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	<title>EMO-DB &#8211; BIOENGINEER.ORG</title>
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		<title>Transformer Model Reads Emotions in Speech With Near-Perfect Accuracy</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[data augmentation]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[EMO-DB]]></category>
		<category><![CDATA[encoder–decoder]]></category>
		<category><![CDATA[Gaussian noise injection]]></category>
		<category><![CDATA[KMeans-SMOTE]]></category>
		<category><![CDATA[multi-head attention]]></category>
		<category><![CDATA[RAVDESS]]></category>
		<category><![CDATA[speech emotion recognition]]></category>
		<category><![CDATA[speed perturbation]]></category>
		<category><![CDATA[temporal shifting]]></category>
		<category><![CDATA[Transformer]]></category>
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					<description><![CDATA[A new encoder–decoder transformer with waveform-level data augmentation achieves 100 percent accuracy on German emotional speech and 94 percent on RAVDESS, advancing robust speech emotion recognition.]]></description>
		
		
		
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