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AImoclips: Benchmarking Emotion Conveyance in Text-to-Music Generation Using a Dimensional Valence-Arousal Framework

2026-05-15

Abstract excerpt

<title>Abstract</title> <p>Recent advances in text-to-music (TTM) generation have enabled controllable and expressive music creation using natural language prompts, yet the extent to which these systems faithfully convey intended emotions remains largely underexplored. In this study, we introduce AImoclips, a benchmark designed to evaluate emotion conveyance to human listeners in TTM systems using a dimensional v...

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Literature Corpus work
42cdbd45-b1eb-511f-b9b6-5ca88bdb940c
DOI
10.21203/rs.3.rs-9027741/v1
Open publication

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AImoclips: Benchmarking Emotion Conveyance in Text-to-Music Generation Using a Dimensional Valence-Arousal FrameworkDOI 10.21203/rs.3.rs-9027741/v1
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