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Beamforming system with FPGA
Vadinský, Václav ; Vágner, Martin (referee) ; Havránek, Zdeněk (advisor)
This thesis deals with processing signals from the microphone arrays for sound source localization. Compares different types of fields, such as cross-field and circular array. It is shown here how to implement Beamforming on FPGA and design of signal processing with a microphone array.
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Design of portable microphone array
Vazovan, Ľubomír ; Kubík, Michal (referee) ; Klapka, Milan (advisor)
The subject of this thesis is the structural design of portable five-arms microphone array to localize noise sources, which is using to beamforming techniques. The aim of the work is to design a simple and easy mechanical construction. Part of the work is the solution to connect the measurement microphone to the construction field. The first part is devoted to the theory of beamforming, design the microphone array for beamforming and offered an overview of plane mic fields. The next part of my work is drafting the proposals selected nodes from which you select a specific design. In conclusion I evaluate the economics of construction.
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Localization acoustic near-field sources
Šuránek, David ; Sysel, Petr (referee) ; Míča, Ivan (advisor)
This thesis is focused on acoustic source localization in near field situation. First part of this thesis is dedicated to examining the fundamental issues of acoustic source localization. After that are some of acoustic source localization methods described. Next part is focused on implementation, verification of functionality, comparing of the successfulness and results of the localization. In conclusion are summarized the outcomes of the thesis.
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Design and testing of the system for localizing a sound source
Havelka, Martin ; Vechetová, Jana (referee) ; Najman, Jan (advisor)
This bachelor’s thesis deals with possibilities of sound source localization. There are generally mentioned possible hardware and software solutions at the beginning, from which two applicable methods and suitable components of test device are selected. Further there is a practical part of this work, where programmed algorithms are described. An essential part is testing. Accuracy is tested for the selected microphone array, depending on the change in the number and position of the sensors, the effect of ambient noise, and the location of the obstacle in the area. The output of the tests is the evaluation of functionality and accuracy for both methods used.
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Visualization of sound fields
Kovář, Petr ; Klusáček, Stanislav (referee) ; Havránek, Zdeněk (advisor)
This bachelor's thesis deals with problems of acoustical field visualization using near-field acoustical holography. This method is often refered as NAH. Within the thesis the basic acoustical field variables are processed and described. Two algorithms were analysed, namely the Statistically Optimal Algorithm (SONAH) and the Iterative Algorithm using the Fourier Transform (STFT) with a K-filter (Wave-Domain Filter). These algorithms are described in detail. The outcome of the practical part of this thesis is the application for sound pressure visualization. The application is created in the LabVIEW environment from the known codes and the calculation of the sound pressure is performed with one of the two algorithms described in this thesis. From depicted acoustical maps the disadvantages of this method and differences between algorithm are shown. These algorithms are then compared according to speed of the calculation.
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Acoustic Detection of Speaker Position Using Microphone Array
Horázný, František ; Mošner, Ladislav (referee) ; Szőke, Igor (advisor)
This thesis describes the problem of determining the approximate position of a sound source in a coordinate system needed using the microphone field. It covers all possible variables influencing the detection of the sound source and explains the basic methods which can be used to determine the origin of the sound. The solution proposed in this thesis is to use synchronized static recordings and further modifications for running the program in real-time on the provided ARM/SHARC system, which has limited performance. This thesis contains also tests of the individual components and their parameters. The effect of changing these parameters on the behavior of the system is also shown in this thesis. Additionally, the developed application is used to perform the experiments demonstrating the shift of results during computation without any limitations and when running on the sound system. It also shows experiments with the resulting application, how the results change when calculating without performance limitation and when running on a sound card. Finally, this thesis gives several recommendations and assumptions on how to improve the results when using the program and how to eliminate several system limitations in unfavorable conditions.
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Acoustic Detection of Speaker Position Using Microphone Array
Chu, Yen Nhi ; Žmolíková, Kateřina (referee) ; Szőke, Igor (advisor)
The purpose of this thesis is to create a system for detection of speaker position in a closed room equipped with microphone array. It deals with two algorithms for sound source localization, namely beamforming and time difference of arrival. The methods were implemented on the provided hardware, reliability of the methods was tested and results were evaluated. The results have shown that both used methods were relatively accurate if used in small space (approx. 3×3 m). Shortcomings of the solution were analyzed in detail, possible improvements were proposed. This work can be used as a basis for creating embedded systems for sound source localization.
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Acoustic detection of starlings through artificial intelligence
Zezula, Benjamin ; Vlachová Hutová, Eliška (referee) ; Marcoň, Petr (advisor)
To protect the vineyards from starlings is very costly and ineffective with the available resources over a period of time. In my project, I have designed a detection module that relays information about the flock location in the vineyard to the control module and thus produces scaring. I have designed two kinds of detection modules, which are compared. The first variant consists of a single directional microphone that rotates and sequentially senses the entire area of the vineyard. The second variant consists of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located. Both detection modules process the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm powered by MobileNetV2 architecture.
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Acoustic Detection of Speaker Position Using Microphone Array
Horázný, František ; Mošner, Ladislav (referee) ; Szőke, Igor (advisor)
This thesis describes the problem of determining the approximate position of a sound source in a coordinate system needed using the microphone field. It covers all possible variables influencing the detection of the sound source and explains the basic methods which can be used to determine the origin of the sound. The solution proposed in this thesis is to use synchronized static recordings and further modifications for running the program in real-time on the provided ARM/SHARC system, which has limited performance. This thesis contains also tests of the individual components and their parameters. The effect of changing these parameters on the behavior of the system is also shown in this thesis. Additionally, the developed application is used to perform the experiments demonstrating the shift of results during computation without any limitations and when running on the sound system. It also shows experiments with the resulting application, how the results change when calculating without performance limitation and when running on a sound card. Finally, this thesis gives several recommendations and assumptions on how to improve the results when using the program and how to eliminate several system limitations in unfavorable conditions.
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Acoustic Detection of Speaker Position Using Microphone Array
Pelz, Zdeněk ; Novotný, Ondřej (referee) ; Szőke, Igor (advisor)
This thesis explores problematics of speaker localization using microphone array. Aim of this thesis is implementation of algorithms for speaker localization and experiments with those algorithms. Calculation of TDOA was done using cross-correlation and hyperbolic method was used to calculate position estimation. Finished microphone array is able to locate speaker within certain variance. Results of this thesis allow reader to make assumptions regarding accuracy of localisation using microphone array and ARM kit with limited performance. Precision of position estimation using microphone array reached several decimeters, but this precision is dependent on distance from microphone array.
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