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 …

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 …

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 …

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 …

Music is a temporal art y in the banal sense that its tones are given in temporal succession.
yMusic is a temporal art in the more exact sense that, for its ends, it enlists time as force …

In this paper we present a novel method for jointly extracting beats and downbeats from
audio signals. A recurrent neural network operating directly on magnitude spectrograms is …

In this paper, we undertake a critical assessment of a stateof-the-art deep neural network
approach for computational rhythm analysis. Our methodology is to deconstruct this …

This paper outlines a cognitive and comparative perspective on human rhythmic cognition
that emphasizes a key distinction between pulse perception and meter perception. Pulse …

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 …

As an important format of multimedia, music has filled almost everyone's life. Automatic
analyzing of music is a significant step to satisfy people's need for music retrieval and music …