Detectarea automată a genurilor muzicale

Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2012, Vol 5, Issue 1

Abstract

Această lucrare descrie şi aplică diferite metode ce folosesc un calculator pentru a determina apartenenţa la un anumit gen muzical a unui fişier audio. Algoritmii au fost testaţi pe colecţiile de date MagnaTune şi MARSYAS, dar instrumentele software implementate pot fi folosite pe o gamă variată de surse. Instrumentele vor face parte dintr-un sistem software mai larg numit ADAMS (Advanced Dynamic Analysis of Music Software) dezvoltat de autori. Acest sistem este bazat pe biblioteca open-source MARSYAS şi conţine un modul similar cu WEKA pentru sarcini de „data mining” şi „machine learning”.

Authors and Affiliations

Adrian Simion, Stefan Trausan-Matu

Keywords

Related Articles

Testarea versiunii beta a unei componente de recunoaştere dinamică a limbii – rezultate preliminare 

Recunoaşterea automată a limbii în care este scris un text face parte din categoria generală a sarcinilor (recunoaşterea este o problemă, o sarcină, o aplicaţie, care se rezolvă pe baza unui algoritm), de clasificare a t...

Approaches in Automatic Usability Evaluation. Comparative Study

Usability testing is a growing field with more and more companies getting aware of the importance of assuring a good usability of their products. Specialists conduct the tests and they use various kinds of tools to help...

Case Study: Automatic Identification of Romanian Suffixes

Assuming the perspective of automatically identifying derived words and their bases in the Romanian wordnet, with the aim of enriching it with derivational relations and semantic labels associated to them, in this articl...

ObDroid: An Android permanent monitoring application using the observer pattern

Nowadays, mobile devices are the most important gadgets from our lives. We use smartphones and tablets for many activities: communication, instant messaging, emails, multimedia content sharing, social networks, e-banking...

Software tools for the analysis of sublimal testing tasks in facial microexpressions recognition

The facial microexpresions had been situated in the main stream of research for over 5 decades. Therefore, Eakman highlighted two main directions: the possibility to learn the facial microepressions and to learn how to c...

Download PDF file
  • EP ID EP130082
  • DOI -
  • Views 116
  • Downloads 0

How To Cite

Adrian Simion, Stefan Trausan-Matu (2012). Detectarea automată a genurilor muzicale. Revista Romana de Interactiune Om-Calculator, 5(1), 111-128. https://europub.co.uk/articles/-A-130082