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arXiv · 2606.29273

A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment

Rashini Liyanarachchi·Frank Tran·Md Mahmudul Hasan·Aditya Joshi·Erik Meijering
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Abstract

Emotion recognition of song lyrics is a challenging task since lyrics may not necessarily align with the overall emotion of a song. As a result, lyrics annotation remains largely underexplored. Drawing inspiration from research in large language model (LLM) assisted annotation, we examine the alignment between humans and LLMs for annotation of lyrics by creating a new sentence-level dataset of lyrics. Our observations highlight the subjectivity of the task and the inherent challenges. Following this, we present a hybrid annotation framework that optimizes human and LLM annotation by predicting potential misalignment in annotation.

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Rashini Liyanarachchi, Frank Tran, Md Mahmudul Hasan, Aditya Joshi, Erik Meijering. 2026-06-28. A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment. https://arxiv.org/abs/2606.29273

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