ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings

Agnes Lisowska; Martin Rajman; Trung H. Bui

doi:10.1007/978-3-540-30568-2_25

ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings

Agnes Lisowska, Martin Rajman, Trung H. Bui

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

24 Downloads (Pure)

Abstract

This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe (1) a novel approach taken in designing the system given the relative inapplicability of standard user requirements elicitation methodologies, (2) the components of ARCHIVUS, and (3) the methodologies that we plan to use to evaluate the system.

Original language	English
Title of host publication	Machine Learning for Multimodal Interaction
Subtitle of host publication	First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers
Editors	Hervé Bourlard, Samy Bengio
Place of Publication	Berlin
Publisher	Springer
Pages	291-304
Number of pages	14
ISBN (Electronic)	978-3-540-30568-2
ISBN (Print)	978-3-540-24509-4
DOIs	https://doi.org/10.1007/978-3-540-30568-2_25
Publication status	Published - 2005
Event	1st International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004 - Martigny, Switzerland Duration: 21 Jun 2004 → 23 Jun 2004 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	3361
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	1st International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004
Abbreviated title	MLMI
Country/Territory	Switzerland
City	Martigny
Period	21/06/04 → 23/06/04

Keywords

HMI-MI: MULTIMODAL INTERACTIONS
HMI-SLT: Speech and Language Technology
User requirement
Automatic speech recognition
Task models
Input modality
Multimodal interfaces

Access to Document

10.1007/978-3-540-30568-2_25

Cite this

Lisowska, A., Rajman, M., & Bui, T. H. (2005). ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings. In H. Bourlard, & S. Bengio (Eds.), Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers (pp. 291-304). (Lecture Notes in Computer Science; Vol. 3361). Springer. https://doi.org/10.1007/978-3-540-30568-2_25

Lisowska, Agnes ; Rajman, Martin ; Bui, Trung H. / ARCHIVUS : A System for Accessing the Content of Recorded Multimodal Meetings. Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers. editor / Hervé Bourlard ; Samy Bengio. Berlin : Springer, 2005. pp. 291-304 (Lecture Notes in Computer Science).

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title = "ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings",

abstract = "This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe (1) a novel approach taken in designing the system given the relative inapplicability of standard user requirements elicitation methodologies, (2) the components of ARCHIVUS, and (3) the methodologies that we plan to use to evaluate the system.",

keywords = "HMI-MI: MULTIMODAL INTERACTIONS, HMI-SLT: Speech and Language Technology, User requirement, Automatic speech recognition, Task models, Input modality, Multimodal interfaces",

author = "Agnes Lisowska and Martin Rajman and Bui, {Trung H.}",

year = "2005",

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language = "English",

isbn = "978-3-540-24509-4",

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publisher = "Springer",

pages = "291--304",

editor = "Herv{\'e} Bourlard and Samy Bengio",

booktitle = "Machine Learning for Multimodal Interaction",

note = "1st International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004, MLMI ; Conference date: 21-06-2004 Through 23-06-2004",

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Lisowska, A, Rajman, M & Bui, TH 2005, ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings. in H Bourlard & S Bengio (eds), Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers. Lecture Notes in Computer Science, vol. 3361, Springer, Berlin, pp. 291-304, 1st International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004, Martigny, Switzerland, 21/06/04. https://doi.org/10.1007/978-3-540-30568-2_25

ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings. / Lisowska, Agnes; Rajman, Martin; Bui, Trung H.
Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers. ed. / Hervé Bourlard; Samy Bengio. Berlin: Springer, 2005. p. 291-304 (Lecture Notes in Computer Science; Vol. 3361).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - ARCHIVUS

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AB - This paper describes a multimodal dialogue driven system, ARCHIVUS, that allows users to access and retrieve the content of recorded and annotated multimodal meetings. We describe (1) a novel approach taken in designing the system given the relative inapplicability of standard user requirements elicitation methodologies, (2) the components of ARCHIVUS, and (3) the methodologies that we plan to use to evaluate the system.

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - HMI-SLT: Speech and Language Technology

KW - User requirement

KW - Automatic speech recognition

KW - Task models

KW - Input modality

KW - Multimodal interfaces

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DO - 10.1007/978-3-540-30568-2_25

M3 - Conference contribution

SN - 978-3-540-24509-4

T3 - Lecture Notes in Computer Science

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BT - Machine Learning for Multimodal Interaction

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CY - Berlin

Y2 - 21 June 2004 through 23 June 2004

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Lisowska A, Rajman M, Bui TH. ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings. In Bourlard H, Bengio S, editors, Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers. Berlin: Springer. 2005. p. 291-304. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-30568-2_25