Humans possess an ability to perceive and synchronize movements to the beat in music
('beat perception and synchronization'), and recent neuroscientific data have offered new …

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 …

This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …

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 …

We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

This paper reviews the state-of-the-art in automatic genre classification of music collections
through three main paradigms: expert systems, unsupervised classification, and supervised …

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 …

We present a simple and efficient method for beat tracking of musical audio. With the aim of
replicating the human ability of tap** in time to music, we formulate our approach using a …

We propose a multi-task learning approach for simultaneous tempo estimation and beat
tracking of musical audio. The system shows state-of-the-art performance for both tasks on a …

BeatRoot is an interactive beat tracking and metrical annotation system which has been
used for several years in studies of performance timing. This paper describes improvements …