Okay, if you and your friend agree on which 5-sec
portion to compare (e.g. always use the first 5 sec, not
counting any initial silence that might be present), then
you have a fairly good chance of building a DFT-based
discriminator/identifier with a pretty good success rate.
In this case, Perl could be very
handy for driving the DFT/VQ engine on your friend's
audio file, doing data reduction on that output, and
running or maybe even computing the suitable statistics to
identify a "best match" in your local database of first-5-sec
snippets.
Just building your local database of "song signatures" will
be a very instructive exercise, and you can use it for both
"training" and "testing". I could go on... but it would all
be speculative, and you should work it out for yourself.
-
Are you posting in the right place? Check out Where do I post X? to know for sure.
-
Posts may use any of the Perl Monks Approved HTML tags. Currently these include the following:
<code> <a> <b> <big>
<blockquote> <br /> <dd>
<dl> <dt> <em> <font>
<h1> <h2> <h3> <h4>
<h5> <h6> <hr /> <i>
<li> <nbsp> <ol> <p>
<small> <strike> <strong>
<sub> <sup> <table>
<td> <th> <tr> <tt>
<u> <ul>
-
Snippets of code should be wrapped in
<code> tags not
<pre> tags. In fact, <pre>
tags should generally be avoided. If they must
be used, extreme care should be
taken to ensure that their contents do not
have long lines (<70 chars), in order to prevent
horizontal scrolling (and possible janitor
intervention).
-
Want more info? How to link
or How to display code and escape characters
are good places to start.
|