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		<title>Audio on Prateek Sharma</title>
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			<lastBuildDate>Mon, 31 Aug 2026 00:00:00 +0000</lastBuildDate>
		
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				<title>Whisper&#39;s turbo model beat large on noisy audio, in practice</title>
				<link>https://prateeksharma.me/notes/whisper-turbo-vs-large-on-noisy-audio/</link>
				<pubDate>Mon, 31 Aug 2026 00:00:00 +0000</pubDate>
				<guid>https://prateeksharma.me/notes/whisper-turbo-vs-large-on-noisy-audio/</guid>
				<description>&lt;p&gt;Building the &lt;a href=&#34;https://prateeksharma.me/projects/video-translator/&#34;&gt;Video Translator&lt;/a&gt;&#xA;, the assumption&#xA;going in was that OpenAI Whisper&amp;rsquo;s larger model would transcribe more&#xA;accurately. In practice, on clips with loud background music, the &lt;code&gt;turbo&lt;/code&gt; model&#xA;did noticeably better than &lt;code&gt;large&lt;/code&gt; — it seems to tolerate messy audio better&#xA;rather than just being a faster, lower-quality option. Separating vocals from&#xA;background music first (with demucs) didn&amp;rsquo;t help as much as expected either;&#xA;Whisper handled the mixed track better on its own. Worth trying &lt;code&gt;turbo&lt;/code&gt; first&#xA;rather than assuming bigger is more accurate.&lt;/p&gt;</description>
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