The Development of the AMI System for the Transcription of Speech in Meetings
| Autor: | Hain, Thomas, Burget, Lukas, Dines, John, McCowan, Iain, Garau, Giulia, Karafiat, Martin, Lincoln, Mike, Ordelman, Roeland J.F., Moore, Darren, Wan, Vincent, Renals, Steve, Bengio, Samy |
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| Přispěvatelé: | Renals, Steve, Bengio, Samy |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: | |
| Zdroj: | Hain, T, Burget, L, Dines, J, McCowan, I, Garau, G, Karafiat, M, Lincoln, M, Moore, D, Wan, V, Ordelman, R & Renals, S 2006, The Development of the AMI System for the Transcription of Speech in Meetings . in S Renals & S Bengio (eds), Machine Learning for Multimodal Interaction : Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers . Lecture Notes in Computer Science, vol. 3869, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 344-356, Second International Workshop (MLMI 2005), Edinburgh, United Kingdom, 11/07/05 . https://doi.org/10.1007/11677482_30 Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms, 344-356 STARTPAGE=344;ENDPAGE=356;TITLE=Proceedings 2nd Workshop on Multimodal Interaction and Related Machine Learning Algorithms Machine Learning for Multimodal Interaction ISBN: 9783540325499 MLMI |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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