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DTSTART:20260329T020000
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BEGIN:VEVENT
DTSTAMP:20260428T141319Z
UID:C4E2C021-3C49-4738-8285-3DC40CD4FC00
DTSTART;TZID=Europe/London:20260417T200000
DTEND;TZID=Europe/London:20260417T210000
DESCRIPTION:IEEE SMC IIT SBC x IEEE Systems Council Tunisia Section\n\nIEEE
  SMC IIT SBC\, in collaboration with the IEEE Systems Council Tunisia Sect
 ion\, organized a technical talk entitled “Advancing Speech Enhancement 
 with Machine Learning: Lightweight Models\,” delivered by Dr. Nasir Sale
 em. The session focused on recent advances in speech enhancement for resou
 rce-constrained environments such as smartphones\, hearing aids\, and embe
 dded systems. The main points discussed during the talk included:\n\n- lig
 htweight and efficient machine learning models for speech enhancement\n\n-
  model compression techniques for reducing computational complexity\n\n- e
 fficient neural network architectures for real-time applications\n\n- low-
 complexity time-frequency representations\n\n- speech enhancement in noisy
  and real-world acoustic conditions\n\n- recent developments in audio-visu
 al speech enhancement\n\n- methods for achieving low-latency and energy-ef
 ficient performance\n\n- maintaining speech quality and intelligibility in
  practical deployment scenarios\n\nThe talk provided valuable insights for
  students and researchers interested in speech processing\, machine learni
 ng\, and intelligent audio systems.\n\nSpeaker(s): Nassir Saleem\, \n\nVir
 tual: https://events.vtools.ieee.org/m/553888
LOCATION:Virtual: https://events.vtools.ieee.org/m/553888
ORGANIZER:ayoub.bougacha@ieee.org
SEQUENCE:62
SUMMARY:Advancing Speech Enhancement with Machine Learning: Lightweight Mod
 els
URL;VALUE=URI:https://events.vtools.ieee.org/m/553888
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 gb(53\, 152\, 219)\;&quot;&gt;IEEE SMC IIT SBC&lt;/span&gt; x &lt;span style=&quot;color: rgb(22
 \, 145\, 121)\;&quot;&gt;IEEE Systems Council Tunisia Section&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;
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 ormalTextRun SCXW132515156 BCX0&quot;&gt;&lt;strong&gt;IEEE SMC IIT SBC&lt;/strong&gt;\, in co
 llaboration with the &lt;strong&gt;IEEE Systems Council Tunisia Section&lt;/strong&gt;
 \, organized a technical talk entitled &amp;ldquo\;Advancing Speech Enhancemen
 t with Machine Learning: Lightweight Models\,&amp;rdquo\; delivered by Dr. Nas
 ir Saleem. The session focused on recent advances in speech enhancement fo
 r resource-constrained environments such as smartphones\, hearing aids\, a
 nd embedded systems. The main points discussed during the talk included:&lt;/
 span&gt;&lt;/span&gt;&lt;span class=&quot;EOP Selected SCXW132515156 BCX0&quot; data-ccp-props=&quot;
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  insights for students and researchers interested in speech processing\, m
 achine learning\, and intelligent audio systems.&lt;/span&gt;&lt;/span&gt;&lt;span class=
 &quot;EOP Selected SCXW132515156 BCX0&quot; data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n
 &lt;/div&gt;
END:VEVENT
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