Speech recognition systems on the Cell Broadband Engine

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In this paper we describe our design, implementation, and first results of a prototype connected-phoneme-based speech recognition system on the Cell Broadband Engine{trademark} (Cell/B.E.). Automatic speech recognition decodes speech samples into plain text (other representations are possible) and must process samples at real-time rates. Fortunately, the computational 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. Identifying and exploiting these parallelism opportunities is challenging, but also critical to improving system performance. We observed, from our initial performance timings, that a single Cell/B.E. processor can recognize speech from thousands ... continued below

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PDF-file: 29 pages; size: 0.6 Mbytes

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Liu, Y; Jones, H; Vaidya, S; Perrone, M; Tydlitat, B & Nanda, A April 20, 2007.

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In this paper we describe our design, implementation, and first results of a prototype connected-phoneme-based speech recognition system on the Cell Broadband Engine{trademark} (Cell/B.E.). Automatic speech recognition decodes speech samples into plain text (other representations are possible) and must process samples at real-time rates. Fortunately, the computational 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. Identifying and exploiting these parallelism opportunities is challenging, but also critical to improving system performance. We observed, from our initial performance timings, 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.-based speech recognition and will likely lead to the future development of production speech systems using Cell/B.E. clusters.

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PDF-file: 29 pages; size: 0.6 Mbytes

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  • Journal Name: IBM Journal of Research and Development, vol. 51, no. 5, August 11, 2007, pp. 583-592; Journal Volume: 51; Journal Issue: 5

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  • Report No.: UCRL-JRNL-230195
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 940892
  • Archival Resource Key: ark:/67531/metadc895042

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Office of Scientific & Technical Information Technical Reports

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  • April 20, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 2, 2016, 12:30 p.m.

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Liu, Y; Jones, H; Vaidya, S; Perrone, M; Tydlitat, B & Nanda, A. Speech recognition systems on the Cell Broadband Engine, article, April 20, 2007; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc895042/: accessed June 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.