Real-Time ASR from Meetings

被引：0

作者：

Garner, Philip N. ^{[1
]}

Dines, John ^{[1
]}

Hain, Thomas ^{[2
]}

El Hannani, Asmaa ^{[2
]}

Karafiar, Martin ^{[3
]}

Korchagin, Danil ^{[1
]}

Lincoln, Mike ^{[4
]}

Wan, Vincent ^{[2
]}

Zhang, Le ^{[4
]}

机构：

[1] Idiap Res Inst, Martigny, Switzerland

[2] Univ Sheffield, Speech & Hearing Res Grp, Sheffield, S Yorkshire, England

[3] Brno Univ Technol, Speech Processing Grp, Brno, Czech Republic

[4] Univ Edinburgh, Ctr Speech Technol Res, Edinburgh, Scotland

来源：

INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年

关键词：

real-time speech recognition; meeting ASR; beam-forming; speech meta-data;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2067 / +

页数：2

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