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+
+
+
+ Emotion-Conditioned Music Generation Incorporating an Auxiliary Discriminator
+
+
+
+
+
+
+ Emotion-Conditioned Music Generation Incorporating an Auxiliary Discriminator
+
+
+
+ Paper: Emotion-Conditioned Music Generation Incorporating an Auxiliary Discriminator
+ Authors: Te Zeng
+
+
+
+
+
Generation Samples
+
To evaluate the ability of proposed model to generate emotional consistent music, we conduct experiments
+ on EMOPIA. Here are music pieces generated by our proposed method and baselines in this experiment.
+
+
Original: Q1
+
Conditioned on Q1
+
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q2
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q3
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q4
+
+ Your browser does not support the audio element.
+
+
Original: Q2
+
Conditioned on Q1
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q2
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q3
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q4
+
+ Your browser does not support the audio element.
+
+
Original: Q3
+
Conditioned on Q1
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q2
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q3
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q4
+
+ Your browser does not support the audio element.
+
+
Original: Q4
+
Conditioned on Q1
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q2
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q3
+
+ Your browser does not support the audio element.
+
+
Conditioned on Q4
+
+ Your browser does not support the audio element.
+
+
+
+
+
+
+
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diff --git a/stylesheet.css b/stylesheet.css
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+@import url('https://fonts.googleapis.com/css?family=Roboto:400,400i,700');
+body {
+ font-family: 'Roboto', Arial, sans-serif;
+}
+.paper_title {
+ font-style: italic;
+ font-size: 200pt;
+ font-weight: bold;
+}
+.paper_date {
+ font-weight: bold;
+}
+#toc_container {
+ background: #d8bbbb none repeat scroll 0 0;
+ border: 1px solid #aaa;
+ display: table;
+ font-size: 95%;
+ padding-top: 20px;
+ padding-left: 20px;
+ padding-right: 20px;
+ padding-bottom: 8px;
+ width: auto;
+}
+
+ß
+.toc_title {
+ font-weight: 700;
+ font-size: 18pt;
+ text-align: left;
+}
+#toc_container ul {
+ list-style: outside none none !important; margin-left: -40px;
+}
+.h2_explainer {
+ margin-bottom: 2px;
+}
+h3 {
+ margin-bottom: 2px;
+}
+.h3_explainer {
+ padding-bottom: 10px;
+ padding-top: 5px;
+}
+.transcript {
+ font-style: italic;
+}
+.text_e2e {
+ font-style: italic;
+ color: #666666;
+ font-size: 11pt;
+}
+
+/* padding causes text to overlap buttons on e2e page */
+.text_gst {
+ font-style: italic;
+ color: #666666;
+ font-size: 11pt;
+ padding-bottom: 10px;
+ padding-top: 15px;
+}
+
+/* for e2e page */
+td.reference {
+ text-wrap: overflow;
+ min-width: 500px;
+ max-width: 500px;
+}
+td.reference button {
+ margin-left: 10px;
+}
+td.algorithm {
+ text-align: right;
+}
+#player {
+ position: fixed;
+ top: 0;
+ right: 0;
+}
+td.synthesis {
+ text-align:center;
+}
+