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Voice Analysis for Detection of Diseases
Chytil, Pavel ; Sigmund, Milan (vedoucí práce)
In this thesis we focused on the detection of diseases that affect the structure of the vocal tract, and in particular those that alter the characteristics of the vocal folds. An overview of current techniques is provided. We also state the source of recordings of pathological and normal speakers. The ultimate objective of the computational approach described in this thesis is to estimate the parameters of the glottal source model that would in turn enable the detection and classification of the glottis pathologies. Specifically, we describe an analysis of acoustic emissions that can be derived using a parametric model of the vocal cords.
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Stress recognition from speech signal
Staněk, Miroslav ; Přibil, Jiří (oponent) ; Tučková,, Jana (oponent) ; Sigmund, Milan (vedoucí práce)
Presented doctoral thesis is focused on development of algorithms for psychological stress detection in speech signal. The novelty of this thesis aims on two different analysis of the speech signal- the analysis of vowel polygons and the analysis of glottal pulses. By performed experiments, the doctoral thesis uncovers the possible usage of both fundamental analyses for psychological stress detection in speech. The analysis of glottal pulses in amplitude domain according to Top-To-Bottom criterion seems to be as the most effective with the combination of properly chosen classifier, which can be defined as language and phoneme independent way to stress recognition. All experiments were performed on developed Czech real stress database and some observations were also made on English database SUSAS. The variety of possibly effective ways of stress recognition in speech leads to approach very high recognition accuracy of their combination, or of their possible usage for detection of other speaker’s state, which has to be further tested and verified by appropriate databases.
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Detekce stresu v řeči
Šoltés, Samuel ; Beneš, Karel (oponent) ; Grézl, František (vedoucí práce)
Stres vplýva na človeka viacerými spôsobmi a môže viesť k poklesnutiu kvality výkonu či kritickým chybám. Detekcia stresu v reči sleduje ako sa prejavujú vplyvy stresu na reči. Cieľom tejto bakalárskej práce je priblížiť vplyvy stresu, zvoliť vhodné parametre rečového signálu, na ktorých by sa vplyvy prejavili, implementovať výpočet týchto parametrov a porovnať ich úspešnosť detekcie stresu. V práci je opísaný stres a vplyv stresorov na človeka; glotálny pulz, spektrum, základná frekvencia a formanty ako parametre rečového signálu vhodné na analýzu a detekciu stresu; návrh a implementácia výpočtu týchto parametrov a dosiahnuté výsledky výpočtov parametrov na dvoch rôznych databázach.
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Detekce stresu v řeči
Šoltés, Samuel ; Beneš, Karel (oponent) ; Grézl, František (vedoucí práce)
Stres vplýva na človeka viacerými spôsobmi a môže viesť k poklesnutiu kvality výkonu či kritickým chybám. Detekcia stresu v reči sleduje ako sa prejavujú vplyvy stresu na reči. Cieľom tejto bakalárskej práce je priblížiť vplyvy stresu, zvoliť vhodné parametre rečového signálu, na ktorých by sa vplyvy prejavili, implementovať výpočet týchto parametrov a porovnať ich úspešnosť detekcie stresu. V práci je opísaný stres a vplyv stresorov na človeka; glotálny pulz, spektrum, základná frekvencia a formanty ako parametre rečového signálu vhodné na analýzu a detekciu stresu; návrh a implementácia výpočtu týchto parametrov a dosiahnuté výsledky výpočtov parametrov na dvoch rôznych databázach.
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Stress recognition from speech signal
Staněk, Miroslav ; Přibil, Jiří (oponent) ; Tučková,, Jana (oponent) ; Sigmund, Milan (vedoucí práce)
Presented doctoral thesis is focused on development of algorithms for psychological stress detection in speech signal. The novelty of this thesis aims on two different analysis of the speech signal- the analysis of vowel polygons and the analysis of glottal pulses. By performed experiments, the doctoral thesis uncovers the possible usage of both fundamental analyses for psychological stress detection in speech. The analysis of glottal pulses in amplitude domain according to Top-To-Bottom criterion seems to be as the most effective with the combination of properly chosen classifier, which can be defined as language and phoneme independent way to stress recognition. All experiments were performed on developed Czech real stress database and some observations were also made on English database SUSAS. The variety of possibly effective ways of stress recognition in speech leads to approach very high recognition accuracy of their combination, or of their possible usage for detection of other speaker’s state, which has to be further tested and verified by appropriate databases.
|
|
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Voice Analysis for Detection of Diseases
Chytil, Pavel ; Sigmund, Milan (vedoucí práce)
In this thesis we focused on the detection of diseases that affect the structure of the vocal tract, and in particular those that alter the characteristics of the vocal folds. An overview of current techniques is provided. We also state the source of recordings of pathological and normal speakers. The ultimate objective of the computational approach described in this thesis is to estimate the parameters of the glottal source model that would in turn enable the detection and classification of the glottis pathologies. Specifically, we describe an analysis of acoustic emissions that can be derived using a parametric model of the vocal cords.
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