The Development of the AMI System for the Transcription of Speech in Meetings

Thomas Hain; Lukas Burget; John Dines; Iain McCowan; Giulia Garau; Martin Karafiat; Mike Lincoln; Roeland J.F. Ordelman; Darren Moore; Vincent Wan; Steve Renals

doi:10.1007/11677482_30

The Development of the AMI System for the Transcription of Speech in Meetings

Thomas Hain, Lukas Burget, John Dines, Iain McCowan, Giulia Garau, Martin Karafiat, Mike Lincoln, Roeland J.F. Ordelman, Darren Moore, Vincent Wan, Steve Renals

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

10 Citations (Scopus)

374 Downloads (Pure)

Abstract

The automatic processing of speech collected in conference style meetings has attracted considerable interest with several large scale projects devoted to this area. This paper describes the development of a baseline automatic speech transcription system for meetings in the context of the AMI (Augmented Multiparty Interaction) project. We present several techniques important to processing of this data and show the performance in terms of word error rates (WERs). An important aspect of transcription of this data is the necessary flexibility in terms of audio pre-processing. Real world systems have to deal with flexible input, for example by using microphone arrays or randomly placed microphones in a room. Automatic segmentation and microphone array processing techniques are described and the effect on WERs is discussed. The system and its components presented in this paper yield competitive performance and form a baseline for future research in this domain.

Original language	Undefined
Title of host publication	Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms
Editors	Steve Renals, Samy Bengio
Place of Publication	Berlin
Publisher	Springer
Pages	344-356
Number of pages	13
ISBN (Print)	978-3-540-32549-9
DOIs	https://doi.org/10.1007/11677482_30
Publication status	Published - 2005
Event	2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005 - Edinburgh, United Kingdom Duration: 11 Jul 2005 → 13 Jul 2005 Conference number: MLMI

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Number	3869
Volume	3869
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005
Country/Territory	United Kingdom
City	Edinburgh
Period	11/07/05 → 13/07/05

Keywords

EWI-1830
METIS-227320
IR-89653

Access to Document

10.1007/11677482_30

Hain06development

http://eprints.eemcs.utwente.nl/secure2/1830/01/Hain06development.pdf

Cite this

Hain, T., Burget, L., Dines, J., McCowan, I., Garau, G., Karafiat, M., Lincoln, M., Ordelman, R. J. F., Moore, D., Wan, V., & Renals, S. (2005). The Development of the AMI System for the Transcription of Speech in Meetings. In S. Renals, & S. Bengio (Eds.), Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms (pp. 344-356). (Lecture Notes in Computer Science; Vol. 3869, No. 3869). Springer. https://doi.org/10.1007/11677482_30

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title = "The Development of the AMI System for the Transcription of Speech in Meetings",

abstract = "The automatic processing of speech collected in conference style meetings has attracted considerable interest with several large scale projects devoted to this area. This paper describes the development of a baseline automatic speech transcription system for meetings in the context of the AMI (Augmented Multiparty Interaction) project. We present several techniques important to processing of this data and show the performance in terms of word error rates (WERs). An important aspect of transcription of this data is the necessary flexibility in terms of audio pre-processing. Real world systems have to deal with flexible input, for example by using microphone arrays or randomly placed microphones in a room. Automatic segmentation and microphone array processing techniques are described and the effect on WERs is discussed. The system and its components presented in this paper yield competitive performance and form a baseline for future research in this domain.",

keywords = "EWI-1830, METIS-227320, IR-89653",

author = "Thomas Hain and Lukas Burget and John Dines and Iain McCowan and Giulia Garau and Martin Karafiat and Mike Lincoln and Ordelman, {Roeland J.F.} and Darren Moore and Vincent Wan and Steve Renals",

note = "Imported from HMI; 2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005 ; Conference date: 11-07-2005 Through 13-07-2005",

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doi = "10.1007/11677482_30",

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series = "Lecture Notes in Computer Science",

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Hain, T, Burget, L, Dines, J, McCowan, I, Garau, G, Karafiat, M, Lincoln, M, Ordelman, RJF, Moore, D, Wan, V & Renals, S 2005, The Development of the AMI System for the Transcription of Speech in Meetings. in S Renals & S Bengio (eds), Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms. Lecture Notes in Computer Science, no. 3869, vol. 3869, Springer, Berlin, pp. 344-356, 2nd International Workshop on Machine Learning for Multimodal Interaction, MLMI 2005, Edinburgh, United Kingdom, 11/07/05. https://doi.org/10.1007/11677482_30

The Development of the AMI System for the Transcription of Speech in Meetings. / Hain, Thomas; Burget, Lukas; Dines, John et al.
Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms. ed. / Steve Renals; Samy Bengio. Berlin: Springer, 2005. p. 344-356 (Lecture Notes in Computer Science; Vol. 3869, No. 3869).

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

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AU - Hain, Thomas

AU - Burget, Lukas

AU - Dines, John

AU - McCowan, Iain

AU - Garau, Giulia

AU - Karafiat, Martin

AU - Lincoln, Mike

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AU - Moore, Darren

AU - Wan, Vincent

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N2 - The automatic processing of speech collected in conference style meetings has attracted considerable interest with several large scale projects devoted to this area. This paper describes the development of a baseline automatic speech transcription system for meetings in the context of the AMI (Augmented Multiparty Interaction) project. We present several techniques important to processing of this data and show the performance in terms of word error rates (WERs). An important aspect of transcription of this data is the necessary flexibility in terms of audio pre-processing. Real world systems have to deal with flexible input, for example by using microphone arrays or randomly placed microphones in a room. Automatic segmentation and microphone array processing techniques are described and the effect on WERs is discussed. The system and its components presented in this paper yield competitive performance and form a baseline for future research in this domain.

AB - The automatic processing of speech collected in conference style meetings has attracted considerable interest with several large scale projects devoted to this area. This paper describes the development of a baseline automatic speech transcription system for meetings in the context of the AMI (Augmented Multiparty Interaction) project. We present several techniques important to processing of this data and show the performance in terms of word error rates (WERs). An important aspect of transcription of this data is the necessary flexibility in terms of audio pre-processing. Real world systems have to deal with flexible input, for example by using microphone arrays or randomly placed microphones in a room. Automatic segmentation and microphone array processing techniques are described and the effect on WERs is discussed. The system and its components presented in this paper yield competitive performance and form a baseline for future research in this domain.

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BT - Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms

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Hain T, Burget L, Dines J, McCowan I, Garau G, Karafiat M et al. The Development of the AMI System for the Transcription of Speech in Meetings. In Renals S, Bengio S, editors, Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms. Berlin: Springer. 2005. p. 344-356. (Lecture Notes in Computer Science; 3869). doi: 10.1007/11677482_30