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Handwriting Recognition
Zouhar, David ; Řezníček, Ivo (referee) ; Mlích, Jozef (advisor)
This bachelor thesis deals with the handwritten character recognition in real time. It describes the ways how to obtain information for the text recognition, methods used in classification and it describes application made for getting text from drawn characters. It is also engaged in evaluation the created application. It deals with the experiments that were conducted to improve success of recognition. Thanks to the experiments, the success that was achieved was approximately 85%.
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Prediction of Homolog Protein Sequences
Chlupová, Hana ; Bendl, Jaroslav (referee) ; Martínek, Tomáš (advisor)
Prediction and searching for homologous protein sequences is one of important tasks which are currently being addressed in the area of bioinformatics. According to the determination of homologous sequences of unknown protein sequence it is often possible to determine its structure and function in the organism. For searching homologous sequences, the most frequently used tools are based on direct sequence comparison, profile comparison or on the use of hidden Markov models. There is no universal method better than all others. To satisfy user`s request on needed sequence identity between domains and error rate between founded true positive and false positive pairs, the selection of proper method and its settings is needed. This work is focused to create tool which will help user to choose the best method and its settings according to his requirements. It was created on the basis of the analysis of method results with different settings. In addition, the implemented application offers the possibility to run this method and show its results.
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Text to Audio Alignment
Šíma, Tomáš ; Baskar, Murali Karthick (referee) ; Szőke, Igor (advisor)
The purpose of this work is to research existing text-to-speech aligning algorithms. We chose an implementation of one these algorithms, based on Hidden-Markov Joint-Sequence Models, and we explored its strengths, quirks and weaknesses. We explored whether it is possible to predict the alignment accuracy using probability values generated from Viterbi algorithm and the beam search value. Our testing data comes from the BBC as part of MGB Challenge 2015. This data creates, with its high content diversity, near perfect testing set to prove our algorithm is flexible and error independent.
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Fixed-Point Implementation Speech Recognizer
Král, Tomáš ; Černocký, Jan (referee) ; Burget, Lukáš (advisor)
Master thesis is related to the problematics of automatic speech recognition on systems with restricted hardware resources - embedded systems. The object of this work was to design and implement speech recognition system on embedded systems, that do not contain floating-point processing units. First objective was to choose proper hardware architecture. Based on the knowledge of available HW resources, the recognition system design was made. During the system development, optimalization was made on constituent elements so they could be mounted on chosen HW. The result of the the project is successful recognition of Czech numerals on embedded system.
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Isolated word recognition
Vodička, Radek ; Křupka, Aleš (referee) ; Sysel, Petr (advisor)
Main purpose of the thesis is to study the processes and methods of isolated words recognition. In the theoretical part a basic principals are explained. The practical part is about the program creating using these principles in practice. For isolated words recognition Hidden Markov Models (HMM) are used, for obtaining decision symptoms cepstral analysis is chosen.
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Mouse-Less Keyboard-Less Human-Computer Interaction
Jaroň, Lukáš ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
In this Bachelor thesis are described suggestions of ways you can control the computer without a mouse and keyboard, just motion of hand, and user interfaces. Then there is the theory describes tools used to develop experimental applications that simulate the proposed interface. And the entire development cycle from problem analysis, specification and implementation, to testing of final application. The result of this work is the interface, that can recognize eight different hand movements and use them as input to the system.
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Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
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Pilot proficiency classification from gaze
Ruta, Dominik ; Vlk, Jan (referee) ; Chudý, Peter (advisor)
Tato práce se zabývá klasifikací úrovně odbornosti pilota a leteckých manévrů z pohledu očí. Cílem je poskytnout další cenný nástroj pro hodnocení pilotáže leteckými instruktory~a~poskytnout tak zpětnou vazbu trénovaným pilotům. Tato myšlenka je založena na základě výsledků relevantních studií, které objevily korelaci mezi užíváním efektivních skenovacích vzorů a doménové výkonnosti. V této práci jsou uvažovány dvě třídy odbornosti --- piloti a nováčci. Tato práce využívá běžné metriky pro analýzu pohledu očí. Dále jsou v této práci využity klasifikační techniky strojového učení. Metoda podpůrných vektorů je využita pro klasifikaci úrovně způsobilosti, zatímco pro klasifikaci leteckých manévrů jsou využity skryté Markovovy modely. Výsledkem práce je vysoce přesná klasifikace úrovně odbornosti pilot a dobrá schopnost rozeznat individuální letecké manévry provedené piloty.
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Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.
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Signal processing by hidden Markov models
Hampl, Jindřich ; Pfeifer, Václav (referee) ; Sigmund, Milan (advisor)
One of the most common methods for isolated words recognition is based on Hidden Markov models. Speech signal can be considered as a sequence of successive parts of the signal with specific statistical parameters. Hidden Markov model corresponds to the statistical model with the final number of states, which may be useful for signals such as speech. HTK module is a software tools, which is mostly used to work with hidden Markov models.
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