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Automatic Recognition of Logopaedic Defect in Speech Utterances
Dušil, Lubomír ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The thesis is aimed at an analysis and automatic detection of logopaedic defects in speech utterance. Its objective is to facilitate and accelerate the work of logopaedists and to increase percentage of detected logopaedic defects in children of the youngest possible age followed by the most successful treatment. It presents methods of speech work, classification of the defects within individual stages of child development and appropriate words for identification of the speech defects and their subsequent remedy. After that there are analyses of methods of calculating coefficients which reflect human speech best. Also classifiers which are used to discern and determine whether it is a speech defect or not. Classifiers exploit coefficients for their work. Coefficients and classifiers are being tested and their best combination is being looked for in order to achieve the highest possible success rate of the automatic detection of the speech defects. All the programming and testing jobs has been conducted in the Matlab programme.
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Recognition methods for biosignals
Juračka, Zdeněk ; Vítek, Martin (referee) ; Kolářová, Jana (advisor)
The thesis is focused on the recognition methods study used in one-dimensional signal processing. A lot of recognition methods exist, this thesis briefly describes the principle of some of them, e.g. artificial neural networks, fuzzy systems, expert systems and decision trees. Dynamic time warping (DTW) method has been chosen for signal processing available from UBMI database. DTW can be used as a non-linear signal processing method. The result of this method is to determine the similarity of two compared signals on the basis of their distance calculation. One of the reasons for choosing this method was the possibility of various length signal processing. The principle of the method as well as the calculation of the distance between two input data sequences is described in the thesis. DTW path finding method is also mentioned. The method was applied on randomly selected numbers and a set of simulated signals. The method was applied to ECG and action potential signals recorded on the isolated rabbit heart. DTW was used to evaluate shape changes of these signals in repeated phases of the experiment known as ischemia and reperfusion. Selected cardiac cycles were detected and included into different experiment phases on the basis of calculated distance results using DTW. Sensitivity was selected as an evaluative criterion of this classification method. It reached a value of 65%. DTW algorithm was further tested on the selected cardiac cycle mapping to the corresponding minute record in the selected experiment phase. It reached a sensitivity of 68.3%. The motion artifact appearance was monitored using DTW on AP signals. The method functioned more precisely on signals measured in ischemia phases. Along with the above mentioned, the thesis discusses all aspects of heart electrical manifestation activities called as ECG signals and action potentials, such as origin, propagation, recording, post-processing and measuring out.
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Face Detection and Recognition
Ponzer, Martin ; Janáková, Ilona (referee) ; Horák, Karel (advisor)
This paper discusses problems of computer vision, which deals with face detection and recognition in image and video sequence at real time. All methods are designed for color images and are based on skin detection on the basis of information of human skin color. For skin detection is used very effective method Gaussian distribution. All of the areas, which have human skin color, are classified. This classification specifies, which area is or isn’t face. For face detection is used correlation method, complete with eigenfaces method. All areas classified as a face are subsequently recognized by the eigenfaces method. Result of recognition phase is information about human identity.
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Support for education of biometric access systems
Navrátil, Petr ; Herencsár, Norbert (referee) ; Burda, Karel (advisor)
This thesis describes general function of biometric access systems and summarizes problems of their practical use. It also shows security risks of these systems. It defines basic terms, which are used in this area, describes kinds of errors and their representation. One part of this thesis deals with biometric method of fingerprints recognition. It explains fingerprints’ atomic basics, basic principles and processing of digital fingerprint image. Next part describes concrete biometric access system V-Station by Bioscrypt Inc. Besides basic description it focuses on technology of biometric sensor and algorithm, essential parts of biometric system. The thesis continues with security analysis of this concrete system. In this part I target on weak points of the system and I design possible attack on the system. In the last part of my thesis I designed laboratory exercise, which is supposed to be realized by student. It is composed it by several tasks to let students understand working with the system and attached software. At the same time, they have opportunity to think about system by themselves a make their own opinion about possibilities of the system. There are many pictures in this thesis to make term clear and to better understanding of problems of biometric security systems.
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Automatic recognition of the electrometer status from picture
HANZLÍK, Ondřej
This thesis deals with problems of recognition of an electrometer´s state from sensing image. It is tangibly about electrometer´s scanning by a mobile phone´s camera. There is a surface with an electrometer´s dial which is detected and on this surface the particular numbers are detected consequently. The numbers are recognized via neural network. For more information from this image there are used some techniques of image segmentation to check the status. For the classification of the segmentation´s outputs are used classification tools, especially a support vector machine (SVM) and neural networks. Problems of image segmentations are solved by using OpenCV library. OpenCV is used for the implementation of the vector machine either. Application is on Android platform. Part of the thesis is concerned in a creation of a desktop application which is instrumental towards testing of neural network. The thesis also describes how to save the necessary data gathering in the course of the recognition which are used for working with neural network. The part of the thesis also deals with running web which will be evolved for the opportunity to participate in the further development of the system. There is available a public repository with source codes created during implementation.
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The effect of the conspecific alarm vocalization on the form and intensity of antipredator behaviour of the Red-backe Shrike (\kur{Lanius collurio})
MINAŘÍK, Tomáš
I examined the effect of the conspecific mobbing call of the Red-backed Shrike (Lanius collurio) on nest defence against arial predator (kestrel). I used a playback experiment in the presence of a dummy of kestrel (Falco tinnunculus) in two variants either with nature look or with adjusted key features (pigeon beak, claws and eyes), and pigeon (Columba palumbus) as a control. Shrikes were attracted by the mobbing call and arrived to their nests faster. Only the modified kestrel was attacked more likely in the presence of the playback, that suggests possible function of the mobbing call as a cue for social learning of predator recognition.
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Level of Usage of Voice User Interface
Horáček, Jan ; Šalamon, Tomáš (advisor)
This study focuses on the voice user interface, that is the communication between a human and a machine using speech. The aim is to contribute to reader’s familiarity with basic theoretical approaches to the topic, to identify main software products and to assess their present level of usability. A recognition of crucial factors hindering mass utilization of such technologies by common users is included as well. The work consists of two parts. The goal of the first one is to introduce basic terms and principles of the functionality of the voice user interface and its three main parts: a system for speech synthesis, for speech recognition and a dialog manager. In the second part, characteristics of particular products based on the speech synthesis or recognition will be given, especially of those designed for general use on a PC. A chapter examining current situation and possible progress in the usage of the voice user interface by the visually impaired people follows. The last chapters study other possible utilities, where an adequate attention is paid especially to those bringing advantage to telephone users.
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Recognition measured values
LEITKEP, Zdeněk
This work deals recognition measured values. The main task is to find suitable method for preprocessing images and create interface to software performing recognition. Created application will be used primarily to analyze the photos on site acquisition. Application is developed in Java and properly documented on javadoc level.
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Key features and prototypes in visual predator recognition - laboratory experiments with Great Tit (\kur{Parus major})
TUMOVÁ, Petra
Categorization of predators is fundamental for birds? life. However, the mechanism is not well explained yet. Two basic theories of categorization were tested in the laboratory conditions, where we have the possibility to focus on the behavior of each individuum. In the experiments we focused on the relevance of the key features and colour patterns. The responses of the Great Tit to variously modified dummies of Sparrowhawk were observed. The results confirm that the bird does not recognize the predator only on the basis of the key features and the colour patterns have a essential influence on the categorization. Categorization of the predator is a complex process and it cannot be explained only on the basis of one psychological theory. A combination of the key features and a prototype of a particular category learned throughout its life is probably used.
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Applications of the fingerprint sensing in IT
Rakár, Peter ; Balada, Jakub (advisor) ; Kulovaný, Martin (referee)
The biometrics is a branch with long history. With the arrival of information technologies biometrics also penetrates onto the field of the computer science. Even if there have been specialists concerned with application of biometrics in informatics for decades, state of the biometric technologies does not provide hundred percent reliability. Biometrics in IT is still evolving and with improving technologies from other spheres of the human activity new challenges also arise in biometrics. Biometry of fingerprint is the most common and the most used biometry in practice. The aim of this work is to bring the problem of fingerprints sensing and recognition closer to the reader. Work describes individual characteristics of fingerprints as well as common aspects of all other biometrics. Next concern of the work is the application of fingerprints biometry in practice. It is closer concerned with the most common methods and approaches which are used in implementation of fingerprints sensing, analyzes, recognition and classification in biometric system. The goal of the work is not to create an exact guideline for fingerprints implementation but to make the reader acquainted with possibilities, advantages and weakness of the biometry of fingerprints in context of IT.
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