Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier
Human capabilities of recognizing different type of music and grouping them into categories of genre are so remarkable that experts in music can perform such classification using their hearing senses and logical judgment. For decades now, the scientific community were involved in research to automat...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/46/ http://eprints.utem.edu.my/id/eprint/46/1/01800724_azilah.pdf |
| _version_ | 1848886877897097216 |
|---|---|
| author | Muda, N. A. Ahmad, S. Muda, A. K. |
| author_facet | Muda, N. A. Ahmad, S. Muda, A. K. |
| author_sort | Muda, N. A. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Human capabilities of recognizing different type of music and grouping them into categories of genre are so remarkable that experts in music can perform such classification using their hearing senses and logical judgment. For decades now, the scientific community were involved in research to automate the human process of recognizing genre of songs. These efforts would normally imitate the human method of recognizing the music by considering every essential component of the songs from artist voice, melody of the music through to the type of instruments used. As a result, various approaches or mechanisms are introduced and developed to automate the classification process. The results of these studies so far have been remarkable yet can still be improved. The aim of this research is to investigate Artificial Immune System
(AIS) domain by focusing on the modified AIS-based classifier to solve this problem where the focuses are the censoring and monitoring modules. In this highlight, stages of music recognition are emphasized where feature extraction, feature selection, and feature classification processes are explained. Comparison of performances between proposed classifier and WEKA application is discussed. |
| first_indexed | 2025-11-15T19:45:29Z |
| format | Conference or Workshop Item |
| id | utem-46 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:45:29Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-462015-05-28T02:16:35Z http://eprints.utem.edu.my/id/eprint/46/ Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier Muda, N. A. Ahmad, S. Muda, A. K. TA Engineering (General). Civil engineering (General) Human capabilities of recognizing different type of music and grouping them into categories of genre are so remarkable that experts in music can perform such classification using their hearing senses and logical judgment. For decades now, the scientific community were involved in research to automate the human process of recognizing genre of songs. These efforts would normally imitate the human method of recognizing the music by considering every essential component of the songs from artist voice, melody of the music through to the type of instruments used. As a result, various approaches or mechanisms are introduced and developed to automate the classification process. The results of these studies so far have been remarkable yet can still be improved. The aim of this research is to investigate Artificial Immune System (AIS) domain by focusing on the modified AIS-based classifier to solve this problem where the focuses are the censoring and monitoring modules. In this highlight, stages of music recognition are emphasized where feature extraction, feature selection, and feature classification processes are explained. Comparison of performances between proposed classifier and WEKA application is discussed. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/46/1/01800724_azilah.pdf Muda, N. A. and Ahmad, S. and Muda, A. K. (2011) Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier. In: Springer - Software Engineering and Computer Systems ICSECS 2011, 27 - 29 June, 2011, Pahang, Malaysia. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Muda, N. A. Ahmad, S. Muda, A. K. Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title | Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title_full | Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title_fullStr | Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title_full_unstemmed | Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title_short | Recognizing Patterns of Music Signals to Songs Classification Using Modified AIS-Based Classifier |
| title_sort | recognizing patterns of music signals to songs classification using modified ais-based classifier |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utem.edu.my/id/eprint/46/ http://eprints.utem.edu.my/id/eprint/46/1/01800724_azilah.pdf |