http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
MURASAKI: Web-based Word Sense Description System
Fumito Masui,Yoshifumi Kawamuraand,Jun’ichi Fukumoto,Naoki Isu 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, we propose a method to descriptive a Japanese word sense with associative knowledge. The associative knowledge, which are called as descriptors, are extracted from world wide web(www) by focusing on collocation with comparative structure. For extracting descriptors, the specific comparative expressions with context which was generated with a pair of a query word and each related descriptor are retrieved from www. Some experiments have been conducted and those experimental results showed that the performace of our method overcome the baseline and we regard our method as a promising approach.
Adaptive Noise Reduction Filter for Speech Using Cascaded Sandglass-type Neural Network
Hiroki Yoshimura,Tadaaki Shimizu,Toshie Matumura,Masaya Kimoto,Naoki Isu 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this study, we developed a new adaptive noise reduction filter (CSNNFR: Cascaded Sandglass-type Neural Network Noise Reduction Filter) which is extended from the SNNRF (Sandglass-type Neural Network Noise Reduction Filter). The CSNNRF can perform adaptive noise reduction while capturing dynamic characteristics of the speech signal, owing to the plasticity of the SNN. The CSNNRF is suitable for application to the hearing aid since the ease of hearing the speech signal after noise reduction is more important than the denoising rate. We examined the improvement rate of SN ratio and performed a hearing experiment to evaluate the performance of the CSNNRF as a hearing aid.