activity
20202026
most citedEMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

30 citations · 52 across the 25 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

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.IR2026

Overview and Analysis of the RecSys Challenge 2026: Conversational Music Recommendation

Seungheon Doh, Sergio Oramas, Bruno Sguerra +3

The RecSys Challenge 2026 studies conversational music recommendation as a joint item recommendation and response generation problem: given a multi-turn dialogue, systems must retr…

cs.IR2026★ 1 cited

LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation

Seungheon Doh, Bruno Sguerra, Sergio Oramas +2

Conversational Recommendation Systems (CRS) aim to achieve two primary objectives: recommending relevant items and generating natural language responses. While recommendation accur…

cs.MM2026

Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking

Seungheon Doh, Minhee Lee, Sangmoon Lee +2

We present VTMR, a two-stage framework for Video-To-Music Recommendation. In Stage~1, VTMR aligns comprehensive video and music signals in a joint audio-visual-text representation…

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…