Music genre recognition based on visual representation has been successfully explored
over the last years. Classifiers trained with textural descriptors (eg, Local Binary Patterns …

Cochlear implants (CIs) have been remarkably successful at restoring hearing in severely-to-
profoundly hearing-impaired individuals. However, users often struggle to deconstruct …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

Empirical studies of emotions in music have described therole of individual musical features
in recognizing particular emotions. However, no attempts have been made as yet to …

The aim of this article is to investigate whether separating music tracks at the pre-processing
phase and extending feature vector by parameters related to the specific musical …

This paper presents a non-conventional approach for the automatic music genre
classification problem. The proposed approach uses multiple feature vectors and a pattern …

In this paper we focus on the automatic identification of bird species from their audio
recorded song. Bird monitoring is important to perform several tasks, such as to evaluate the …

With increasing amounts of music being available in digital form, research in music
information retrieval has turned into a dominant field to support organization of and easy …

Most feature extraction algorithms for music audio signals use Fourier transforms to obtain
coefficients that describe specific aspects of music information within the sound spectrum …

This paper presents two novel hierarchical classification methods which are extensions of a
previously proposed selective classifier top-down approach, which consists of selecting …