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Subjective assessment of disturbing noise from gramophone records
Vlašín, Martin ; Martinásek, Zdeněk (referee) ; Rášo, Ondřej (advisor)
The bachelor thesis is focused on distortion that occurs by playing gramophone records. Due to functional principle of turntable and due to origin of individual distortion, which may occur while playing records, were selected two most significant and most frequently occurring distortion. For these distortion is studied their effect on subjective assessment of audio record. From data obtained from participants in the listening test was performed statistical analysis, also test of reliability and detection of any possible errors occurring in the assessments of individual listeners. The conclusions from results confirmed differences between two distortions and also between different audio samples on the subjective perception of the quality of audio experience for listener.
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Application of statistical analysis of speech in patients with Parkinson's disease
Bijota, Jan ; Mžourek, Zdeněk (referee) ; Galáž, Zoltán (advisor)
This thesis deals with speech analysis of people who suffer from Parkinson’s disease. Purpose of this thesis is to obtain statistical sample of speech parameters which helps to determine if examined person is suffering from Parkinson’s disease. Statistical sample is based on hypokinetic dysarthria detection. For speech signal pre-processing DC-offset removal and pre-emphasis are used. The next step is to divide signal into frames. Phonation parameters, MFCC and PLP coefficients are used for characterization of framed speech signal. After parametrization the speech signal can be analyzed by statistical methods. For statistical analysis in this thesis Spearman’s and Pearson’s correlation coefficients, mutual information, Mann-Whitney U test and Student’s t-test are used. The thesis results are the groups of speech parameters for individual long czech vowels which are the best indicator of the difference between healthy person and patient suffering from Parkinson’s disease. These result can be helpful in medical diagnosis of a patient.
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Subjective assessment of disturbing noise from gramophone records
Vlašín, Martin ; Martinásek, Zdeněk (referee) ; Rášo, Ondřej (advisor)
The bachelor thesis is focused on distortion that occurs by playing gramophone records. Due to functional principle of turntable and due to origin of individual distortion, which may occur while playing records, were selected two most significant and most frequently occurring distortion. For these distortion is studied their effect on subjective assessment of audio record. From data obtained from participants in the listening test was performed statistical analysis, also test of reliability and detection of any possible errors occurring in the assessments of individual listeners. The conclusions from results confirmed differences between two distortions and also between different audio samples on the subjective perception of the quality of audio experience for listener.
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Application of statistical analysis of speech in patients with Parkinson's disease
Bijota, Jan ; Mžourek, Zdeněk (referee) ; Galáž, Zoltán (advisor)
This thesis deals with speech analysis of people who suffer from Parkinson’s disease. Purpose of this thesis is to obtain statistical sample of speech parameters which helps to determine if examined person is suffering from Parkinson’s disease. Statistical sample is based on hypokinetic dysarthria detection. For speech signal pre-processing DC-offset removal and pre-emphasis are used. The next step is to divide signal into frames. Phonation parameters, MFCC and PLP coefficients are used for characterization of framed speech signal. After parametrization the speech signal can be analyzed by statistical methods. For statistical analysis in this thesis Spearman’s and Pearson’s correlation coefficients, mutual information, Mann-Whitney U test and Student’s t-test are used. The thesis results are the groups of speech parameters for individual long czech vowels which are the best indicator of the difference between healthy person and patient suffering from Parkinson’s disease. These result can be helpful in medical diagnosis of a patient.
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