Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …

Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

This study investigates the independent influences of interchannel level difference (ICLD)
and interchannel time difference (ICTD) on the panning of 2-channel stereo phantom …

ABSTRACT AUDIO+ engages students, researchers, and industry professionals in a critical
dialogue on music production cultures, innovative technologies, and the pressing need for …

In this work, we propose a stereo recording spatial enhancement technique which retains
the original panning/source location, proportionally mapped into the perceived expanded …

The current paper focuses on the evaluation of the contribution of stereo information to
feature-based pattern classification for audio semantic analysis. In radio productions, where …

The automatic analysis of music stored as a digital audio signal requires a sophisticated
process of distilling information. For example, a three-minute song stored as uncompressed …

Recently the mixture spectrogram of a song is usually considered as a superposition of a
sparse spectrogram and a low-rank spectrogram, which correspond to the vocal part and the …