Featured Application Domestic cats are ancient human pet animal that communicate
through generating sounds. Automatic animal sound classification creates a better human …

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 …

Interestingly, several researchers have employed generative modeling methods for SER.
The usage of Gaussian mixture modeling (GMM) with a universal background model was …

This article addresses a problem arising within the paralinguistic audio signal processing
domain—that of classifying the state of an infant based on the patterns exhibited by the …

Computational Auditory Scene Analysis (CASA) is typically achieved by statistical models
trained offline on available data. Their performance relies heavily on the assumption that the …

Following the success in Music Information Retrieval (MIR), research is now steering
towards understanding the relationship existing between brain activity and the music stimuli …

The spreading of urban areas and the growth of human population worldwide raise societal
and environmental concerns. To better address these concerns, the monitoring of the …

Simple Summary Cat vocalizations are their basic means of communication. They are
particularly important in assessing their welfare status since they are indicative of …

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 …

The advanced smart home environment presents an important trend for the future of human
wellbeing. One of the prerequisites for applying its rich functionality is the ability to …