In Western popular music, drums and percussion are an important means to emphasize and
shape the rhythm, often defining the musical style. If computers were able to analyze the …

The analysis of musical signals to extract audio descriptors that can potentially characterize
their timbre has been disparate and often too focused on a particular small set of sounds …

As machines become more and more portable, and part of our everyday life, it becomes
apparent that developing interactive and ubiquitous systems is an important aspect of new …

The expressive variability in producing a musical note conveys information essential to the
modeling of orchestration and style. As such, it plays a crucial role in computer-assisted …

La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …

In this study, we proposed a new end-to-end convolutional neural network, called MS-
SincResNet, for music genre classification. MS-SincResNet appends 1D multi-scale SincNet …

This paper presents a novel method to detect and distinguish ten frequently used audio
effects in recordings of electric guitar and bass. It is based on spectral analysis of audio …

Smart musical instruments are a class of IoT devices for music making, which encompass
embedded intelligence as well as wireless connectivity. In previous work, we established …

We present a feature generation system designed to create audio features for supervised
classification tasks. The main contribution to feature generation studies is the notion of …

ABSTRACT A system that segments and labels tabla strokes from real performances is
described. Performance is evaluated on a large database taken from three performers under …