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Volume 303: 1st International Workshop on Emerging AI Technologies for Music, 26 January 2026, Singapore, Singapore
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Editors: Dorien Herremans, Keshav Bhandari, Abhinaba Roy, Simon Colton, Mathieu Barthet
Prevailing Research Areas for Music AI in the Era of Foundation Models
; Proceedings of Machine Learning Research, PMLR 303:1-23
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Low-Resource Rhythm Learning of South Asian Beat Structures: Machine Learning Approaches to Nattuvangam
; Proceedings of Machine Learning Research, PMLR 303:1-17
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Artificial Dancing Intelligence: Neural Cellular Automata for Visual Performance of Music
; Proceedings of Machine Learning Research, PMLR 303:1-14
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The Circle of Fifths as Latent Geometry in Bach’s Well-Tempered Clavier
; Proceedings of Machine Learning Research, PMLR 303:1-13
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Silence as Music: Controllable and Interpretable AI for Strategic Silence Placement
; Proceedings of Machine Learning Research, PMLR 303:1-13
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Neural Codec Language Model for Controllable Timbre Transfer in Music Synthesis
; Proceedings of Machine Learning Research, PMLR 303:1-13
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TS-RaMIA: Membership Inference Attacks for Symbolic Music Generation Models
; Proceedings of Machine Learning Research, PMLR 303:1-15
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Encoder-Only Transformers for Melodic Harmonization: Representation Emergence and Inference Strategies
; Proceedings of Machine Learning Research, PMLR 303:1-11
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Conditional Vocal Timbral Technique Conversion via Embedding-Guided Dual Attribute Modulation
; Proceedings of Machine Learning Research, PMLR 303:1-14
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A Novel Diffusion Model Based Approach for Sleep Therapeutic Music Generation
; Proceedings of Machine Learning Research, PMLR 303:1-15
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Investigating Timbre Representations in CLAP Across Modalities via Perturbations
; Proceedings of Machine Learning Research, PMLR 303:1-12
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SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications
; Proceedings of Machine Learning Research, PMLR 303:1-21
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Postscript on the Musics of Control
; Proceedings of Machine Learning Research, PMLR 303:1-16
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LLMs can read music, but struggle to hear it. An evaluation of core music perception tasks
; Proceedings of Machine Learning Research, PMLR 303:1-27
Emerging AI Technologies for Music: Towards Controllable, Collaborative, and Creative Systems
; Proceedings of Machine Learning Research, PMLR 303:1-5
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