The paper presents a comparative study of music features derived from audio recordings, i.e. the same music pieces but representing different music genres, excerpts performed by different musicians, and songs performed by a musician, whose style evolved over time. Firstly, the origin and the background of the division of music genres were shortly presented. Then, several objective parameters of an audio signal were recalled that have an easy interpretation in the context of perceptual relevance. Within the study parameter values were extracted from music excerpts, gathered and compared to determine to what extent they are similar within the songs of the same performer or samples representing the same piece
This study applied a multi-dimensional scaling approach to isolating a number of perceptual dimensio...
UID/EAT/00693/2013This paper enquires into the ways in which listeners perceive certain practices of...
Using data mining techniques, including co-occurrence analysis, for the purpose of discovering simil...
International audienceThis paper focuses on emotion recognition and under-standing in Contemporary W...
The automatic analysis of large musical corpora by means of computational models overcomes some limi...
In the physical sciences and engineering domains, music has traditionally been considered an acousti...
Abstract. During the creative process music composers draw on mechanisms in order to convey emotion ...
Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single m...
Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic data, and ot...
Abstract. Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic da...
Presented thesis summarizes existing findings in the problematics of music recording comparison, in ...
Abstract: In this research, we analyze how the sound and music relate to humans from the aspect of K...
A listening experiment was conducted to investigate which musical instruments are the most important...
This work deals with the analysis of parameters related to the dynamics of sound recordings. It cont...
We describe and test the methodological set up for a web-based listening experiment that assesses th...
This study applied a multi-dimensional scaling approach to isolating a number of perceptual dimensio...
UID/EAT/00693/2013This paper enquires into the ways in which listeners perceive certain practices of...
Using data mining techniques, including co-occurrence analysis, for the purpose of discovering simil...
International audienceThis paper focuses on emotion recognition and under-standing in Contemporary W...
The automatic analysis of large musical corpora by means of computational models overcomes some limi...
In the physical sciences and engineering domains, music has traditionally been considered an acousti...
Abstract. During the creative process music composers draw on mechanisms in order to convey emotion ...
Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single m...
Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic data, and ot...
Abstract. Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic da...
Presented thesis summarizes existing findings in the problematics of music recording comparison, in ...
Abstract: In this research, we analyze how the sound and music relate to humans from the aspect of K...
A listening experiment was conducted to investigate which musical instruments are the most important...
This work deals with the analysis of parameters related to the dynamics of sound recordings. It cont...
We describe and test the methodological set up for a web-based listening experiment that assesses th...
This study applied a multi-dimensional scaling approach to isolating a number of perceptual dimensio...
UID/EAT/00693/2013This paper enquires into the ways in which listeners perceive certain practices of...
Using data mining techniques, including co-occurrence analysis, for the purpose of discovering simil...