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Analysis of Telephone Call of Two People
Herceková, Monika ; Schwarz, Petr (referee) ; Matějka, Pavel (advisor)
This thesis deals with analysis of two people's phone call. It describes possible ways of speech and silence appearence in record and reasons criteria for listening the record. There is implemented prototype of application suggested in the thesis for analysis of telephone call. There are introduced possible extensions of the work at the end of the thesis.
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Agreements and Disagreements between Automatic and Human Speaker Recognition
Valenta, Jakub ; Matějka, Pavel (referee) ; Rohdin, Johan Andréas (advisor)
Tato práce se zabývá problémem rozpoznáváním mluvčího. Uvedený pojem je definován a doplněn o jednotlivé metody, které s ním souvisí. Cílem práce je poukázat na shody a rozdíly mezi lidským a automatickým procesem rozpoznávání mluvčího. V úvodu práce jsou popsány teoretické poznatky z obou zmíněných oblastí, tj. na jaké aspekty lidské řeči se zaměřuje člověk, resp. automatický systém. Následně je provedeno několik experimentů, které mají za úkol srovnat tyto dvě metody. Tyto experimenty jsou vyhodnoceny tak, že je možné pozorovat, které testovací úlohy dokáže lépe vyřešit člověk, aby následně bylo možné tyto poznatky použít ke zlepšení funkce automatického systému. V závěru práce je takovýto návrh na zlepšení automatického systému předveden a otestován. Testování proběhlo úspěšně a byla zaznamenána vyšší přesnost při vyhodnocování. Takový výsledek tedy může být užitý v dalších výzkumech a umožnit tak další vývoj v oblasti automatického rozpoznávání mluvčích.
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Turning tools
Matějka, Petr ; Dvořák, Jaromír (referee) ; Humár, Anton (advisor)
The bachelor's thesis is focused on tunning tools in term of classification, marking, materials, usage, modern trends of development, and production from prestigious producers in materials and constructional area.
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Structural members of prostheses of upper extremities
Mužný, Lukáš ; Opl, Miroslav (referee) ; Matějka, Petr (advisor)
This bachelor thesis deals with the upper limb prosthesis. The target of the project is to create an overview of the distribution and types of prostheses and their individual elements. In particular, it deals with the problem myoelctric prostheses. Provides information on the biomechanics of human arm, specifies options grip of the object, gives an overview of the research centers and their substitutes developed upper limbs. It also focuses on the possibility of prostheses control by myoelectric signals.
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Intelligent Meeting Room Controlled by Voice
Bauer, Jan ; Matějka, Pavel (referee) ; Schwarz, Petr (advisor)
The aim of the thesis is to design and create system for intelligent room controlled by voice. The solution is based on Phonexia Speech Engine developed by Phonexia. The system runs on Raspberry Pi. The core functionality of the system is implemented in Python. The resulting solution is certainly interesting and with some updates may become intelligent assistant for meettings.
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Description of lathe machines
Bašek, Ondřej ; Matějka, Petr (referee) ; Blecha, Petr (advisor)
This thesis is concerned with sorting of horizontal lathe machines and description of their individual parts. Some examples of horizontal lathe machines are introduced here and are also distributed according to different types. Description and characteristics of the individual lathe machines are named. The thesis is concerned with the lathe machines of present world production.
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Construction of Equatorial Fork Mount
Tůma, Jiří ; Matějka, Petr (referee) ; Pavlík, Jan (advisor)
This master's thesis deals with design of equatorial fork mount for astronomical telescope. The issue of space object watching equipment is deeply analysed. The enclosures of analysis are used in design project. Important aspects are accuracy of motion and high resolution of mount. These parameters are compared with series manufactured equatorial mounts.
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Acoustic Scene Classification from Speech
Grepl, Filip ; Beneš, Karel (referee) ; Matějka, Pavel (advisor)
This thesis deals with creating a system whose task is to recognize what type of location the recording was created at by analyzing the audio signal. The classifier is based on a multi-layer, fully connected neural network. The topology of the neural network is based on the baseline system provided for the DCASE competition. A dataset from this competition is also used for training and evaluating the neural network. The experiments are performed in particular with the representation of the properties of the audio records and with the format of the input data of the neural network. For this purpose, Mel-filter bank, block Mel-filter bank and MFCC flags are used. The experiments performed in this thesis brought a classification accuracy increased by 6.5 % compared to the baseline system of DCASE. Overall system success rate reached 67.5 %.
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Text Dependent Speaker Verification
Fux, Jan ; Glembek, Ondřej (referee) ; Matějka, Pavel (advisor)
The goal of this Bachelor's thesis was to design text dependent speaker recognition system. There were few systems tested for MIT database. This database contains recordings of 0.46s average length. Best case for recognition is to use a combination of DTW system using posterior probability estimation (posteriograms) as an output of Phoneme recognizer and acoustic SID system based on iVectors and PLDA (Probabilistic Linear Component Analysis). Fusion with Neural network gives the best results (EER). These are 17.84% EER for women and 16.38% for men. It's 49.9% relative improvement for women and 54.2% for men against acoustic recognition alone.
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