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- W5111544 abstract "Today we require sophisticated speech processing technologies that process massive speech data simultaneously. In this paper we describe the implementation and evaluation of a Julius-backended parallel and scalable speech recognition system on the data stream management system “System S” developed by IBM Research. Our experimental result on our parallel and distributed environment with 4 nodes and 16 cores shows that the throughput can be significantly increased by a factor of 13.8 when compared with that on a single core. We also demonstrate that the beam management module in our system can keep throughput and recognition accuracy with varying input data rate." @default.
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- W5111544 date "2012-01-01" @default.
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- W5111544 title "Highly Scalable Speech Processing on Data Stream Management System" @default.
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- W5111544 doi "https://doi.org/10.1007/978-3-642-29035-0_14" @default.
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