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Perceptual evaluation of rhythmic features in Czech English
Hanzlíková, Dagmar ; Volín, Jan (advisor) ; Klégr, Aleš (referee)
The aim of this thesis is to investigate the effect of changes in speech rhythm on the perception of personality traits which are detectable in speech. The theoretical part is concerned with the description of some important theories in the field of psychology of personality, then with summarizing research done in the effects of foreign-accented speech on perception, and finally with presenting the issue of speech rhythm with a focus on representative studies of speech rhythm and its effect on speech perception. In an independently designed experiment, the changes in speech rhythm were created by manipulating the durational patterns and pitch contours. Subsequently a perceptual test was prepared. Twenty subjects were asked to evaluate individual speech samples and rate to what extent they would characterize the speaker by the given personality trait. The results from the perceptual tests were analyzed from multiple points of view: the effects of the manipulations on the perception in general, and then in relation to the nationality of the speaker (native vs. non-native speaker), to the personality trait in question, and in relation to the individual speakers and items. The results showed some tendencies for example in perception of honesty in relation to durational patterns, or in perception of...
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Application for the calculation of speech features describing hypokinetic dysarthria
Hynšt, Miroslav ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
This thesis is about design and implementation of application for computing speech parameters on people with Parkinson disease. At the beginning is generaly described Parkinson disease and Hypokinetic dysarthria and how it affects the speech and speech parameters when it occurs. Mainly there are described areas of speech like phonation, prosody, articulation and fluent speech. As a part of next topic this thesis describes specific speech parameters with bigger meaning during diagnosis Parkinson disease and it's progress over the time. There are also mentioned few significant studies dealing with examination of speech of the subjects with diagnoses of Parkinson disease and computing some speech parameters in order to analyze their speech impairments. Part of the thesis is description of implemented standalone application for calculating, exporting and visualizing of speech parameters from selected sound records.
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A Word in a Space
Pácl, Štěpán ; VOSTRÝ, Jaroslav (advisor) ; KORČÁK, Jakub (referee)
The doctoral dissertation named A word in a space (A scene solution and an audience experience of a drama) is a theoretical reflection of six productions I was involved as a director in the years from 2008 to 2013 Four of them are wrote by czech authors: Josef Topol: The End of Carnival, Josef Kajetán Tyl: Bloody Christening or Drahomíra and her sons, František Langer: Periphery, and Lenka Lagronová: From the dust of stars; and two plays are from authors abroad: Anton Pavlovich Chekhov: Ivanov and Pedro Calderón de la Barca: Them Constant Prince. The subject of this research is the relationship between internal theme of a playwright??s text and scene solution that specifies the audience reception. I assume here, that what wiever sees and hears creates for his perception ? perception connected with experiencing followed by imagining ? binding conditions.
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Voice Conversion
Schwarz, Ivan ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
Thesis is dedicated to the making of a system for voice conversion. To methods, which alter voice of one person in a way, that it could be possible for listener to mislead it for someone elses voice. In the first part, Harmonic plus Noise Model (HNM) is described. Signal analysis and synthesis are its main purposes. Methods of voice conversion are considered in the second part. Prosodic modifications are introduced at first and then modification of a spectral envelope is discussed (Especially aplication of conversion matrices). Dynamic Time Warping (DTW) and Linear Prediction Coding (LPC) methods are explained briefly. In last section, implementation process is described and achived results are discussed. Ways of further development are suggested in summary.
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Database of vocal samples of human emotions
Hlavica, Michal ; Přinosil, Jiří (referee) ; Atassi, Hicham (advisor)
In this bachelor work is analyzed theory of emotions, how emotions arise and how they are physiologically expressed by human body. How these physiological expressions and emotions reflect into the human speech. Then is described process of creating of speech and basic prosodic and acoustic parameters relevant for research. Theory of creating of databases is described here as well, which is quality ground for database itself. The database is also part of this thesis and they are records cut from television programmes and serials. The next very important issue is description of software tool for subjective evaluating of databases, which was created as a part of this thesis. It was created in C++ language with help by compiler Builder C++ . Also a short analysis of exemplary records for every emotion is done here. This analysis deals with basic frequency, intensity and first three formants.
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State of the art speech features used during the Parkinson disease diagnosis
Bílý, Ondřej ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.
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Linear prediciton and cepstral synthesis of speech signal in the TTS system
Mekyska, Jiří ; Stejskal, Vojtěch (referee) ; Smékal, Zdeněk (advisor)
This work deals with a linear prediction and cepstral synthesis of speech signal in the TTS (Text-to-Speech) systems with the opportunity of modeling the prosody. The work contains a description of speech signal in acoustic and phonetic plane, the principle of speech production and the way we can figure the speech signal in time and frequency domain. Next, there is the TTS block structure mentioned, whereas each block has its own detailed description. In the work, the modeling of prosody using the three most important suprasegmental features (fundamental tone, continuation and speech intensity) is also described. At the end of this work, there is a design and realization of universal Czech TTS system which is based on the speech synthesis in frequency domain. This system is implemented in program MATLAB.
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Emotional State Recognition Based on Speech Signal Analysis
Čermák, Jan ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The thesis is focused on the emotional states classification in the Matlab program, using neural networks and the classifier which is based on a combination of Gaussian density functions. It deals with the speech signal processing; the prosodic and spectral signs and the MFCC coefficients were extracted from the signal. The work also deals with the quality evaluation of individual signs of which the most suitable were chosen in order to provide the correct classification of emotional states. In order to identify the emotional states, two different methods were used. The first method of classification was the use of neural networks with differently selected parameters, and the second method was the use of the Gaussian mixture model (GMM). In both methods, a database of emotional utterances was divided into the training group and the test group. The testing was based on a method independent of the speaker. The work also includes the comparison of individual analyzed methods as well as the representation and comparison of the results. The conclusion comprises a proposition for the best parameters and the best classifier for the recognition of the speaker’s emotional state.
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Automatic / Automated recogniton of emotional states based on utterance analysis
Pfeifer, Leon ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The diploma thesis deals with the analysis of human emotional states. The thesis consists of three parts. The first part is charcterize, the process of speech generating, from phonetic and psychological poin of view. In the second part there are proccesed metods and contextual things.(preprocessing of signal, voice activity detector). For calculation fundamental Frequency it was used metod of central clipping, another used metod is formant frequency analyse and the last is metod of determinatin of nuber of thorns and planes. In the thirt part there are proccesesed results of measurements performed by particural metods. It was scorred five different emotional states: neutral, anger, happiness, sadness and surprise. At the end of this part there are discussed results for each metod.
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Identification of emotional state using speech signal analysis
Navrátil, Michal ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The diploma thesis deals with the analysis of human emotional states speaker by the help of analyse speech signals. The thesis has two parts. In the first part, the process of speech generating is described in addition to the description of the commonly used pre-processing methods such as denoising or preemphasis. The first part also deals with the major and minor prosody features, these features are: the fundamental frequency, energy, spectral features and time domain features such as the speech rate. The second part of this thesis deals with a task of emotion recognition from the speech signal. When we accumulate sufficient of the number of recordings emotive state will be able to rekognize emotive state with high probability. All project is prepared for use in real time. The last part of this thesis thesis contains description and results of the experiments made on a large number of speech records.
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