Národní úložiště šedé literatury Nalezeno 3 záznamů.  Hledání trvalo 0.00 vteřin. 
Mining of Textual Data from the Web for Speech Recognition
Kubalík, Jakub ; Plchot, Oldřich (oponent) ; Mikolov, Tomáš (vedoucí práce)
The preliminary goals of this project were to get familiar with language modeling for speech recognition and techniques for acquisition of text data from the Web. Speech recognition techniques are introduced and statistical language modeling is described in detail. The text also covers mining models and techniques, information retrieval especially. Specific problems of Web mining are discussed and Google search is introduced. Special attention was paid to detailed description of implementation of the text mining system. However, the main goal of this work was to determine, whether the data acquired from the Web can provide some improvement into the recognition systems. The text is describing experiments, which use the retrieved Web data to update sample language models.
Mining of Textual Data from the Web for Speech Recognition
Kubalík, Jakub ; Plchot, Oldřich (oponent) ; Mikolov, Tomáš (vedoucí práce)
The preliminary goals of this project were to get familiar with language modeling for speech recognition and techniques for acquisition of text data from the Web. Speech recognition techniques are introduced and statistical language modeling is described in detail. The text also covers mining models and techniques, information retrieval especially. Specific problems of Web mining are discussed and Google search is introduced. Special attention was paid to detailed description of implementation of the text mining system. However, the main goal of this work was to determine, whether the data acquired from the Web can provide some improvement into the recognition systems. The text is describing experiments, which use the retrieved Web data to update sample language models.
Evaluation of Kullback-Leibler Divergence
Homolová, Jitka ; Kárný, Miroslav
Kullback-Leibler divergence is a leading measure of similarity or dissimilarity of probability distributions. This technical paper collects its analytical and numerical expressions for the broad range of distributions.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.