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Analysis and comparison of ROC curves of audio signals
Pospíšil, Lukáš ; Staněk, Miroslav (referee) ; Poměnková, Jitka (advisor)
This thesis deals with oportunity of ROC curve usage in the description of methods that work with sound signals. Specifically, it focuses on ways of detecting of stress in speech signals. The detection itselfs is done in a range of frequencies of the sound signal. There is also a classifier designed using ROC curves that decides whether the input signal is stressed or not. The output of this thesis are findings gathered from analyses and also some recommendation based on those analyses.
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Evaluation of classification efficiency using ROC cruves
Dluhý, Vojtěch ; Sigmund, Milan (referee) ; Poměnková, Jitka (advisor)
This semestral thesis is focused on work eith the ROC curves. Introduces the reader with ROC curves and their use to analyzing signals. Also shows an algorithm for detecting sound of siren in record using a simple algorithm and evaluation of various jamming sound of sirens by displaying the ROC curves, supplemented by calculation and comparing the areas under these curves (AUC). The algorithm is written in a development enviroment Matlab.
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Evaluation of classification efficiency using ROC cruves
Dluhý, Vojtěch ; Říha, Kamil (referee) ; Poměnková, Jitka (advisor)
This bachelor thesis is focused on work eith the ROC curves. Introduces the reader with ROC curves and their use to analyzing signals and basic priciples of spectral estimation and getting an AUC for ROC curve. Also shows an algorithm for detecting sound of siren in record using a simple algorithm and evaluation of various jamming sound of sirens by displaying the ROC curves, supplemented by calculation and comparing the areas under these curves (AUC). The algorithm is written in a development enviroment Matlab.
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Analysis and comparison of ROC curves of audio signals
Pospíšil, Lukáš ; Staněk, Miroslav (referee) ; Poměnková, Jitka (advisor)
This thesis deals with oportunity of ROC curve usage in the description of methods that work with sound signals. Specifically, it focuses on ways of detecting of stress in speech signals. The detection itselfs is done in a range of frequencies of the sound signal. There is also a classifier designed using ROC curves that decides whether the input signal is stressed or not. The output of this thesis are findings gathered from analyses and also some recommendation based on those analyses.
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Evaluation of classification efficiency using ROC cruves
Dluhý, Vojtěch ; Říha, Kamil (referee) ; Poměnková, Jitka (advisor)
This bachelor thesis is focused on work eith the ROC curves. Introduces the reader with ROC curves and their use to analyzing signals and basic priciples of spectral estimation and getting an AUC for ROC curve. Also shows an algorithm for detecting sound of siren in record using a simple algorithm and evaluation of various jamming sound of sirens by displaying the ROC curves, supplemented by calculation and comparing the areas under these curves (AUC). The algorithm is written in a development enviroment Matlab.
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Evaluation of classification efficiency using ROC cruves
Dluhý, Vojtěch ; Sigmund, Milan (referee) ; Poměnková, Jitka (advisor)
This semestral thesis is focused on work eith the ROC curves. Introduces the reader with ROC curves and their use to analyzing signals. Also shows an algorithm for detecting sound of siren in record using a simple algorithm and evaluation of various jamming sound of sirens by displaying the ROC curves, supplemented by calculation and comparing the areas under these curves (AUC). The algorithm is written in a development enviroment Matlab.
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