Abstract

Lately, song industry has developed rapidly throughout the world. In the past, there were many applications which used song as their main themes, such as Shazam and Sound hound. Shazam and Sound hound could identify a song based on recorded one through the application. These applications work by matching the recorded song with an original song in the database. However, matching process is only based on the particular part of the spectrogram instead of an entire song's spectrogram. The disadvantages of this method arise though. This application could only identify the recorded original song. When application recorded a cover song, it cannot identify the title of the original song's since the spectrogram of a cover performance's and its original song's is entirely different. This paper exists to discuss how to recognize a cover song based on MPEG-7 standard ISO. KNN was used as classification method and combined with Audio Spectrum Projection and Audio Spectrum Flatness feature from MPEG-7 extraction. The result from this method identifies an original song from recorded cover of the original one. Result for experiment in this paper is about 75-80%, depends on testing data; whether the testing data is a dominant vocal song or dominant instrument song.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsLala Septem Riza, Andri Pranolo, Aji Prasetyo Wibawa, Enjun Junaeti, Yaya Wihardi, Ummi Raba'ah Hashim, Shi-Jinn Horng, Rafal Drezewski, Heui Seok Lim, Goutam Chakraborty, Leonel Hernandez, Shah Nazir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages59-65
Number of pages7
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 1 Jul 2017
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • KNN
  • MPEG-7
  • cover song recognition

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