, Alexander Lerch, Juhan Nam:
PianoVAM: A Multimodal Piano Performance Dataset. 528-535 - Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà:
LoopGen: Training-Free Loopable Music Generation. 536-546 - Oleg Lesota, Veronica Clavijo, Attia Rizwani, Markus Schedl, Bruce Ferwerda:
Enhancing Music Recommender Systems With Multimedia Content: A Context-Aware Approach. 547-554 - Angelos-Nikolaos Kanatas, Charilaos Papaioannou, Alexandros Potamianos:
CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning. 555-564 - Xiaoxuan Wang, Martin Rohrmeier:
Adaptive Path of Prediction: An Unsupervised Method for Modeling Note-Level Informational Hierarchy of Polyphony. 565-572 - Junyan Jiang, Daniel Chin, Xuanjie Liu, Liwei Lin, Gus Xia:
Versatile Music-for-Music Modeling via Function Alignment. 573-581 - Philipp Weyers, Christian Uhle, Meinard Müller, Matthias Lang:
Understanding Performance Limitations in Automatic Drum Transcription. 582-588 - Hanwen Zhang, Kun Fang, Ziyu Wang, Ichiro Fujinaga:
High-Resolution Sustain Pedal Depth Estimation From Piano Audio Across Room Acoustics. 589-595 - Frank Cwitkowitz, Zhiyao Duan:
Investigating an Overfitting and Degeneration Phenomenon in Self-Supervised Multi-Pitch Estimation. 596-603 - Juan C. Martinez-Sevilla, Joan Cerveto-Serrano, Noelia N. Luna-Barahona, Greg Chapman, Craig Sapp, David Rizo, Jorge Calvo-Zaragoza:
Sheet Music Benchmark: Standardized Optical Music Recognition Evaluation. 604-611 - Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yi-Hsuan Yang, Yuki Mitsufuji:
Fx-Encoder++: Extracting Instrument-Wise Audio Effect Representations From Mixtures. 612-622 - Jingjing Tang, Xin Wang, Zhe Zhang, Junichi Yamagishi, Geraint A. Wiggins, George Fazekas:
MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling. 623-630 - Manuel Müllerschön, Anssi Klapuri, Marcelo Rodriguez, Christian Cardin:
Playability Prediction in Digital Guitar Learning Using Interpretable Student and Song Representations. 631-637 - Vojtech Lanz, Jan Hajic jr.:
Gregorian Melody, Modality, and Memory: Segmenting Chant With Bayesian Nonparametrics. 638-646 - Hitoshi Suda, Junya Koguchi, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama, Jun Ogata:
IdolSongsJp Corpus: A Multi-Singer Song Corpus in the Style of Japanese Idol Groups. 647-654 - Jackson Loth, Pedro Sarmento, Saurjya Sarkar, Zixun Guo, Mathieu Barthet, Mark Sandler:
GOAT: A Large Dataset of Paired Guitar Audio Recordings and Tablatures. 655-662 - Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
STAGE: Stemmed Accompaniment Generation Through Prefix-Based Conditioning. 663-670 - Richa Namballa, Agnieszka Roginska, Magdalena Fuentes:
Do Music Source Separation Models Preserve Spatial Information in Binaural Audio?. 671-678 - Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer:
Estimating Musical Surprisal From Audio in Autoregressive Diffusion Model Noise Spaces. 679-687 - David Marttila, Joshua D. Reiss:
Improving Neural Pitch Estimation With SWIPE Kernels. 688-695 - Juan Carlos Martinez-Sevilla, Francesco Foscarin, Patricia García-Iasci, David Rizo, Jorge Calvo-Zaragoza, Gerhard Widmer:
Optical Music Recognition of Jazz Lead Sheets. 696-702 - Juan Pedro Martinez-Esteso, Alejandro Galán-Cuenca, Carlos Pérez-Sancho, Francisco J. Castellanos, Antonio Javier Gallego:
Human Vs. Machine: Comparing Selection Strategies in Active Learning for Optical Music Recognition. 703-709 - Haokun Tian, Stefan Lattner, Charalampos Saitis:
Assessing the Alignment of Audio Representations With Timbre Similarity Ratings. 710-718 - Filip Korzeniowski, Richard Vogl:
Simple and Effective Semantic Song Segmentation. 719-726 - Roser Batlle-Roca, Laura Ibáñez-Martínez, Xavier Serra, Emilia Gómez, Martín Rocamora:
MusGO: A Community-Driven Framework for Assessing Openness in Music-Generative AI. 727-738 - Darius Afchar, Gabriel Meseguer-Brocal, Kamil Akesbi, Romain Hennequin:
A Fourier Explanation of AI-Music Artifacts. 739-746 - Simon Librický, Jan Hajic jr.:
Modeling the Difficulty of Saxophone Music. 747-754 - Lancelot Blanchard, Perry Naseck, Stephen Brade, Kimaya Lecamwasam, Jordan Rudess, Cheng-Zhi Anna Huang, Joseph A. Paradiso:
The Jam_bot, a Real-Time System for Collaborative Free Improvisation With Music Language Models. 755-762 - Marcel A. Vélez Vásquez, Mariëlle Baelemans, Jonathan Driedger, John Ashley Burgoyne:
Fretboardflow: A Dual-Model Approach to Optimize Chord Voicings on the Guitar Fretboard. 763-770 - Tao-Tao He, Martin E. Malandro, Douglas Shadle:
The Florence Price Art Song Dataset and Piano Accompaniment Generator. 771-778 - Sarah Nabi, Nils Demerlé, Geoffroy Peeters, Frédéric Bevilacqua, Philippe Esling:
Adding Temporal Musical Controls on Top of Pretrained Generative Models. 779-786 - Jaehun Kim, Matthew C. McCallum, Andreas F. Ehmann:
Quantize & Factorize: A Fast Yet Effective Unsupervised Audio Representation Without Deep Learning. 787-796 - Parampreet Singh, Adwik Gupta, Aakarsh Mishra, Vipul Arora:
Identification and Clustering of Unseen Ragas in Indian Art Music. 797-804 - Yuxuan Liu, Peihong Zhang, Rui Sang, Zhixin Li, Shengchen Li:
MAIA: An Inpainting-Based Approach for Music Adversarial Attacks. 805-812 - Sunyoo Kim, Yunjeong Choi, Doyeon Lee, Seoyoung Lee, Eunyi Lyou, Seungju Kim, Junhyug Noh, Joonseok Lee:
Joint Object Detection and Sound Source Separation. 813-820 - Yutong Wen, Minje Kim, Paris Smaragdis:
User-Guided Generative Source Separation. 821-829 - Genís Plaja-Roglans, Xavier Serra, Martín Rocamora:
Singing Voice Separation From Carnatic Music Mixtures Using a Regression-Guided Latent Diffusion Model. 830-838 - Saurjya Sarkar, Victoria Moomijan, Basil Woods, Emmanouil Benetos, Mark Sandler:
Looking Beyond Averaged Metrics in Music Source Separation. 839-846 - Omar Eldeeb, Martin E. Malandro:
Barwise Section Boundary Detection in Symbolic Music Using Convolutional Neural Networks. 847-854
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