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National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Identification of Spectral Components Significance
 Dulesov, Egor
The purpose of this work is to compare the chosen methods of spectrum estimate and ways of identification of spectral components for realization to detect the stress in voice signal. Based on learning the special literature chooses the suitable methods of spectrum estimate. Determines an expected form and thresholds of voice signal in stress situation.
Detailed record
Identification of significant spectral components in speach signal in stress
 Dulesov, Egor ; Tučková, Jana (referee) ; Poměnková, Jitka (advisor)
The aim of this master’s thesis is to learn the problem of analysis and identification of significant spectral components in speech signal. Based on learning a special literature chooses the suitable methods of spectrum estimate. Does learning the literature in specification of testing of spectral components significate. Makes a procedure for identification of chosen speech formants. Does this procedure for audio signals both of in stress and in normal state. Estimates the results, compares efficiency of chosen methods and determine threshold for chosen formant of analyzed stress signal. States the recommendations for speech spectral analysis in stress situation.
Detailed record
Identification of Spectral Components Significance
 Dulesov, Egor
The purpose of this work is to compare the chosen methods of spectrum estimate and ways of identification of spectral components for realization to detect the stress in voice signal. Based on learning the special literature chooses the suitable methods of spectrum estimate. Determines an expected form and thresholds of voice signal in stress situation.
Detailed record
Identification of significant spectral components in speach signal in stress
 Dulesov, Egor ; Tučková, Jana (referee) ; Poměnková, Jitka (advisor)
The aim of this master’s thesis is to learn the problem of analysis and identification of significant spectral components in speech signal. Based on learning a special literature chooses the suitable methods of spectrum estimate. Does learning the literature in specification of testing of spectral components significate. Makes a procedure for identification of chosen speech formants. Does this procedure for audio signals both of in stress and in normal state. Estimates the results, compares efficiency of chosen methods and determine threshold for chosen formant of analyzed stress signal. States the recommendations for speech spectral analysis in stress situation.
Detailed record

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