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arXiv · 1905.11760

Two-level Explanations in Music Emotion Recognition

Verena Haunschmid·Shreyan Chowdhury·Gerhard Widmer
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Abstract

Current ML models for music emotion recognition, while generally working quite well, do not give meaningful or intuitive explanations for their predictions. In this work, we propose a 2-step procedure to arrive at spectrogram-level explanations that connect certain aspects of the audio to interpretable mid-level perceptual features, and these to the actual emotion prediction. That makes it possible to focus on specific musical reasons for a prediction (in terms of perceptual features), and to trace these back to patterns in the audio that can be interpreted visually and acoustically.

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Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer. 2019-05-28. Two-level Explanations in Music Emotion Recognition. https://arxiv.org/abs/1905.11760

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