Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

The steep rise in music downloading over CD sales has created a major shift in the music
industry away from physical media formats and towards online products and services. Music …

A method is described which analyzes the basic pattern of beats in a piece of music, the
musical meter. The analysis is performed jointly at three different time scales: at the …

ABSTRACT Music Information Retrieval systems are commonly built on a feature extraction
stage. For applications involving automatic classification (eg speech/music discrimination …

Separating singing voice from music accompaniment is very useful in many applications,
such as lyrics recognition and alignment, singer identification, and music information …

In this paper, we evaluate various onset detection algorithms in terms of their online
capabilities. Most methods use some kind of normalization over time, which renders them …

The concatenative real-time sound synthesis system CataRT plays grains from a large
corpus of segmented and descriptor-analysed sounds according to proximity to a target …

We explore some of the consequences of dark-matter–photon interactions on structure
formation, focusing on the evolution of cosmological perturbations and performing both an …

A plethora of different onset detection methods have been proposed in the recent years.
However, few attempts have been made with respect to widely-applicable approaches in …