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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:本文介绍了高性能协处理器的设计,用于计算CHMM(连续隐马尔可夫模型)的嵌入式语音识别的后验概率与MPIE(最大概率增加估计)算法在语音中完成最多的计算密集型操作识别流程。通过ARM作为MCU的Xilinx FPGA平台验证了协处理器的设计。

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