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cs.SD2025
Vo-Ve: An Explainable Voice-Vector for Speaker Identity Evaluation
Jaejun Lee, Kyogu Lee
In this paper, we propose Vo-Ve, a novel voice-vector embedding that captures speaker identity. Unlike conventional speaker embeddings, Vo-Ve is explainable, as it contains the pro…
cs.SD2024
Do Captioning Metrics Reflect Music Semantic Alignment?
Jinwoo Lee, Kyogu Lee
Music captioning has emerged as a promising task, fueled by the advent of advanced language generation models. However, the evaluation of music captioning relies heavily on traditi…
cs.SD2023★ 1 cited
Combinatorial music generation model with song structure graph analysis
Seonghyeon Go, Kyogu Lee
In this work, we propose a symbolic music generation model with the song structure graph analysis network. We construct a graph that uses information such as note sequence and inst…