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1

디엔에이신원확인정보 데이터베이스 운영을 통한 미제 사건 해결 사례

박지환, 박현철, 안상현, 김양정, 이경룡, 박기원

한국법과학회 한국법과학회지 제14권 제2호 2013.12 pp.64-68

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4,000원

Forensic DNA database is by using the DNA profile of the felonious criminals DNA analysis method, the database collects of the result of analysis. The identification management system (IMS) of the scientific investigation which is particular through the database retrieval is Forensic DNA database if the DNA profile of the detected from the crime scene evidence of many events DNA profile and suspect related to it is secured. Forensic DNA database needs for legislation of Forensic DNA database for identifying possible convicted offenders and suspects for recordable offences. On 25 January 2010, as legislation of ‘Act on the protection and use of DNA identifying information’ in Korea after long days of dispute. The legal guideline has been set up for operation of forensic DNA database. Forensic DNA database operation system made by National Forensic Service(NFS), National Police Agency, and Supreme Prosecutor’s Office. The database of three organizations is connected and administered. In this report, the cases of the event solved through the database administration were presented. Through these cases, we can know that forensic DNA database provide the criminal justice systems with not only an efficient way of crime solving but also prevention of crime.

2

훈련음성 데이터에 적응시킨 필터뱅크 기반의 MFCC 특징파라미터를 이용한 전화음성 연속숫자음의 인식성능 향상에 관한 연구

정성윤, 김민성, 손종목, 배건성, 강점자

[Kisti 연계] 대한음성학회 대한음성학회 학술대회논문집 2003 pp.119-122

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원문보기

In general, triangular shape filters are used in the filter bank when we get the MFCCs from the spectrum of speech signal. In [1], a new feature extraction approach is proposed, which uses specific filter shapes in the filter bank that are obtained from the spectrum of training speech data. In this approach, principal component analysis technique is applied to the spectrum of the training data to get the filter coefficients. In this paper, we carry out speech recognition experiments, using the new approach given in [1], for a large amount of telephone speech data, that is, the telephone speech database of Korean connected digit released by SITEC. Experimental results are discussed with our findings.

 
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