Lixi Zhou, Jiaqing Chen, et al.
VLDB
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.
Lixi Zhou, Jiaqing Chen, et al.
VLDB
John M. Boyer, Charles F. Wiecha
DocEng 2009
G. Ramalingam
Theoretical Computer Science
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003