In this tutorial, we give an introduction to the field of and state of the art in music information
retrieval (MIR). The tutorial particularly spotlights the question of music similarity, which is an …

In this paper, we introduce the use of conditional random fields (CRFs) for the audio-to-score
alignment task. This framework encompasses the statistical models which are used in the …

Nowadays computers play an important role in all areas of music, from composition to
production and live performance. This is obvious for all kinds of popular music, where …

This paper studies the problem of automatically generating piano score following videos
given an audio recording and raw sheet music images. Whereas previous works focus on …

Virtual musicians have become a remarkable phenomenon in the contemporary multimedia
arts. However, most of the virtual musicians nowadays have not been endowed with abilities …

Performance-score synchronization is an integral task in signal processing, which entails
generating an accurate mapping between an audio recording of a performance and the …

The paper describes a simple but effective method for incorporating automatically learned
tempo models into realtime music tracking systems. In particular, instead of training our …

In this article, we present an online score following framework designed to deal with
automatic accompaniment. The proposed framework is based on spectral factorization and …

The identification of structural differences between a music performance and the score is a
challenging yet integral step of audio-to-score alignment, an important subtask of music …

This thesis addresses several shortcomings on the current state of the art methodologies in
music information retrieval (MIR). In particular, it proposes several computational …