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This paper presents our recent work on the development of a real world voice retrieval system, which automatically updates language models for a specific domain with the latest web data. Two of the main difficult issues in handling this system are tackled in this paper. First, when people use voice retrieval systems, new created "hot words" are inputted as the keywords. In order to ensure...
Intrusion Detection is an indispensable component of Network Security. Because exists the problems of the high false positives rate and low detection efficiency in the current intrusion detection system, in this paper, we propose a hybrid intrusion detection model and improve intrusion detection system analyzer, applying the Data fusion and data mining techniques to intrusion detection systems. We...
The performance of automatic speech recognition decreases drastically for nonnative speakers, especially those who are just beginning to learn foreign language or who have heavy accents. This paper presents a novel bilingual model modification approach to improve nonnative speech recognition via considering these great variations of accented pronunciations. Each state of baseline nonnative acoustic...
The speech recognition accuracy has been observed to decrease for nonnative speakers, especially those who are just beginning to learn foreign language or who have heavy accents. This paper presents a novel bilingual model modification approach to improve nonnative speech recognition via considering these great variations of accented pronunciations. Each state of the baseline nonnative acoustic models...
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