Speech recognition systems on the cell broadband engine processor

被引：0

作者：

Liu, Yang ^{[1
]}

Jones, Holger ^{[1
]}

Vaidya, Sheila ^{[1
]}

Perrone, Michael P. ^{[2
]}

Tydlitát, Bořivoj ^{[3
]}

Nanda, Ashwini K. ^{[2
]}

机构：

[1] Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, United States

[2] IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, NY 10598, United States

[3] IBM Czech Republic, Voice Technologies and Systems, V Parku 2294/4, 148 00 Praha 4, Czech Republic

来源：

IBM Journal of Research and Development | 2007年 / 51卷 / 05期

关键词：

In this paper we describe our design; implementation; and initial results of a prototype connected-phoneme-based speech recognition system on the Cell Broadband Engine™ (Cell/B.E.) processor. Automated speech recognition decodes speech samples into plaintext (other representations are possible) and must process samples at real-time rates. Fortunately; the computatioinal tasks involved in this pipeline are highly data parallel and can receive significant hardware acceleration from vector-streaming architectures such as the Cell/B.E. Architecture. Identifying and exploiting these parallelism opportunities is challenging and critical to improving system performance. From our initial performance timings; we observed that a single; Cell/B.E. processor can recognize speech from thousands of simultaneous voice channels in real time - a channel density that is orders of magnitude greater than the capacity of existing software speech recognizers based on CPUs (central processing units). This result emphasizes the potential for Cell/B.E. processor-based speech recognition and will likely lead to the development of production speech systems using Cell/B.E. processor clusters. © Copyright 2007 by International Business Machines Corporation;

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学科分类号：

摘要：

Journal article (JA)

引用

页码：583 / 591

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