We explore the potential of a popular distributional semantics vector space model,
word2vec, for capturing meaningful relationships in ecological (complex polyphonic) music …

In this paper we examine the applicability of the trajectory of fifths as a source of knowledge
in automated music classification processes. The study shows that such trajectories provide …

This paper compares approaches to music key detection based on popular key-profiles with
a new key detection method that utilizes the concept of the signature of fifths. The signature …

This article presents a new concept of a music piece's content representation using the so-
called trajectory of fifths. The herein proposed approach is an enhancement to the music …

The paper presents the key-finding algorithm based on the music signature concept. The
proposed music signature is a set of 2-D vectors which can be treated as a compressed form …

The algorithm presented in this paper provides the means for the real-time recognition of the
key signature associated with a given piece of music, based on the analysis of a very small …

The signature of fifths is a special kind of music representation technique enabling
acquisition of musical knowledge. The technique is based on geometrical relationships …

Tonal structure is in part conveyed by statistical regularities between musical events, and
research has shown that computational models reflect tonal structure in music by capturing …

The ability to extract meaningful relationships from sequences is crucial to many aspects of
perception and cognition, such as speech and music. This paper explores how leading …

This paper presents several models for constructing geometrical spaces from acoustical
representations. Through specific spectral representations and associated distance …