Music Feature Classification Based on Recurrent Neural Networks with Channel Attention Mechanism

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Methods</td><td class="align_center">Acc (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CNN</td><td class="align_center">81.1</td></tr><tr><td class="align_left">LeNet</td><td class="align_center">822</td></tr><tr><td class="align_left">KCNN</td><td class="align_center">83.6</td></tr><tr><td class="align_left">RDNN</td><td class="align_center">84.8</td></tr><tr><td class="align_left">RGLU</td><td class="align_center">89.2</td></tr><tr><td class="align_left">Ours</td><td class="align_center">93.1</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparative experiment results on the GTZAN data set.</div>

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Table 3

Table 3: Music Feature Classification Based on Recurrent Neural Networks with Channel Attention Mechanism 