Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition

This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-arousal (V-A) emotional space. We propose a method based on convolutional (CNN) and recurrent neural networks (RNN), having significantly fewer parameters compared with the state-of-the-art method for the same task. We utilize one CNN layer followed by two branches of RNNs trained separately for arousal and valence. The method was evaluated using the 'MediaEval2015 emotion in music' dataset. We achieved an RMSE of 0.202 for arousal and 0.268 for valence, which is the best result reported on this dataset.Comment: Accepted for Sound and Music Computing (SMC 2017

Computers and the Teaching of the Technical Subject

The contribution deals with the use of computers in the technical subject teaching. It shows more common view on the possibilities of the computer use. It also shows that there is a lin to concrete conditions of the use of computers. So there is not only one common solution of the problem. It is necessary to respect the conditions of each subject and school.<br /><br /

Photonics for MS study in Radiocommunications

ABSTRACT The paper is devoted to an education of Photomcs at the Dept. of Telecommunications, Faculty of Electrical Engineering, at the University of Zilina. Originated from the university historical development the photonic subjects are implemented in two basic areas: Telecommunication Technology and Radiocommunication Technology. From the school year 1994/95 the new subject Photomcs has been taught ad it has attracted numerous students. The subject is focused on both physical principles and system application. The relevant parts can be listed as: interaction photon -matter, photonic receivers and transmitters, modulation and demodulation in Photomcs, photomc networks -narrowband and wideband, photonic switches, image sensors and displays. The education of Photonics has been supported by research activities in the field of applied photomc system for signal (data) transmission and selected results have been implemented into the subject structure. The paper listed a detailed content of the subject in two fields: lectures and experimental laboratory excercises. As an integral part of the course we plan to implement selected experiments from the area of 2D photonic (image) processing and to expand the imaging photomc part