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This paper presents articulatory feature-based automatic speech recognition for Japanese spoken language. Automatic speech recognition system suffers from some hidden factors, such as speaking style, gender effects, and noisy acoustic environment. These hidden factors degrade the performance of automatic speech recognizer. Therefore, the effect of these factors should be minimized for achieving better...
Data mining techniques are very popular in modern days and are used in NLP (Natural Language Processing). It allows users to analyze data from many different perspectives, categorize it, and summarize the relationships identified. One of the techniques, clustering items to groups, has been very popular. We use this technique here to find different topics in a document. We aim to replicate previous...
Data mining is the process of extracting non-trivial patterns from large amount of data. In recent decades we found the most diversity in every area and region of ecology and climate. As days go by, we are getting towards the destruction of our water system and for this reason in the upcoming years we might face the problem of lacking water. Not only the population and its disruption could cause this...
The real recommendation will involve not only unsurprised, but some surprised elements sometimes. We are constantly experiencing this serendipity element in our daily life. However, today's data mining technology cannot support this function adequately. In this paper, we hypothesize that there should be some relevant serendipity elements on a radio station's music playlist. The radio station makes...
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