Papers by David Lindevelt

1 papers
The Correlation Between Emotion in Text and Speech Segments is Limited: A Cross-Modal Study (2026.findings-eacl)

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Challenge: a recent study has shown that text-to-speech systems can capture human-like emotion, but they lack the ability to predict emotion in speech.
Approach: They propose to use 8 large language models for identifying emotion in text and 2 audio models for emotion in speech to investigate the correlation between emotion and speech.
Outcome: The proposed models perform well on emotion recognition from situational text and audiobooks, but show weak correlation for Valence only.

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