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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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/156/ http://eprints.utem.edu.my/id/eprint/156/1/Modified_AIS-Based_Classifier_for_Music_Genre_Classification.pdf |
| _version_ | 1848886893417070592 |
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| author | Muda, N. A. |
| author_facet | Muda, N. A. |
| author_sort | Muda, N. A. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T19:45:44Z |
| format | Conference or Workshop Item |
| id | utem-156 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:45:44Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-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. |
| spellingShingle | QA76 Computer software Muda, N. A. MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION |
| title | 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_short | MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE
CLASSIFICATION |
| title_sort | modified ais-based classifier for music genre
classification |
| topic | QA76 Computer software |
| url | http://eprints.utem.edu.my/id/eprint/156/ http://eprints.utem.edu.my/id/eprint/156/1/Modified_AIS-Based_Classifier_for_Music_Genre_Classification.pdf |