Music source separation (MSS) aims to separate a music recording into
mu...
Multitrack music transcription aims to transcribe a music audio input in...
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
Music structure analysis (MSA) systems aim to segment a song recording i...
Transfer learning (TL) approaches have shown promising results when hand...
Feature representations derived from models pre-trained on large-scale
d...
Transformer is a successful deep neural network (DNN) architecture that ...
Conventional music structure analysis algorithms aim to divide a song in...
We propose a dataset, AVASpeech-SMAD, to assist speech and music activit...
Most music source separation systems require large collections of isolat...
Music source separation is a core task in music information retrieval wh...
The assessment of music performances in most cases takes into account th...
Music creation involves not only composing the different parts (e.g., me...
Timbre and pitch are the two main perceptual properties of musical sound...
For many music analysis problems, we need to know the presence of instru...
Instrument recognition is a fundamental task in music information retrie...
A model for hit song prediction can be used in the pop music industry to...