Článek ve sborníku konference

GARNER Phillip N., DINES John, HAIN Thomas, EL Hannani Asmaa, KARAFIÁT Martin, KORCHAGIN Danil, LINCOLN Mike, WAN Vincent a ZHANG Le. Real-Time ASR from Meetings. In: Proc. Interspeech 2009. Brighton: International Speech Communication Association, 2009, s. 2119-2122. ISSN 1990-9772.
Jazyk publikace:angličtina
Název publikace:Real-Time ASR from Meetings
Název (cs):Real-Time rozpoznávání řeči pro meetingy
Strany:2119-2122
Sborník:Proc. Interspeech 2009
Konference:Interspeech 2009
Místo vydání:Brighton, GB
Rok:2009
Časopis:Proceedings of Interspeech, č. 9, FR
ISSN:1990-9772
Vydavatel:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2009/garner_is2009.pdf [PDF]
Klíčová slova
real-time speech recognition, meeting ASR, beam-forming, speech meta-data
Anotace
Článek je o real-time systému rozpoznávání řeči pro meetingy, který byl vyvinut AMIDA konsoricem pro evaluace rozpoznávání řeči NIST Rich Text (RT) evaluations.
Abstrakt
The AMI(DA) system is a meeting room speech recognition system that has been developed and evaluated in the context of the NIST Rich Text (RT) evaluations. Recently, the "Distant Access" requirements of the AMIDA project have necessitated that the system operate in real-time. Another more difficult requirement is that the system fit into a live meeting transcription scenario. We describe an infrastructure that has allowed the AMI(DA) system to evolve into one that fulfils these extra requirements. We emphasise the components that address the live and real-time aspects.
BibTeX:
@INPROCEEDINGS{
   author = {N. Phillip Garner and John Dines and Thomas Hain and Asmaa
	Hannani El and Martin Karafiát and Danil Korchagin and Mike
	Lincoln and Vincent Wan and Le Zhang},
   title = {Real-Time ASR from Meetings},
   pages = {2119--2122},
   booktitle = {Proc. Interspeech 2009},
   journal = {Proceedings of Interspeech},
   number = {9},
   year = {2009},
   location = {Brighton, GB},
   publisher = {International Speech Communication Association},
   ISSN = {1990-9772},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=9039}
}

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