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20242026
most citedTowards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio

1 citations · 2 across the 13 of their papers we have counts for

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cs.SD2026

Agentic Music Post-Production

Jaywon Koo, Junghyun Koo, Marco A. Martinez-Ramirez +5

We introduce MixAgent, an agentic pipeline for music post-production that follows the workflow of audio engineers to build interpretable and editable mixing plans guided by a refer…

cs.SD2026

Training Music Sample Identification Models on Real Sample Pairs

R. Oguz Araz, Joan Serrà, Xavier Lizarraga-Seijas +4

Sample identification (SI) is the task of matching pairs of tracks, where one track is created by musically transforming an element of the other. In the absence of sample annotatio…

cs.SD2026

On the Human and Computer Alignment of Attribute-Based Music Matches

Roser Batlle-Roca, Woosung Choi, Joan Serrà +5

Recent advances in generative AI are raising ethical concerns regarding the originality of generated content and the potential replication of training data, with further implicatio…

cs.SD2026

Exploring the Design Space of Representation Learning for Audio Transformations

Sungho Lee, Marco Martínez-Ramírez, Junghyun Koo +3

Neural audio representation learning has enabled a range of content-oriented applications, but the resulting features remain limited for tasks involving audio processing. Furthermo…

cs.SD2026

Unified Music Identification for Tracks and Versions

R. Oguz Araz, Joan Serrà, Yuki Mitsufuji +2

Given a music database, track identification (TI) retrieves the exact track matching an audio excerpt, whereas version identification (VI) retrieves its musical versions. Tradition…

cs.SD2026

Woosh: A Sound Effects Foundation Model

Gaëtan Hadjeres, Marc Ferras, Khaled Koutini +7

The audio research community depends on open generative models as foundational tools for building novel approaches and establishing baselines. In this report, we present Woosh, Son…

cs.SD2026

LLM2Fx-Tools: Tool Calling For Music Post-Production

Seungheon Doh, Junghyun Koo, Marco A. Martínez-Ramírez +5

This paper introduces LLM2Fx-Tools, a multimodal tool-calling framework that generates executable sequences of audio effects (Fx-chain) for music post-production. LLM2Fx-Tools uses…