Dec 8, 2019   2:24 a.m. Marína
Academic information system

Summary of topics offered - Faculty of Materials Science and Technology in Trnava

Basic information

Type of work: Diploma thesis
Topic: Rozpoznávanie hudobných štýlov prostriedkami hlbokého učenia
Title of topic in English: Music styles recognition by deep learning
State of topic: approved (prof. Ing. Pavol Tanuška, PhD. - Study programme supervisor)
Thesis supervisor: doc. Ing. Peter Schreiber, CSc.
Faculty: Faculty of Materials Science and Technology in Trnava
Supervising department: Institute of Applied Informatics, Automation and Mechatronics - MTF
Max. no. of students: --
Academic year:2019/2020
Proposed by: doc. Ing. Peter Schreiber, CSc.
Summary: Vytvorte súbor nahrávok typických hudobných prejavov. Vytvorte aplikáciu na báze hlbokého učenia (deep learning), ktorá dokáže rozpoznať hudobný štýl aspoň medzi 4 - 5 rôznymi hudobnými žánrami.

Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Restrictions by study
The table shows restrictions by study to which the student has to be enrolled in order to sign up for the given topic.

I-AIPP Process Automation and Informatization in Industry

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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