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Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles
[article]
2021
arXiv
pre-print
We present Mirable's submission to the 2021 Emotions and Themes in Music challenge. In this work, we intend to address the question: can we leverage semi-supervised learning techniques on music emotion recognition? With that, we experiment with noisy student training, which has improved model performance in the image classification domain. As the noisy student method requires a strong teacher model, we further delve into the factors including (i) input training length and (ii) complementary
arXiv:2112.00702v2
fatcat:nmedslhhmzdjxfuchbgeglheua