In recent years, psychological models of perception have undergone reevaluation due to a
broadening of focus toward understanding not only how observers perceive stimuli but also …

This paper proposes a system for score‐informed audio source separation for multichannel
orchestral recordings. The orchestral music repertoire relies on the existence of scores …

Score information has been shown to improve music source separation when included into
non-negative matrix factorization (NMF) frameworks. Recently, deep learning approaches …

Informed source separation has recently gained renewed interest with the introduction of
neural networks and the availability of large multitrack datasets containing both the mixture …

This paper combines Audio Signal Processing and Virtual Reality (VR) content to create
novel immersive experiences for orchestral music audiences. In VR, the auralization of …

Classical music is associated with a set of social and cognitive barriers that prevent
potentially interested novice classical music listeners from attending concerts. The possible …

Non-negative matrix factorization (NMF) is a recently developed, biologically inspired
method for nonlinearly finding purely additive, sparse, linear, low-dimension representations …

To enhance the experience of listening to classical orchestra music, either in the concert hall
or at home, we present a personalized system that integrates three visualization/interaction …

This paper introduces a new unsupervised and score-informed method for the segmentation
of singing voice into syllables. The main idea of the proposed method is to detect the …

Imagine sitting in a room listening to some friends play a song. Perhaps one friend is playing
guitar, another playing bass, and a third is playing drums. The musical content in this scene …