Recognition and understanding of meetings: The AMI and AMIDA projects

Steve Renals; Thomas Hain; Herve Bourlard

doi:10.1109/ASRU.2007.4430116

Recognition and understanding of meetings: The AMI and AMIDA projects

Steve Renals
, Thomas Hain
, Herve Bourlard

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.

Original language	English
Title of host publication	Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on
Publisher	Institute of Electrical and Electronics Engineers
Pages	238-247
ISBN (Electronic)	978-1-4244-1746-9
ISBN (Print)	978-1-4244-1746-9
DOIs	https://doi.org/10.1109/ASRU.2007.4430116
Publication status	Published - 2007
Event	IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU'07) - Kyoto, Japan Duration: 9 Dec 2007 → 13 Dec 2007

Workshop

Workshop	IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU'07)
Country/Territory	Japan
City	Kyoto
Period	9/12/07 → 13/12/07

Access to Document

10.1109/ASRU.2007.4430116

ami-asru2007Submitted manuscript, 364 KB

Cite this

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title = "Recognition and understanding of meetings: The AMI and AMIDA projects",

abstract = "The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.",

author = "Steve Renals and Thomas Hain and Herve Bourlard",

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doi = "10.1109/ASRU.2007.4430116",

language = "English",

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pages = "238--247",

booktitle = "Automatic Speech Recognition \& Understanding, 2007. ASRU. IEEE Workshop on",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU'07) ; Conference date: 09-12-2007 Through 13-12-2007",

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Renals, S, Hain, T & Bourlard, H 2007, Recognition and understanding of meetings: The AMI and AMIDA projects. in Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on. Institute of Electrical and Electronics Engineers, pp. 238-247, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU'07), Kyoto, Japan, 9/12/07. https://doi.org/10.1109/ASRU.2007.4430116

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AU - Hain, Thomas

AU - Bourlard, Herve

PY - 2007

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N2 - The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.

AB - The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.

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DO - 10.1109/ASRU.2007.4430116

M3 - Conference contribution

SN - 978-1-4244-1746-9

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BT - Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on

PB - Institute of Electrical and Electronics Engineers

T2 - IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU'07)

Y2 - 9 December 2007 through 13 December 2007

ER -

Recognition and understanding of meetings: The AMI and AMIDA projects

Abstract

Workshop

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