Two-level Explanations in Music Emotion Recognition
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 36 th International Conference on Machine Learning
Original Kurzfassung:
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.