In this paper, we propose a rhythmically informed method for onset detection in polyphonic
music. Music is highly structured in terms of the temporal regularity underlying onset …

In this paper we explore the relationship between the temporal and rhythmic structure of
musical audio signals. Using automatically extracted rhythmic structure we present a …

Note onset detection is one of the most investigated tasks in Music Information Retrieval
(MIR) and various detection methods have been proposed in previous research. The …

The goal of music information retrieval (MIR) is to develop novel strategies and techniques
for organizing, exploring, accessing, and understanding music data in an efficient manner …

The field of computational ethnomusicology has drawn growing attention by researchers in
the music information retrieval community. In general, subjects are considered that are …

In this paper a convolutional neural network is applied to the problem of note onset detection
in audio recordings. Two time-frequency representations are analysed, showing the …

The problem of note onset detection in musical signals is considered. The proposed solution
is based on known approaches in which an onset detection function is defined on the basis …

This paper proposes an effective algorithm for polyphonic audio-to-score alignment that
aligns a polyphonic music performance to its corresponding score. The proposed framework …

Music signals are complex. When musicians play together, their instruments' sounds
superimpose and form a single complex sound mixture. Furthermore, even the sound of a …

Music signal analysis is a research field concerning the extraction of meaningful information
from musical audio signals. This thesis analyses the music signals from the note-level to the …