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A highperformance Cantonese keyword search system

By Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy and Philip C. Woodl

Abstract

We present a system for keyword search on Cantonese conversational telephony audio, collected for the IARPA Babel program, that achieves good performance by combining postings lists produced by diverse speech recognition systems from three different research groups. We describe the keyword search task, the data on which the work was done, four different speech recognition systems, and our approach to system combination for keyword search. We show that the combination of four systems outperforms the best single system by 7%, achieving an actual term-weighted value of 0.517

Topics: spoken term detection, system
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.3377
Provided by: CiteSeerX
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