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DTSTAMP:20230403T174230Z
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DTSTART;TZID=US/Eastern:20230329T120000
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DESCRIPTION:In this talk we will discuss the history and the modern state o
 f sound capturing and speech enhancement. We will start with the general a
 rchitecture of speech enhancement pipelines for the needs of hands-free te
 lecommunication and distant speech recognition. The talk will discuss both
  classical approaches using statistical signal processing and deep learnin
 g using neural networks. It will be illustrated with real-life examples fr
 om the speech enhancement audio pipelines in Kinect\, HoloLens\, and Teams
 .\n\nCo-sponsored by: Fairleigh Dickinson University\n\nSpeaker(s): Dr. Iv
 an Tashev\, \n\nAgenda: \nIn this talk we will discuss the history and the
  modern state of sound capturing and speech enhancement. We will start wit
 h the general architecture of speech enhancement pipelines for the needs o
 f hands-free telecommunication and distant speech recognition. The talk wi
 ll discuss both classical approaches using statistical signal processing a
 nd deep learning using neural networks. It will be illustrated with real-l
 ife examples from the speech enhancement audio pipelines in Kinect\, HoloL
 ens\, and Teams.\n\nVirtual: https://events.vtools.ieee.org/m/350936
LOCATION:Virtual: https://events.vtools.ieee.org/m/350936
ORGANIZER:tan@fdu.edu
SEQUENCE:3
SUMMARY:Single Channel Speech Enhancement: From Wiener Filtering to Neural 
 Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/350936
X-ALT-DESC:Description: <br /><p>In this talk we will discuss the history a
 nd the modern state of sound capturing and speech enhancement. We will sta
 rt with the general architecture of speech enhancement pipelines for the n
 eeds of hands-free telecommunication and distant speech recognition. The t
 alk will discuss both classical approaches using statistical signal proces
 sing and deep learning using neural networks. It will be illustrated with 
 real-life examples from the speech enhancement audio pipelines in Kinect\,
  HoloLens\, and Teams.</p><br /><br />Agenda: <br /><p>In this talk we wil
 l discuss the history and the modern state of sound capturing and speech e
 nhancement. We will start with the general architecture of speech enhancem
 ent pipelines for the needs of hands-free telecommunication and distant sp
 eech recognition. The talk will discuss both classical approaches using st
 atistical signal processing and deep learning using neural networks. It wi
 ll be illustrated with real-life examples from the speech enhancement audi
 o pipelines in Kinect\, HoloLens\, and Teams.</p>
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