47 citations · 146 across the 17 of their papers we have counts for
4 papers · 1 filter
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
Minz Won, Janne Spijkervet, Keunwoo Choi
Music classification is a music information retrieval (MIR) task to classify music items to labels such as genre, mood, and instruments. It is also closely related to other concept…
Emotion Embedding Spaces for Matching Music to Stories
Minz Won, Justin Salamon, Nicholas J. Bryan +2
Content creators often use music to enhance their stories, as it can be a powerful tool to convey emotion. In this paper, our goal is to help creators find music to match the emoti…
Semi-Supervised Music Tagging Transformer
Minz Won, Keunwoo Choi, Xavier Serra
We present Music Tagging Transformer that is trained with a semi-supervised approach. The proposed model captures local acoustic characteristics in shallow convolutional layers, th…
SpecTNT: a Time-Frequency Transformer for Music Audio
Wei-Tsung Lu, Ju-Chiang Wang, Minz Won +2
Transformers have drawn attention in the MIR field for their remarkable performance shown in natural language processing and computer vision. However, prior works in the audio proc…