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    <title>InfoQ - Speech separation - News</title>
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      <title>University of Washington AI-Powered Headphones Let Users Listen to a Single Person in a Crowd</title>
      <link>https://www.infoq.com/news/2024/05/target-speech-hearing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Speech+separation-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2024/05/target-speech-hearing/en/headerimage/target-speech-hearing-1717164755887.jpg"/&gt;&lt;p&gt;"Target speech hearing" is a new deep-learning algorithm developed at the University of Washington to allow users to "enroll" a speaker and cancel all environmental noise surrounding their voice.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Speech separation</category>
      <category>Hearing</category>
      <category>Artificial Intelligence</category>
      <category>Deep Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 31 May 2024 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2024/05/target-speech-hearing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Speech+separation-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2024-05-31T15:00:00Z</dc:date>
      <dc:identifier>/news/2024/05/target-speech-hearing/en</dc:identifier>
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