Multitrack music transcription aims to transcribe a music audio input into the musical notes of
multiple instruments simultaneously. It is a very challenging task that typically requires a …

End-to-end generation of musical audio using deep learning techniques has seen an
explosion of activity recently. However, most models concentrate on generating fully mixed …

Conventional music structure analysis algorithms aim to divide a song into segments and to
group them with abstract labels (eg,'A','B', and 'C'). However, explicitly identifying the function …

In music information retrieval (MIR), beat tracking is one of the most fundamental tasks. To
obtain this critical component from rhythmic music signals, a previous beat tracking system …

Existing deraining Transformers employ self-attention mechanisms with fixed-range
windows or along channel dimensions, limiting the exploitation of non-local receptive fields …