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Design of feature extraction circuit for speech recognition applications

机译:语音识别应用中特征提取电路的设计

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This paper presents a hardware-software co-design implementation of feature extraction circuit which can be used for speech recognition applications. Mel-frequency cepstral co-efficients are used to represent the features of the speech. A comparison between a complete software implementation and a co-design with both hardware and software components is brought out for the same circuit. The advantage of the hardware-software co-design is brought out by showing that the delay of execution has decreased to 0.0184 seconds from 17.29 seconds for the complete software implementation approach.The MicroBlaze soft-core processor from Xilinx is used in the hardware-software co-design. The processor frequency is chosen to be 66.67MHz. The Xilinx EDK software is used to design the circuit. The entire work is implemented on Atlys Spartan-6 development board.
机译:本文提出了一种可用于语音识别应用的特征提取电路的软硬件协同设计实现。梅尔频率倒谱系数用于表示语音的特征。对于同一电路,给出了完整软件实现与具有硬件和软件组件的协同设计之间的比较。通过显示完整的软件实现方法的执行延迟从17.29秒减少到0.0184秒,从而体现了硬件-软件协同设计的优势。Xilinx的MicroBlaze软核处理器用于硬件-软件共同设计。处理器频率选择为66.67MHz。 Xilinx EDK软件用于设计电路。整个工作在Atlys Spartan-6开发板上进行。

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