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Hand Writing Letters Recognition
Jelínek, Radek ; Žák, Jakub (referee) ; Zbořil, František (advisor)
The thesis deals with handwriting recognition and conversion into digital form. Recognition is focused on recognition of letters and finding success when you did not use the dictionary for word recognition. One part of document is compare with commercial applications.
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Convolutional Networks for Historic Text Recognition
Macurová, Nela ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This thesis deals with the recognition of historical texts using deep neural networks, specifically the recognition of individual words in Gothic script in Czech. Here is a general overview of convolutional networks and text recognition methods. A dataset was created with real and generated data. The network was trained on generated data and testing on real images of words. This proposed word classification method was not very successful due to different test and training data.
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Convolutional Networks for Historic Text Recognition
Macurová, Nela ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This thesis deals with the recognition of historical texts using deep neural networks, specifically the recognition of individual words in Gothic script in Czech. Here is a general overview of convolutional networks and text recognition methods. A dataset was created with real and generated data. The network was trained on generated data and testing on real images of words. This proposed word classification method was not very successful due to different test and training data.
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Pronunciation Validation in Speech Therapy Application
Černý, Patrik ; Peterek, Nino (advisor) ; Vidová Hladká, Barbora (referee)
Title: Pronunciation Validation in Speech Therapy Application Author: Bc. Patrik Černý Institute: Institute of Formal and Applied Linguistics Supervisor: Mgr. Nino Peterek, Ph.D., Institute of Formal and Applied Linguistics Abstract: A goal of this thesis is to design, create and test speech validation method based on current speech recognition algorithms. Resulting software is a speech therapy application for sounds or words training with feedback about pronunciation accuracy. Speech validation is based on CMUSphinx tools and on inaccurate pronunciation generation (using phonetic dictionary). Records with accurate and inaccurate pronunciations has been collected for training and testing purposes. It has been shown, that this design is not appropriate. Thanks to the software design, application can be easily extended by techniques, that could improve validation efficiency. Keywords: speech validation, word recognition, dyslalia, speech therapy appli- cation
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Voice command for a TV set
Černý, Patrik ; Straňák, Pavel (advisor) ; Peterek, Nino (referee)
Title: Voice command for a TV set Author: Patrik Černý Department: Institute of Formal and Applied Linguistics Supervisor: Mgr. Pavel Straňák, Ph.D. Abstract: A goal of this thesis is to create television voice control intended for poeple with speech and movement disorder. This is achieved by interconnecting computer and television. Voice control is based on well-known dynamic time warping algorithm. It has been shown, that due to high and frequent changes in sound intensity the voice control of television is quite a complex task. The word recognition success rate of the final application is not very high, but for the purpose sufficient. Because of application design, program can be easily extended by techniques, that can improve recognition effectivity. Keywords: voice control, word recognition, dynamic time warping, television 1
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Hand Writing Letters Recognition
Jelínek, Radek ; Žák, Jakub (referee) ; Zbořil, František (advisor)
The thesis deals with handwriting recognition and conversion into digital form. Recognition is focused on recognition of letters and finding success when you did not use the dictionary for word recognition. One part of document is compare with commercial applications.
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