Two-level Explanations in Music Emotion Recognition
Sound
2019-05-29 v1 Machine Learning
Audio and Speech Processing
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.
Cite
@article{arxiv.1905.11760,
title = {Two-level Explanations in Music Emotion Recognition},
author = {Verena Haunschmid and Shreyan Chowdhury and Gerhard Widmer},
journal= {arXiv preprint arXiv:1905.11760},
year = {2019}
}
Comments
ML4MD Workshop of the 36th International Conference on Machine Learning