In this paper, we present an efficient architecture for connected speech recognition that can be efficiently implemented with FPGA. The architecture consists of newly derived two-level dynamic programming(TLDP) that use only bit addition and shift operations. The advantages of this architecture are the spatial efficiency to accommodate more words with limited space and the computational speed from avoiding propagation delays in multiplications. The architecture is highly regular, consisting of identical and simple processing elements with only nearest-neighbor communication, and external communication occurs with the end processing elements. In order to verify the proposed architecture, we have also designed and implemented it, prototyping with Xilinx FPGAs running at 33MHz. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Yong, K., & Hong, J. (2006). Two-level dynamic programming hardware implementation for real time processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4251 LNAI-I, pp. 1090–1097). Springer Verlag. https://doi.org/10.1007/11892960_131
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