BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Warsaw
BEGIN:DAYLIGHT
DTSTART:20170326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
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BEGIN:STANDARD
DTSTART:20161030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
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BEGIN:VEVENT
DTSTAMP:20180131T202149Z
UID:E6C25D2C-1064-4581-970C-A087D5A84D8E
DTSTART;TZID=Europe/Warsaw:20170118T120000
DTEND;TZID=Europe/Warsaw:20170118T133000
DESCRIPTION:In the performed research a new corpus with whispery speech has
  been used. It has been checked whether the extended set of articulatory u
 nits (allophones have been used instead of phonemes) improves quality of w
 hispery speech recognition. Experimental results show that the small chang
 es in the allophone set may provide better speech recognition quality than
  using phonemes approach. The authors also made available the trained g2p 
 (grapheme-to-phoneme) model of Polish language for the Sequitur toolkit.\n
 \nSpeaker(s): Piotr Kozierski\, \n\nPoznan\, Wielkopolskie\, Poland
LOCATION:Poznan\, Wielkopolskie\, Poland
ORGANIZER:tomasz.marciniak@put.poznan.pl
SEQUENCE:0
SUMMARY:Allophones in automatic whispery speech recognition - performed res
 earch and future plans
URL;VALUE=URI:https://events.vtools.ieee.org/m/160028
X-ALT-DESC:Description: <br /><p>In the performed research a new corpus wit
 h whispery speech has been used. It has been checked whether the extended 
 set of articulatory units (allophones have been used instead of phonemes) 
 improves quality of whispery speech recognition. Experimental results show
  that the small changes in the allophone set may provide better speech rec
 ognition quality than using phonemes approach. The authors also made avail
 able the trained g2p (grapheme-to-phoneme) model of Polish language for th
 e Sequitur toolkit.</p>
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END:VCALENDAR