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 …

Existing systems for automatic transcription of drum tracks from polyphonic music focus on
detecting drum instrument onsets but lack consideration of additional meta information like …

In this paper, we introduce a novel method for the automatic estimation of downbeat
positions from music signals. Our system relies on the computation of musically inspired …

We define a novel system for the automatic estimation of downbeat positions from audio
music signals. New rhythm and melodic features are introduced and feature adapted …

Supervised machine learning for music information retrieval requires a large annotated
training set, and is thus an expensive and time-consuming process. To circumvent this …

This thesis is about the automatic detection and classification of sound events (eg notes or
percussive sounds) in musical audio. It deals with four different sub-aspects, namely (i) the …

Within the creative industries, music information retrieval techniques are now being applied
in a variety of music creation and production applications. Audio artists incorporate …

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 …

Existing systems for automatic transcription of drum tracks from polyphonic music focus on
detecting drum instrument onsets but lack consideration of additional meta information like …

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 …