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Humming, a natural query in music does not retrieve songs because the current databases functions on a text basis.
The ability to retrieve a short extract of the song or the entire song thus becomes an invaluable task.
The aims is to produce a path that can be used to facilitate retrieval of songs from an existing database, the specific objectives are to convert hums into a set of fundamental frequency (fo), converting fundamental frequency ( fo) to music notes and there after converts music notes into music note intervals.
Finite Impulse response (FIR), a major type of Digital Signal Processor (DSP) was implemented for filtering out perturbation found in the fundamental frequencies.
A set of algorithms was computed using Java software to generate modal frequencies of music notes and music note intervals.
Comparing the music note intervals of the hummed query with the music note intervals of songs from an existing database, gives the desired retrieval of hymns.
Gabriel Olugbenga Matesun is well known in the field of Computer and Information Science.
He is trained in the field of System and Information Analysis.
Presently he is working with the University of Ibadan, Nigeria.
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