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		<title>Compact AI model restores speech degraded by noise, echoes and narrow bandwidth</title>
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		<pubDate>Mon, 19 Oct 2026 06:14:43 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[audio processing]]></category>
		<category><![CDATA[BLSTM]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[denoising]]></category>
		<category><![CDATA[dereverberation]]></category>
		<category><![CDATA[lightweight neural networks]]></category>
		<category><![CDATA[PESQ]]></category>
		<category><![CDATA[Scientific Reports]]></category>
		<category><![CDATA[SI-SDR]]></category>
		<category><![CDATA[spectrogram]]></category>
		<category><![CDATA[speech restoration]]></category>
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					<description><![CDATA[Researchers at VIT Chennai have developed a compact 4.8-million-parameter AI framework that restores speech degraded by noise, reverberation, and bandwidth limits with competitive performance against much larger models.]]></description>
		
		
		
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