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	<title>spectral artifacts &#8211; BIOENGINEER.ORG</title>
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		<title>Frequency-aware transformer spots AI-generated fake voices and shows its reasoning</title>
		<link>https://bioengineer.org/frequency-aware-transformer-spots-ai-generated-fake-voices-and-shows-its-reasoning/</link>
		
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		<pubDate>Sun, 25 Oct 2026 16:25:26 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[ASVspoof 2019]]></category>
		<category><![CDATA[attention rollout]]></category>
		<category><![CDATA[audio forensics]]></category>
		<category><![CDATA[deepfake audio]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[fake voice detection]]></category>
		<category><![CDATA[frequency-aware transformer]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[spectral artifacts]]></category>
		<category><![CDATA[speech synthesis]]></category>
		<category><![CDATA[voice cloning]]></category>
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					<description><![CDATA[A new Frequency-Aware Transformer achieved 94.6% accuracy and a 6.3% equal error rate on the ASVspoof 2019 Logical Access benchmark while using attention rollout and SHAP analysis to reveal which frequency bands drove its decisions.]]></description>
		
		
		
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