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Abhishek/peragro GSoC2016Proposal: Difference between revisions
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<u> ''Advantage''</u> | <u> ''Advantage''</u> | ||
<p>It works on very obscure songs and will do so even with extraneous background noise</p> | <p>It works on very obscure songs and will do so even with extraneous background noise</p> | ||
<p> Idea here is to think of a piece of music as time frequency graph also called spectrogram. This graph has three axis time on x-axis, frequency on y-axis and intensity on z-axis. A line horizontal to z-axis represents a continuous pure tone, while line vertical to z-axis represent sudden rise (burst) white noise.</p> | |||
<p> Points of interest are the points with 'peak intensity'. The algorithm keeps track of the frequency and the amount of time from the beginning of the track for each of these peak point. Fingerprint of the song is generated using these information. </p> | |||