This paper introduces an architecture as a proof-of-concept for emotion detection and
regulation in smart health environments. The aim of the proposal is to detect the patient's …

This article is based on the assumption of musical power to change the listener's mood. The
paper studies the outcome of two experiments on the regulation of emotional states in a …

In this paper, we present tempo estimation and beat tracking algorithms by utilizing
percussive/harmonic separation of the audio signal, in order to extract filterbank energies …

The aim of the present work is to perform a step towards the design of specific algorithms
and methods for automatic music generation. A novel probabilistic model for the …

An approach for tempo estimation from musical pieces with near-constant tempo is
proposed. The method consists of three main steps: measuring the degree of musical accent …

Most current tempo estimation algorithms suffer from the so-called octave estimation
problems (estimating twice, thrice, half or one-third of a reference tempo). However, it is …

The author's goal in this paper is to explore how artificial intelligence (AI) has been utilised
to inform our understanding of and ability to estimate at scale a critical aspect of musical …

In this paper we present beat histogram features for multiple level rhythm description and
evaluate them in a musical genre classification task. Audio features pertaining to various …

Prior research has shown that musical beats are salient at the level of the cortex in humans.
Yet below the cortex there is considerable sub-cortical processing that could influence beat …

It has been shown that the harmonic series at the tempo frequency of the onset-strength-
function of an audio signal accurately describes its rhythm pattern and can be used to …