Abstract: Provided are transgenic Caenorhabditis elegans (C. elegans) overexpressing DNA methyltransferase 3a (Dnmt3a) and a method of producing the same. According to the method, a specific mechanism and related factors for DNA methylation mediated by Dnmt3a may be found, and a critical gene for regulating the life span of C. elegans may be identified, and therefore C. elegans may be used as an animal model for screening a drug for a DNA methylation-related disease.

Abstract: Provided are transgenic Caenorhabditis elegans (C. elegans) overexpressing DNA methyltransferase 3a (Dnmt3a) and a method of producing the same. According to the method, a specific mechanism and related factors for DNA methylation mediated by Dnmt3a may be found, and a critical gene for regulating the life span of C. elegans may be identified, and therefore C. elegans may be used as an animal model for screening a drug for a DNA methylation-related disease.

Abstract: A continuous speech recognition system to recognize continuous speech smoothly in a noisy environment. The system selects call commands, configures a minimum recognition network in token, which consists of the call commands and mute intervals including noises, recognizes the inputted speech continuously in real time, analyzes the reliability of speech recognition continuously and recognizes the continuous speech from a speaker. When a speaker delivers a call command, the system for detecting the speech interval and recognizing continuous speech in a noisy environment through the real-time recognition of call commands measures the reliability of the speech after recognizing the call command, and recognizes the speech from the speaker by transferring the speech interval following the call command to a continuous speech-recognition engine at the moment when the system recognizes the call command.

Abstract: A continuous speech recognition system to recognize continuous speech smoothly in a noisy environment. The system selects call commands, configures a minimum recognition network in token, which consists of the call commands and mute intervals including noises, recognizes the inputted speech continuously in real time, analyzes the reliability of speech recognition continuously and recognizes the continuous speech from a speaker. When a speaker delivers a call command, the system for detecting the speech interval and recognizing continuous speech in a noisy environment through the real-time recognition of call commands measures the reliability of the speech after recognizing the call command, and recognizes the speech from the speaker by transferring the speech interval following the call command to a continuous speech-recognition engine at the moment when the system recognizes the call command.

Abstract: The present invention relates to a continuous speech recognition system that is very robust in a noisy environment. In order to recognize continuous speech smoothly in a noisy environment, the system selects call commands, configures a minimum recognition network in token, which consists of the call commands and mute intervals including noises, recognizes the inputted speech continuously in real time, analyzes the reliability of speech recognition continuously and recognizes the continuous speech from a speaker. When a speaker delivers a call command, the system for detecting the speech interval and recognizing continuous speech in a noisy environment through the real-time recognition of call commands measures the reliability of the speech after recognizing the call command, and recognizes the speech from the speaker by transferring the speech interval following the call command to a continuous speech-recognition engine at the moment when the system recognizes the call command.

Abstract: The present invention relates to a continuous speech recognition system that is very robust in a noisy environment. In order to recognize continuous speech smoothly in a noisy environment, the system selects call commands, configures a minimum recognition network in token, which consists of the call commands and mute intervals including noises, recognizes the inputted speech continuously in real time, analyzes the reliability of speech recognition continuously and recognizes the continuous speech from a speaker. When a speaker delivers a call command, the system for detecting the speech interval and recognizing continuous speech in a noisy environment through the real-time recognition of call commands measures the reliability of the speech after recognizing the call command, and recognizes the speech from the speaker by transferring the speech interval following the call command to a continuous speech-recognition engine at the moment when the system recognizes the call command.