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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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Adjusting Acoustic of Listening Room for Subjective Assessment of Quality of Audiovisual Systems
Bijota, Jan ; Kurc, David (referee) ; Schimmel, Jiří (advisor)
The thesis deals with acoustics of the listening room, which has to be modified to fulfil requirements in reccomendation ITU-R BS.1116. It analyses electro-acoustic reproduction chain, geometric and acoustic properties of the listening room and it also deals with conditions, which the reccomendation imposes on reference listening area. Thesis proposes a solution of listening arrangements and listening room model design according to reccomendation. This model design will be used for acoustic simulation program purposes. Resources of this thesis were speaker data sheet and my own measuring of reference monitor loudspeakers, reference listening room and reference sound field. Listening arangement was made in Microsoft Visio 2013 software. SketchUp Make software was used for model design of reference room. This model design was imported to EASE simulating software and then I started reference sound field simulation. Results of measurements and simulation don't fulfil requirements in reccomendation ITU-R BS.1116. Room can be modified by bass traps, but this modification will only reduce reverbation time. This thesis offers an insight of reproduction chain analysis and also may serve for future modification purposes of reference listening room.
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Adjusting Acoustic of Listening Room for Subjective Assessment of Quality of Audiovisual Systems
Bijota, Jan ; Kurc, David (referee) ; Schimmel, Jiří (advisor)
The thesis deals with acoustics of the listening room, which has to be modified to fulfil requirements in reccomendation ITU-R BS.1116. It analyses electro-acoustic reproduction chain, geometric and acoustic properties of the listening room and it also deals with conditions, which the reccomendation imposes on reference listening area. Thesis proposes a solution of listening arrangements and listening room model design according to reccomendation. This model design will be used for acoustic simulation program purposes. Resources of this thesis were speaker data sheet and my own measuring of reference monitor loudspeakers, reference listening room and reference sound field. Listening arangement was made in Microsoft Visio 2013 software. SketchUp Make software was used for model design of reference room. This model design was imported to EASE simulating software and then I started reference sound field simulation. Results of measurements and simulation don't fulfil requirements in reccomendation ITU-R BS.1116. Room can be modified by bass traps, but this modification will only reduce reverbation time. This thesis offers an insight of reproduction chain analysis and also may serve for future modification purposes of reference listening room.
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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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