Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has
a remarkable capacity to move our minds and bodies. How does the cognitive system …

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 …

Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …

Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

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 …

Beat tracking–ie deriving from a music audio signal a sequence of beat instants that might
correspond to when a human listener would tap his foot–involves satisfying two constraints …

In Music and Probability, David Temperley explores issues in music perception and
cognition from a probabilistic perspective. The application of probabilistic ideas to music has …

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 …

We report on the tempo induction contest organized during the International Conference on
Music Information Retrieval (ISMIR 2004) held at the University Pompeu Fabra in Barcelona …