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The AMIDA 2009 Meeting Transcription System
Type of publication: Conference paper
Citation: Hain_INTERSPEECH_2010
Booktitle: Proceedings of Interspeech
Year: 2010
Month: 9
Location: Makuhari, Japan
Abstract: We present the AMIDA 2009 system for participation in the NIST RT’2009 STT evaluations. Systems for close-talking, far field and speaker attributed STT conditions are described. Im- provements to our previous systems are: segmentation and diar- isation; stacked bottle-neck posterior feature extraction; fMPE training of acoustic models; adaptation on complete meetings; improvements to WFST decoding; automatic optimisation of decoders and system graphs. Overall these changes gave a 6- 13% relative reduction in word error rate while at the same time reducing the real-time factor by a factor of five and using con- siderably less data for acoustic model training.
Projects AMIDA
Authors Hain, Thomas
Burget, Lukas
Dines, John
Garner, Philip N.
El Hannani, Asmaa
Huijbregts, Marijn
Karafiat, Martin
Lincoln, Mike
Wan, Vincent
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