In recent years the task of downbeat tracking has received increasing attention and the state
of the art has been improved with the introduction of deep learning methods. Among …

Events in music frequently exhibit small-scale temporal deviations (microtiming), with
respect to the underlying regular metrical grid. In some cases, as in music from the Afro-Latin …

In this paper, we introduce a novel Conditional Random Field (CRF) system that detects the
downbeat sequence of musical audio signals. Feature functions are computed from four …

Analyzing and formalizing the intricate mechanisms of music is a very challenging goal for
Artificial Intelligence. Dealing with real audio recordings requires the ability to handle both …

This extended abstract presents two new algorithms for automatic chord estimation. Both of
them follows a Chordino-like approach as a framework, but a new statistical model, the …

Separating the singing from a polyphonic mixed audio signal is a challenging but important
task, with a wide range of applications across the music industry and music informatics …

Featured Application The proposed tempogram based on matching pursuit may benefit
many kinds of applications in the field of music information retrieval. On the one hand, it can …

For us humans, it seems natural to clap along with the rhythm of songs we hear. However, to
achieve the same for computers, we are still in the process of coming up with or improving …

This paper presents a novel semi-blind Audio Watermarking Algorithm in the Time Domain
with the use of Beat detection and Pitch Estimation. Using the estimated values of the beat …

Résumé Dans le domaine de l'extraction d'informations musicales, l'estimation de la
structure métrique d'un enregistrement audio tient une place importante, avec de …