http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
무선 통신 기능을 갖춘 차량사고 재현 시뮬레이션 시스템 구현
김병창 ( Byeong Chang Kim ) 대구가톨릭대학교 자연과학연구소 2008 자연과학연구논문집 Vol.6 No.1
We implemented a vehicle accident reproduction system that senses and records driving information, transmits the information via wireless communication upon request of users, and simulates driving states. The system records user`s operation on the steering wheel, accelerator and brake, speed of the vehicle, direction of vehicle head, and the number of round for wheel. The system also records location information from GPS module, and pictures from camera. All the data are managed in the form of vehicle driving data table. Upon request of user, the system can transmit the data to a PDA via Bluetooth communication. The PDA displays vehicle driving simulation, outdoor pictures and accident states simulation.
기획특집 (2)_최신 광학기술 동향 - 우주기술에서의 옵토메카트로닉스
김병창,Kim, Byeong-Chang 한국광학기기산업협회 2010 光學世界 Vol.125 No.-
1970년대 중반 일본에서 만들어진 메카트로닉스(Mechatronics)라는 용어는 기계공학(Mechanics)과 전자공학(Electronics)의 합성어로 1980년대 이후 전세계적으로 널리 사용되었다. 이후 컴퓨터 기술의 급속한 발전에 힘입어 메카트로닉스는 로봇, 공장자동화, CNC공작기계 등 현대산업의 근간을 이루는 핵심 기술로 자리매김 하였다. 최근에는 학문의 경계를 허무는 작업들이 더욱 속도를 내고 있는 가운데, 생활에서 늘 접하는 휴대폰, TV, 빔프로젝트 등의 제품에 시각적 신호를 창출하기 위한 광학적 요소가 결합되고 있다. 이를 우리는 옵토메카트로닉스(Optomechatronics)라는 영역으로 분류한다. 여기에 생체공학(Bionics)과 나노기술(Nano technology)의 결합을 필요로 하는 제품들이 또한 바이오옵토메카트로닉스(Bio-Optomechatronics)또는 나노바이오 옵토메카트로닉스(Nano-Bioopmechatronics)등의 새로운 영역 창출을 준비하고 있다.
김승원,이근배,김병창,Kim Seung-Won,Lee Geun-Bae,Kim Byeong-Chang 대한음성학회 2006 말소리 Vol.57 No.-
In this paper, we present a phrase break prediction method using CRF(Conditional Random Fields), which has good performance at classification problems. The phrase break prediction problem was mapped into a classification problem in our research. We trained the CRF using the various linguistic features which was extracted from POS(Part Of Speech) tag, lexicon, length of word, and location of word in the sentences. Combined linguistic features were used in the experiments, and we could collect some linguistic features which generate good performance in the phrase break prediction. From the results of experiments, we can see that the proposed method shows improved performance on previous methods. Additionally, because the linguistic features are independent of each other in our research, the proposed method has higher flexibility than other methods.
고품위 중국어 TTS(Text-to-Speech) 시스템 구축을 위한 자연어 처리 연구
성윤숙(Yoon Suk Seong),김병창(Byeong Chang Kim),정옥(Yu Zheng),이근배(Gary Geun Bae Lee) 언어과학회 2004 언어과학연구 Vol.30 No.-
Overall architecture of the Chinese `TTS system consists of natural language processing module, grapheme-to-phoneme conversion and prosody prediction module, and speech signal synthesis module. POSTAG/C is a system which combines word segmentation module based on rules and a dictionary with a POS tagging module based on HMM (Hidden Markov Model). The word dictionary was automatically acquired by POS tagged corpus and the system has high portability to serve both GB texts as well as Big5 texts. The word segmenting module is composed of two parts. Input Chinese texts go through a pre-segmenting process at first. The pre-segmenting process splits input texts into short phrases using some special characters that are symbols, numbers, foreign language characters, and mono-character words. Next, we segment in more detailed using four heuristic rules. The two-phase unknown word prediction process extracts candidate boundaries where unknown words possibly occur in a sentence at first. Next, we predict the category of the words with these boundaries using an SVM-based method. The method of our grapheme-to-phoneme conversion is a dictionary-based and rules-based hybrid approach. In this process, our module converts the decided Pinyin strings into more natural forms with standard Chinese phonetic rules.
음성합성을 위한 C-ToBI기반의 중국어 운율 경계와 F0 contour 생성
김승원,정옥,이근배,김병창,Kim, Seung-Won,Zheng, Yu,Lee, Gary-Geunbae,Kim, Byeong-Chang 대한음성학회 2005 말소리 Vol.53 No.-
Prosody Generation Based on C-ToBI Representation for Text-to-SpeechSeungwon Kim, Yu Zheng, Gary Geunbae Lee, Byeongchang KimProsody modeling is critical in developing text-to-speech (TTS) systems where speech synthesis is used to automatically generate natural speech. In this paper, we present a prosody generation architecture based on Chinese Tone and Break Index (C-ToBI) representation. ToBI is a multi-tier representation system based on linguistic knowledge to transcribe events in an utterance. The TTS system which adopts ToBI as an intermediate representation is known to exhibit higher flexibility, modularity and domain/task portability compared with the direct prosody generation TTS systems. However, the cost of corpus preparation is very expensive for practical-level performance because the ToBI labeled corpus has been manually constructed by many prosody experts and normally requires a large amount of data for accurate statistical prosody modeling. This paper proposes a new method which transcribes the C-ToBI labels automatically in Chinese speech. We model Chinese prosody generation as a classification problem and apply conditional Maximum Entropy (ME) classification to this problem. We empirically verify the usefulness of various natural language and phonology features to make well-integrated features for ME framework.