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2nd International Conference on Artificial Intelligence and Computer Science, AICS 2020

作者： Liu, Weili Integrated Circuit Design and Integration System Microelectronics Academy Dalian University of Technology Liaoning Province Dalian China

In this paper, a speech recognition system is designed and the relevant hard-ware environment is built through Zynq FPGA AX7020 platform. In this system, the feature extraction of speech signals is based on MFCC (mel-frequency cepstrum coefficients). The algorithm in this system includes Pre-emphasis, Framing and Windowing, FFT, MFCC Parameter Calculation, VED Endpoint Detection and DTW Operations processes commonly used in speech system design. In this paper, the speech recognition algorithm is implemented on Zynq FPGA platform and also simulated in Matlab. At the same time, audio module AN831 is adopted in the hardware part to realize the sound acquisition function. Through the comparison of experimental data, it is found that the average recognition rate in Matlab simulation is 86.67%, while in Zynq FPGA platform test, the recognition rate is 80.67%. Using Zynq FPGA AX7020 as a platform to realize speech recognition, the recognition rate is higher than the traditional speech recognition technology. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Voice Control system Based on Zynq FPGA

Voice Control System Based on Zynq FPGA

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作者： Weili Liu Integrated Circuit Design and Integration System Microelectronics Academy Dalian University of Technology

In this paper, a speech recognition system is designed and the relevant hard-ware environment is built through Zynq FPGA AX7020 platform. In this system, the feature extraction of speech signals is based on MFCC(mel-frequency cepstrum coefficients). The algorithm in this system includes Pre-emphasis, Framing and Windowing, FFT, MFCC Parameter Calculation, VED Endpoint Detection and DTW Operations processes commonly used in speech system design. In this paper, the speech recognition algorithm is implemented on Zynq FPGA platform and also simulated in Matlab. At the same time, audio module AN831 is adopted in the hardware part to realize the sound acquisition function. Through the comparison of experimental data, it is found that the average recognition rate in Matlab simulation is 86.67%, while in Zynq FPGA platform test, the recognition rate is 80.67%. Using Zynq FPGA AX7020 as a platform to realize speech recognition, the recognition rate is higher than the traditional speech recognition technology.

关键词： Zynq FPGA speech recognition feature extraction MFCC

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Equivalent circuit Model of Strip Line up to 110GHz 13

Equivalent Circuit Model of Strip Line up to 110GHz

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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： Xu, Ji Wang, Da-Wei Liu, Jun Su, Guo-Dong Zhao, Wen-Sheng Xi'An Jiaotong University Key Lab of Micro-Nano Electronics and System Integration of xi'An City School of Microelectronics Shaanxi Xi'an710049 China Hangzhou Dianzi University Zhejiang Prov. Key Lab of Large-Scale Integrated Circuit Design School of Electronics Information Zhejiang Hangzhou310018 China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

Based on the wafer level packaging technology, different widths and lengths of the strip line was designed, fabricate and measured. Meanwhile, to characterize the high frequency characteristics of the strip line, the skin effect has been considered to the transmission line theory equivalent circuit model. The proposed model is in good agreement with the measured data of the strip line in the frequency range of 10 GHz - 110 GHz. The proposed model can effectively support the co-simulation of the active device model and passive device model in heterogeneous integrated package, accelerate the optimization speed of circuit design iteration, and help reduce the time cost of the EM simulation of layout. © 2022 IEEE.

关键词： Equivalent circuits

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Voice Control system Based on Zynq FPGA

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Journal of Physics: Conference Series 2020年第1期1631卷

作者： Weili Liu Integrated Circuit Design and Integration System Microelectronics Academy Dalian University of Technology Dalian Liaoning Province China

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