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Design of speech recognition co-processor with fast gaussian likelihood computation

机译:快速高斯似然计算的语音识别协处理器设计

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This paper presents the design of high performance co-processor used to calculate the posterior probabilities for the embedded speech recognition of CHMM (Continuous Hidden Markov Model) with the MPIE (Maximum Probability Increase Estimation) algorithm to finish the most computation intensive operations in the speech recognition flow. The design of the co-processor is verified on Xilinx FPGA platform with ARM as MCU.
机译:本文提出了一种高性能协处理器的设计,该算法可使用MPIE(最大概率增长估计)算法计算CHMM(连续隐马尔可夫模型)的嵌入式语音识别的后验概率,以完成语音中计算量最大的运算识别流程。在以ARM为MCU的Xilinx FPGA平台上验证了协处理器的设计。

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