The Emotional Effect of Semi Classical Carnatic Music using Linguistic Aggregated Fuzzy Relational Maps
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10.5120/19951-1767 |
Victor A Devadoss and S Aseervatham. Article: The Emotional Effect of Semi Classical Carnatic Music using Linguistic Aggregated Fuzzy Relational Maps. International Journal of Computer Applications 114(2):26-32, March 2015. Full text available. BibTeX
@article{key:article,
author = {A. Victor Devadoss and S. Aseervatham},
title = {Article: The Emotional Effect of Semi Classical Carnatic Music using Linguistic Aggregated Fuzzy Relational Maps},
journal = {International Journal of Computer Applications},
year = {2015},
volume = {114},
number = {2},
pages = {26-32},
month = {March},
note = {Full text available}
}
Abstract
People's primary motivation for listening to music is its emotional effect. Assigning musical emotion to a song segment in a deterministic way does not work well because not all people share the same feeling for a song. The success of becoming a hit song from the same raga song among people is its musical features within the song. The subjective nature of listening knowledge of human to different Carnatic raga perception suggests that fuzzy logic is a more appropriate tool for an unsupervised data. This paper deals with the Linguistic Aggregated Fuzzy Relational Maps which is the combination of the linguistic variables with their aggregation and Fuzzy Relational Maps. LAFRMs method is mostly used for humans' expression or feelings expressed for the causes and its effects in terms of linguistic languages. The process of expressing linguistic knowledge is described as unsupervised data. The problem of musical emotions caused by thirteen Carnatic ragas based Tamil songs were analyzed using LAFRMs. This is the first attempt of using fuzzy tool to analyze this problem. The result shows the effectiveness of the proposed method for the application in this linguistic environment.
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