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MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION

Automating human capabilities for classifying different genre of songs is a difficult task. This has led to various studies that focused on finding solutions to solve this problem. Analyzing music contents (often referred as content- based analysis) is one of many ways to identify and group sim...

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Main Author: Muda, N. A.
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
QA76 Computer software
Online Access:http://eprints.utem.edu.my/id/eprint/156/1/Modified_AIS-Based_Classifier_for_Music_Genre_Classification.pdf
http://eprints.utem.edu.my/id/eprint/156/
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spelling my.utem.eprints.1562015-05-28T02:17:02Z http://eprints.utem.edu.my/id/eprint/156/ MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION Muda, N. A. QA76 Computer software Automating human capabilities for classifying different genre of songs is a difficult task. This has led to various studies that focused on finding solutions to solve this problem. Analyzing music contents (often referred as content- based analysis) is one of many ways to identify and group similar songs together. Various music contents, for example beat, pitch, timbral and many others were used and analyzed to represent the music. To be able to manipulate these content representations for recognition: feature extraction and classification are two major focuses of investigation in this area. Though various classification techniques proposed so far, we are introducing yet another one. The objective of this paper is to introduce a possible new technique in the Artificial Immune System (AIS) domain called a modified immune classifier (MIC) for music genre classification. MIC is the newest version of Negative Selection Algorithm (NSA) where it stresses the self and non-self cells recognition and a complementary process for generating detectors. The discussion will detail out the MIC procedures applied and the modified part in solving the classification problem. At the end, the results of proposed framework will be presented, discussed and directions for future work are given. 2010 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/156/1/Modified_AIS-Based_Classifier_for_Music_Genre_Classification.pdf Muda, N. A. (2010) MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION. In: 11th International Society for Music Information Retrieval Conference, 9 - 13 August 2010, Utrecht, Netherlands.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Muda, N. A.
MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
description Automating human capabilities for classifying different genre of songs is a difficult task. This has led to various studies that focused on finding solutions to solve this problem. Analyzing music contents (often referred as content- based analysis) is one of many ways to identify and group similar songs together. Various music contents, for example beat, pitch, timbral and many others were used and analyzed to represent the music. To be able to manipulate these content representations for recognition: feature extraction and classification are two major focuses of investigation in this area. Though various classification techniques proposed so far, we are introducing yet another one. The objective of this paper is to introduce a possible new technique in the Artificial Immune System (AIS) domain called a modified immune classifier (MIC) for music genre classification. MIC is the newest version of Negative Selection Algorithm (NSA) where it stresses the self and non-self cells recognition and a complementary process for generating detectors. The discussion will detail out the MIC procedures applied and the modified part in solving the classification problem. At the end, the results of proposed framework will be presented, discussed and directions for future work are given.
format Conference or Workshop Item
author Muda, N. A.
author_facet Muda, N. A.
author_sort Muda, N. A.
title MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
title_short MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
title_full MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
title_fullStr MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
title_full_unstemmed MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION
title_sort modified ais-based classifier for music genre classification
publishDate 2010
url http://eprints.utem.edu.my/id/eprint/156/1/Modified_AIS-Based_Classifier_for_Music_Genre_Classification.pdf
http://eprints.utem.edu.my/id/eprint/156/
_version_ 1665905234245844992
score 13.211869

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