Sound source tracking (I)
This report studies the optimization of a default manufactured product known as MicroElectro-Mechanical Systems (MEMS) microphone arrays. In this project, MEMS microphone arrays were used to analyze and determine the direction of a sound source in an open environment which was previously conducted i...
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2020
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sg-ntu-dr.10356-1386472023-07-07T18:08:41Z Sound source tracking (I) Lee, Ben Ng Boon Poh School of Electrical and Electronic Engineering EBPNG@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This report studies the optimization of a default manufactured product known as MicroElectro-Mechanical Systems (MEMS) microphone arrays. In this project, MEMS microphone arrays were used to analyze and determine the direction of a sound source in an open environment which was previously conducted in an enclosed environment without high background noises. The software used to record and analyze the direction of the sound source were Audacity and MATLAB. Additionally, the type of algorithm that was implemented for this experiment are known as Capon’s Minimum Variance Distortionless Response (MVDR) and it was used to estimate the Direction of Arrival (DOA) of the sound source. The experimental result shows that the default setup that was previously tested in an enclosed environment was not ideal when it was placed in an open environment. Hence, changes have been made to increase the aperture distance between two adjacent MEMS microphones to 5cm from previously 1.5cm. The results obtained after the changes show an increase in directional estimation’s accuracy. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-11T06:27:20Z 2020-05-11T06:27:20Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138647 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Lee, Ben Sound source tracking (I) |
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This report studies the optimization of a default manufactured product known as MicroElectro-Mechanical Systems (MEMS) microphone arrays. In this project, MEMS microphone arrays were used to analyze and determine the direction of a sound source in an open environment which was previously conducted in an enclosed environment without high background noises. The software used to record and analyze the direction of the sound source were Audacity and MATLAB. Additionally, the type of algorithm that was implemented for this experiment are known as Capon’s Minimum Variance Distortionless Response (MVDR) and it was used to estimate the Direction of Arrival (DOA) of the sound source. The experimental result shows that the default setup that was previously tested in an enclosed environment was not ideal when it was placed in an open environment. Hence, changes have been made to increase the aperture distance between two adjacent MEMS microphones to 5cm from previously 1.5cm. The results obtained after the changes show an increase in directional estimation’s accuracy. |
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Ng Boon Poh |
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Ng Boon Poh Lee, Ben |
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Final Year Project |
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Lee, Ben |
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Lee, Ben |
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Sound source tracking (I) |
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Sound source tracking (I) |
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Sound source tracking (I) |
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Sound source tracking (I) |
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Sound source tracking (I) |
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sound source tracking (i) |
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Nanyang Technological University |
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2020 |
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https://hdl.handle.net/10356/138647 |
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