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                    <title>University of Bremen - Exzellenz Chair Li</title>
                    <link>https://www.uni-bremen.de/en/csl/projects/current-projects/exzellenz-chair-li</link>
                    <description>exzellenz chair li</description>
                    <language>en</language>
                    <copyright>University of Bremen</copyright>
                    <pubDate>Thu, 13 Aug 2026 08:08:02 +0200</pubDate>
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                            <pubDate>Thu, 20 Mar 2025 11:47:26 +0100</pubDate>
                            <title>Machine Listening </title>
                            <link>https://www.uni-bremen.de/en/csl/projects/current-projects/exzellenz-chair-li#c636604</link>
                            
                            <description>&amp;lt;p&amp;gt;The Machine Listening Lab (MLL) represents one of the U Bremen Excellence Chairs projects and aims to integrate the human ability of Selective Listening into machines.&amp;amp;nbsp;&amp;lt;br /&amp;gt; This ability allows humans to focus on a specific sound source while fading out all remaining sound sources. Typically, this is also referred to as &amp;quot;The Cocktail Party Problem&amp;quot;. Hearing-impaired individuals often lose this ability or can only perform it to a limited extend, making hearing aids necessary. Even though the technology in hearing aids is quite advanced, it reaches its limits in real Cocktail Party scenes. At MLL, AI-based algorithms are developed which will be integrated into Smart Hearing Aids in the long term in order to allow hearing-impaired individuals to regain the ability of Selective Listening. Methods from the research fields of &amp;quot;Speech Separation&amp;quot; and&amp;amp;nbsp; &amp;quot;Brain Signal Processing&amp;quot; are used to develop neuro-steered algorithms. Besides this long term goal, the MLL investigates corresponding methods and algorithms in&amp;amp;nbsp; different scenarios, such as:&amp;amp;nbsp;&amp;lt;br /&amp;gt; - Speech Separation in multilingual Cocktail Party scenarios&amp;amp;nbsp;&amp;lt;br /&amp;gt; - The impact of speech mode adaptation (for instance whispered speech) on Speech Separation algorithms&amp;amp;nbsp;&amp;lt;br /&amp;gt; - The classification and tracking of selective auditory attention in complex auditory environments using electroencephalography (EEG)&amp;amp;nbsp;&amp;lt;br /&amp;gt; - Speech Separation algorithms steered by EEG signals&amp;amp;nbsp;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;br /&amp;gt; &amp;lt;strong&amp;gt;Employees at MLL/CSL:&amp;amp;nbsp;&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt; Director: Prof. Dr. Haizhou Li&amp;amp;nbsp;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Host: &amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://www.uni-bremen.de/en/csl/institute/director&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Opens external link in new window&amp;quot;&amp;gt;Prof. Dr.-Ing. Tanja Schultz&amp;amp;nbsp; &amp;lt;/a&amp;gt;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Contact person: &amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://www.uni-bremen.de/en/csl/institute/team/staff/marvin-borsdorf-m-sc&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Opens external link in new window&amp;quot;&amp;gt;Marvin Borsdorf, M.Sc.&amp;amp;nbsp;&amp;lt;/a&amp;gt;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://www.uni-bremen.de/csl/institut/team/mitarbeitende&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Opens external link in new window&amp;quot;&amp;gt;Saurav Pahuja, M.Sc.&amp;amp;nbsp; &amp;lt;/a&amp;gt;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://www.uni-bremen.de/csl/institut/team/mitarbeitende&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Opens external link in new window&amp;quot;&amp;gt;Dashanka De Silva, M.Sc.&amp;lt;/a&amp;gt;&amp;lt;/p&amp;gt;</description>
                            
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