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Paper Details
Paper Title
Mood Based Hindi Songs Classification System Invariance of MFCC Feature Extraction Technique
Authors
Jadav Komal K.
Abstract
- Listening music in spare or free time is one of the best choices for most of the people. Music and Mood are closely linked together. Music shares a very special relation with human emotions or feelings. People are use to listen songs as per their mood. This paper proposes Hindi songs classification system based on mood using MFCC value of audio clip. MFCC value mainly gives the power value of song. Based on that value classification algorithm is applied to check whether that song belongs to which categories like happy, sad, romantic kind of mood based songs are addressed from dataset.
Keywords- MFCC, music, mood detection, Music classification system .
Publication Details
Unique Identification Number - IJEDR1602111Page Number(s) - 642-647Pubished in - Volume 4 | Issue 2 | May 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Jadav Komal K., "Mood Based Hindi Songs Classification System Invariance of MFCC Feature Extraction Technique", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.642-647, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602111.pdf
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