Thursday 28th of March 2024
 

Tag Based Audio Search Engine


Parameswaran Vellachu and Sunitha Abburu

The volume of the music database is increasing day by day. Getting the required song as per the choice of the listener is a big challenge. Hence, it is really hard to manage this huge quantity, in terms of searching, filtering, through the music database. It is surprising to see that the audio and music industry still rely on very simplistic metadata to describe music files. However, while searching audio resource, an efficient "Tag Based Audio Search Engine" is necessary. The current research focuses on two aspects of the musical databases 1. Tag Based Semantic Annotation Generation using the tag based approach.2. An audio search engine, using which the user can retrieve the songs based on the users choice. The proposed method can be used to annotation and retrieve songs based on musical instruments used , mood of the song, theme of the song, singer, music director, artist, film director, instrument, genre or style and so on.

Keywords: Audio search engine, Film Songs, Tags, Annotation

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ABOUT THE AUTHORS

Parameswaran Vellachu
Master of Computer Applications, Adhiyamaan College of Engineering Hosur, Tamilnadu - 635 109, India.

Sunitha Abburu
Professor and Director, Department of MCA, Adhiyamaan College of Engineering Hosur, Tamilnadu - 635 109, India.


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