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Fri Jan 7 21:01:49 CET 2011

Use a few low level features, such as energy of low and high frequencies ba=
nds, spectral spread. In a second step, these approaches are often refined =
using machine learning techniques bayesian networks or support vector machi=

See for instance these papers:<br>
<a href=3D"" target=
<a href=3D"" target=3D"_b=
<a href=3D"" target=3D"=
i would like to achieve &gt; 90% of accuracy if possible. any suggestions a=
re welcome!<br>
<a href=3D"mailto:Pd-list at" target=3D"_blank">Pd-list at</a> mail=
ing list<br>
UNSUBSCRIBE and account-management -&gt; <a href=3D"http://lists.puredata.i=
nfo/listinfo/pd-list" target=3D"_blank">
</blockquote></div><br><br clear=3D"all"><br>-- <br>Pedro Lopes (MSc)<br>co=
ntact: <a href=3D"mailto:pedro.lopes at" target=3D"_blank">pedro.lo=
pes at</a><br>website:=A0<a href=3D"
es" target=3D"_blank"></a>=A0/=A0<a href=
=3D"" target=3D"_blank">http://pedr=</a>=A0|=A0<a href=3D"
sresearch" target=3D"_blank"></a><br>



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