National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Automatic Acquisition of Data from the Internet for Training of Recognizers
Jeřábek, Jan ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
This paper describes the design and creation of an application to facilitate downloading of audio data from Internet for training recognizers. Focuses on selection of optimal data source and analyzes options for searching and downloading from selected medium. On this base appropriate selection of tools and libraries is described. Description of the implementation follows where key parts of application are described. In the conclusion are summarised the achieved results and proposal for futher development.
Control of Embedded System Through Internet
Horák, Jakub ; Podivínský, Jakub (referee) ; Dobai, Roland (advisor)
The goal of this bachelor thesis is to enable a regular user to control the embedded system on Xilinx Zynq, which will include audio codec ADAU1761. In the thesis I will describe what is required to connect the device to the Xilinx Zynq platform. After that, the device’s control through Internet will be described, followed by the design and implementation of an application that will allow the user to interact with the device.
Control of Embedded System Through Internet
Horák, Jakub ; Podivínský, Jakub (referee) ; Dobai, Roland (advisor)
The goal of this bachelor thesis is to enable a regular user to control the embedded system on Xilinx Zynq, which will include audio codec ADAU1761. In the thesis I will describe what is required to connect the device to the Xilinx Zynq platform. After that, the device’s control through Internet will be described, followed by the design and implementation of an application that will allow the user to interact with the device.
Automatic Acquisition of Data from the Internet for Training of Recognizers
Jeřábek, Jan ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
This paper describes the design and creation of an application to facilitate downloading of audio data from Internet for training recognizers. Focuses on selection of optimal data source and analyzes options for searching and downloading from selected medium. On this base appropriate selection of tools and libraries is described. Description of the implementation follows where key parts of application are described. In the conclusion are summarised the achieved results and proposal for futher development.

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