Quaero 2010 Speech-to-Text Evaluation Systems

Sebastian Stüker (), Kevin Kilgour () and Florian Kraft ()
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Sebastian Stüker: Karlsruhe Institute of Technology, Research Group 3-01 ‘Multilingual Speech Recognition’
Kevin Kilgour: Karlsruhe Institute of Technology, Research Group 3-01 ‘Multilingual Speech Recognition’
Florian Kraft: Karlsruhe Institute of Technology, Research Group 3-01 ‘Multilingual Speech Recognition’

A chapter in High Performance Computing in Science and Engineering '11, 2012, pp 607-618 from Springer

Abstract: Abstract Quaero is a French program with German participation, within which KIT is also working on the problem of Automatic Speech Recognition for audio data from various sources from the World Wide Web. In this paper we describe the development of our English and German speech recognition systems for the 2010 Quaero evaluation for which, at least in part, we have utilized the XC4000 HPC cluster at KIT. Both recognition systems were trained with the help of the Janus Recognition Toolkit developed at the Interactive Systems Laboratory, and both are expansions of the 2009 evaluation systems. Both systems use various front-ends, state-of-the art acoustic models that include discriminative training, and very large language models which require the use of shared memory. Both systems also make use of domain specific acoustic and language model training material which became available for the 2010 evaluation. In total the expansion of the system and the addition of domain-dependent training material let to significant improved performance over the 2009 systems.

Keywords: Linear Discriminant Analysis; Automatic Speech Recognition; Acoustic Model; Word Error Rate; Automatic Speech Recognition System (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-23869-7_44

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DOI: 10.1007/978-3-642-23869-7_44

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