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FPGA Implementation of Sound Source Localization Algorithm Based on Microphone Array

Author: RenYong
Tutor: HuFangMing
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Microphone array Sound Source Localization Delay estimation Generalized cross-correlation function FPGA
CLC: TN912.3
Type: Master's thesis
Year: 2011
Downloads: 153
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Abstract


The positioning of the sound source to determine the location of a sound source in space , is one of the key technologies of the microphone array signal processing , has a broad application prospects . Sound source is positioned by the microphone array receives a voice signal and processing, thereby determining and tracking the position of the speaker . Sound source localization technology based on microphone array is a new research focus of the speech signal processing field , is also an important practical significance . With the deepening of research , the technology has been the occasion of the video conferencing , telephone conferencing , intelligent robots , voice detection and voice recognition has been widely used. FPGA - based implementations , however , are still very rare , this article discusses in detail and sound source localization algorithm is implemented on FPGA , mainly to do the following work : a general overview of the first sound source localization Research , summarized compare the advantages and disadvantages of various positioning methods . The basic principles of the characteristics of the speech signal processing and pretreatment methods and their implementation . Secondly , discusses the basic principles of the delay estimation , and gave details of the the geometric positioning method based on time delay estimation . Delay estimation based on the sound source localization method is generally carried out in two steps : The first step is to obtain the time delay estimation for each microphone pair , the second step is based on delay estimates and the spatial position of the microphone is estimated location of the sound source . Then , combined with the introduction and analysis of the previous , given one kind of concrete realization of the sound source localization algorithm . Finally , using a hardware description language to achieve a sub-module of the algorithm , optimized for each module . The simulation results and the timing waveform diagram . Master module : bandpass filtering , windowing sub- frame , endpoint detection delay estimation, position estimation .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing
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