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 …

Rhythm belongs with harmony, melody, and timbre as one of the most fundamental aspects
of music. Sound by its very nature is temporal, and in its most generic sense, the word …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

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 …

Groove is often described as the experience of music that makes people tap their feet and
want to dance. A high degree of consistency in ratings of groove across listeners indicates …

Organising or browsing music collections in a musically meaningful way calls for tagging the
data in terms of eg rhythmic, melodic or harmonic aspects, among others. In some cases …

The aim of this overview is to describe methods for the automatic transcription of Western
polyphonic music. The transcription task is here understood as transforming an acoustic …

The extraction of tempo and beat information from music recordings constitutes a
challenging task in particular for non-percussive music with soft note onsets and time …

Musical agents which can interact with human musicians in concert situations are a reality,
though the extent to which they themselves embody human-like capabilities can be called …

The ever-growing amount of available music induces an increasing demand for Music
Information Retrieval (MIR) applications such as music recommendation applications or …