http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Group Delay를 이용한 GMM기반의 성별 인식 알고리즘
이계환,임우형,김남수,장준혁,Lee, Kye-Hwan,Lim, Woo-Hyung,Kim, Nam-Soo,Chang, Joon-Hyuk 한국음향학회 2007 韓國音響學會誌 Vol.26 No.6
본 논문은 Group Delay(GD)를 이용한 음성신호 기반의 효과적인 성별인식 시스템을 제안한다. 일반적인 음성 인식과 관련된 시스템에서 사용되는 특징들은 위상에 관한 정보를 제거한 크기만의 정보를 이용하여 구성한다. 본 연구에서는 위상에 관한 정보를 토대로 유도되어 지는 GD의 성별에 따른 특징을 알아보고, 보다 향상된 성별인식을 위해 MFCC(Mel-frequency cepstral coefficient), LPC(linear predictive coding) 계수, 반사계수(reflection coefficient) 그리고 포만트(formant)등과 같은 크기 정보와 GD를 이용한 결합 특징 벡터를 적용하였다. 실험을 통해 성별에 따른 GD의 특징을 확인할 수 있었고, 이를 이용한 제안된 특징 벡터를 사용했을 때 우수한 인식 성능을 얻을 수 있었다. We propose an effective voice-based gender identification using group delay(GD) Generally, features for speech recognition are composed of magnitude information rather than phase information. In our approach, we address a difference between male and female for GD which is a derivative of the Fourier transform phase. Also, we propose a novel way to incorporate the features fusion scheme based on a combination of GD and magnitude information such as mel-frequency cepstral coefficients(MFCC), linear predictive coding (LPC) coefficients, reflection coefficients and formant. The experimental results indicate that GD is effective in discriminating gender and the performance is significantly improved when the proposed feature fusion technique is applied.
벼 담수직파재배시 Iprobenfos-metconazole(IPM) 처리에 따른 생육과 도복경감효과
이계환,최봉수,박종현,우선희,이철원 韓國作物學會 2013 한국작물학회지 Vol.58 No.4
Lodging in the direct seeded rice cultivation on flooded paddy is being severe problem due to the lower production and grain quality at ripening stage. This study was conducted to examine the effect of Iprobenfos-metconazole (IPM) treated 50, 40 and 30 days before heading respectively as a plant regulator to reduce the lodging at ripening stage of direct seeding rice cultivation. The culm length treated with IPM, especially the 4th culm internode, was shortened more than with untreated plot, and the most effective time was at 30 days before heading. At 20 days after heading the flag leaves colour showed more greening than in the untreated leaves and the plot with IPM treatment was to be maintained longer compared to the control plot. The Nitrogen concentration of leaves with IPM was lower than in the control plot, and SiO2 contents were higher than in the untreated plot and SiO2/N ratio was increased more in the IPM plot than in the control plot. The breaking strength of 3rd and 4th culm internode with IPM treatment was higher than in the untreated plot, and the lodging index was reduced in the IPM plot significantly and the field lodging also was reduced. As the results the rice production in the IPM plot was increased more due to be higher ripening ratio and seed grain weight compared to the untreated plot to be occurred the field lodging.
음성신호 기반의 성별인식을 위한 Support Vector Machines의 적용
이계환,강상익,김덕환,장준혁,Lee, Kye-Hwan,Kang, Sang-Ick,Kim, Deok-Hwan,Chang, Joon-Hyuk 한국음향학회 2007 韓國音響學會誌 Vol.26 No.2
본 논문은 SVM(Support Vector Machines)을 이용한 음성신호 기반의 효과적인 성별인식 시스템을 제안한다. 분별적 이진(binary) 패턴 분류기인 SVM은 특징 공간에서 비선형 경계를 찾아 분류하는 방법으로 우수한 성능을 보인다고 알려져 있다. 연구에서는 기존의 성별인식에서 널리 쓰이고 있는 MFCC(Mel Frequency Cepstral Coefficients)를 사용하여 SVM과 기존의 GMM(Gaussian Mixture Model) 알고리즘의 성별인식 성능을 비교하였고, 특히, 보다 향상된 SVM의 성별인식을 위해 MFCC와 Pitch를 이용한 결합 특징 벡터를 적용하였다. 실험결과 MFCC 파라미터를 사용했을 때 제안된 SVM이 GMM보다 우수한 성별인식 성능을 보였고, 제안된 결합 특징 벡터를 사용 했을 때 우수한 성능을 보였다. We propose an effective voice-based gender identification method using a support vector machine(SVM). The SVM is a binary classification algorithm that classifies two groups by finding the voluntary nonlinear boundary in a feature space and is known to yield high classification performance. In the present work, we compare the identification performance of the SVM with that of a Gaussian mixture model(GMM) using the mel frequency cepstral coefficients(MFCC). A novel means of incorporating a features fusion scheme based on a combination of the MFCC and pitch is proposed with the aim of improving the performance of gender identification using the SVM. Experiment results indicate that the gender identification performance using the SVM is significantly better than that of the GMM. Moreover, the performance is substantially improved when the proposed features fusion technique is applied.
TINA 체계의 망관리를 위한 Generic Interface Adaptor의 설계 및 구현
이계환,김영탁 한국통신학회 2001 韓國通信學會論文誌 Vol.26 No.10
본 논문에서는 CORBA(Common Object Request Architecture)기반의 TINA(Telecommunications Information Networking Architecture) 분산체계에서 통신망 하부 장비들이 SNMP(Simple Network Management Protocol) 혹은 TMN(Telecommunications Management Network) 체계로 혼재되어 관리되는 네트워크의 NE(Network Element)들을 효율적으로 통합 관리할 수 있는 Generic Interface Adaptor(GIA)를 제안하고 이를 설계 및 구현하였다. GIA는 message mapping, protocol conversion 및 DBMS를 이용한 Object Abstract Translation(OAT)을 통해서 각 관리체계에 맞도록 관리정보를 변환시키며, 이를 통해 TINA EML(Element Management Layer) component와 SNMP NE agent 간의 상호연동을 가능하게 한다.