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The IBM 2011 GALE Arabic speech transcription system

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7 Author(s)
Mangu, L. ; IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA ; Hong-Kwang Kuo ; Chu, S. ; Kingsbury, B.
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We describe the Arabic broadcast transcription system fielded by IBM in the GALE Phase 5 machine translation evaluation. Key advances over our Phase 4 system include a new Bayesian Sensing HMM acoustic model; multistream neural network features; a MADA vowelized acoustic model; and the use of a variety of language model techniques with significant additive gains. These advances were instrumental in achieving a word error rate of 7.4% on the Phase 5 evaluation set, and an absolute improvement of 0.9% word error rate over our 2009 system on the unsequestered Phase 4 evaluation data.

Published in:

Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on

Date of Conference:

11-15 Dec. 2011