Publication detail

Transcribing Meetings with the AMIDA System

HAIN, T. BURGET, L. DINES, J. GARNER, P. GRÉZL, F. EL HANNANI, A. HUIJBREGTS, M. KARAFIÁT, M. LINCOLN, M. WAN, V.

Original Title

Transcribing Meetings with the AMIDA System

English Title

Transcribing Meetings with the AMIDA System

Type

journal article in Web of Science

Language

en

Original Abstract

This paper describes AMIDA systems for transcription of conference and lecture room meetings that were developed for participation in the RT evaluations conducted by NIST in years 2007 and 2009.

English abstract

This paper describes AMIDA systems for transcription of conference and lecture room meetings that were developed for participation in the RT evaluations conducted by NIST in years 2007 and 2009.

Keywords

AMI corpus, Juicer, meeting transcription, multiple distant microphone, resource optimisation, rich text

RIV year

2012

Released

01.02.2012

Publisher

IEEE Signal Processing Society

Location

New York

ISBN

1558-7916

Periodical

IEEE Transactions on Audio, Speech, and Language Processing

Year of study

20

Number

2

State

US

Pages from

486

Pages to

498

Pages count

13

URL

Documents

BibTex


@article{BUT91486,
  author="Thomas {Hain} and Lukáš {Burget} and John {Dines} and Phillip {Garner} and František {Grézl} and Asmaa {El Hannani} and Marijn {Huijbregts} and Martin {Karafiát} and Mike {Lincoln} and Vincent {Wan}",
  title="Transcribing Meetings with the AMIDA System",
  annote="This paper describes AMIDA systems for transcription of conference and lecture
room meetings that were developed for participation in the RT evaluations
conducted by NIST in years 2007 and 2009.",
  address="IEEE Signal Processing Society",
  booktitle="IEEE Transactions on Audio, Speech, and Language Processing",
  chapter="91486",
  doi="10.1109/TASL.2011.2163395",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  number="2",
  volume="20",
  year="2012",
  month="february",
  pages="486--498",
  publisher="IEEE Signal Processing Society",
  type="journal article in Web of Science"
}