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Automatic Music Summarization Using Similarity Measure Based on Multi-Level Vector Quantization
김성탁,김상호,김회린,Kim, Sung-Tak,Kim, Sang-Ho,Kim, Hoi-Rin The Acoustical Society of Korea 2007 韓國音響學會誌 Vol.26 No.e2
Music summarization refers to a technique which automatically extracts the most important and representative segments in music content. In this paper, we propose and evaluate a technique which provides the repeated part in music content as music summary. For extracting a repeated segment in music content, the proposed algorithm uses the weighted sum of similarity measures based on multi-level vector quantization for fixed-length summary or optimal-length summary. For similarity measures, count-based similarity measure and distance-based similarity measure are proposed. The number of the same codeword and the Mahalanobis distance of features which have same codeword at the same position in segments are used for count-based and distance-based similarity measure, respectively. Fixed-length music summary is evaluated by measuring the overlapping ratio between hand-made repeated parts and automatically generated ones. Optimal-length music summary is evaluated by calculating how much automatically generated music summary includes repeated parts of the music content. From experiments we observed that optimal-length summary could capture the repeated parts in music content more effectively in terms of summary length than fixed-length summary.
김성탁,지미경,김회린,Kim, Sung-Tak,Ji, Mi-Kyong,Kim, Hoi-Rin 한국음향학회 2009 韓國音響學會誌 Vol.28 No.3
Speaker verification determines whether the claimed speaker is accepted based on the score of the test utterance. In recent years, methods based on Gaussian mixture models and universal background model have been the dominant approaches for text-independent speaker verification. These speaker verification systems based on these methods provide very good performance under laboratory conditions. However, in real situations, the performance of speaker verification system is degraded dramatically. For overcoming this performance degradation, the feature recombination method was proposed, but this method had a drawback that whole sub-band feature vectors are used to compute the likelihood scores. To deal with this drawback, a modified feature recombination method which can use each sub-band likelihood score independently was proposed in our previous research. In this paper, we propose a sub-band weighting method based on sub-band signal-to-noise ratio which is combined with previously proposed modified feature recombination. This proposed method reduces errors by 28% compared with the conventional feature recombination method. 화자검증은 발성화자가 제시화자 (claimed speaker)인지 아닌지를 구별하는 것이다. 기존의 화자검증 시스템인 GMM-UBM 방식의 화자검증 시스템은 무잡음 환경에서는 높은 검증성능을 보이지만, 잡음환경에서는 성능이 급격히 떨어지는 단점이 있다. 이런 단점을 극복하기 위해 멀티밴드를 이용한 방법인 특징벡터 재결합방법이 제안되었지만, 특징벡터 재결합방법은 전체 서브밴드 특징벡터들을 사용하여 유사도를 계산하는 단점이 있다. 이런 단점을 극복하기 위해 기 발표된 이전 논문에서 각 서브밴드 유사도를 독립적으로 계산하는 변형된 특징벡터 재결합방법을 제안하였고, 본 논문에서는 변형된 특징벡터 재결합방법과 각 서브밴드들의 신뢰도를 나타내는 신호 대 잡음비를 이용한 가중치를 이용하여 잡음환경에서 기존의 특징벡터 재결합방법에 비해 에러를 28% 감소시켰다.
신뢰성 높은 서브밴드 특징벡터 선택을 이용한 잡음에 강인한 화자검증
김성탁,지미경,김회린,Kim, Sung-Tak,Ji, Mi-Kyong,Kim, Hoi-Rin 대한음성학회 2007 말소리 Vol.63 No.-
Recently, many techniques have been proposed to improve the noise robustness for speaker verification. In this paper, we consider the feature recombination technique in multi-band approach. In the conventional feature recombination for speaker verification, to compute the likelihoods of speaker models or universal background model, whole feature components are used. This computation method is not effective in a view point of multi-band approach. To deal with non-effectiveness of the conventional feature recombination technique, we introduce a subband likelihood computation, and propose a modified feature recombination using subband likelihoods. In decision step of speaker verification system in noise environments, a few very low likelihood scores of a speaker model or universal background model cause speaker verification system to make wrong decision. To overcome this problem, a reliable feature selection method is proposed. The low likelihood scores of unreliable feature are substituted by likelihood scores of the adaptive noise model. In here, this adaptive noise model is estimated by maximum a posteriori adaptation technique using noise features directly obtained from noisy test speech. The proposed method using subband-based reliable feature selection obtains better performance than conventional feature recombination system. The error reduction rate is more than 31 % compared with the feature recombination-based speaker verification system.
N-type rear local emitter 태양전지의 시뮬레이션을 통한 구조 설계 및 제조
김수민(Kim, Soo Min),배수현(Bae, Su Hyun),김성탁(Kim, Seong Tak),김현호(Kim, Hyun Ho),박효민(Park, Hyo Min),김영도(Kim, Young Do),박성은(Park, Sungeun),탁성주(Tark, Sung Ju),김동환(Kim, Donghwan) 한국신재생에너지학회 2011 한국신재생에너지학회 학술대회논문집 Vol.2011 No.05
현재 상용으로 많이 사용되는 p-type 태양전지는 Dopant로 사용된 Boron이 O₂와 결합하면서 Light induced degradation이 발생하여 태양 전지 효율의 감소를 불러일으키는 단점이 있다. 이러한 문제를 해결하기 위하여 여러 가지 방법들이 제시되었는데 일반적으로 n-type wafer를 이용함으로써 Light induced degradation을 해결하는 방법이 주로 사용된다. n-type 태양전지를 제조함에 있어서 보다 높은 효율을 달성하기 위하여 태양전지 후면 구조에 local contact 개념을 도입하여 rear local emitter를 형성함으로써 전체적인 효율 증가를 도모하였다. 이러한 local contact을 제조하기 위해서는 전기적으로 구조적으로 고려할 사항들이 여러 가지 존재한다. 따라서 우리는 이러한 고려 사항들을 실험적인 방법으로 결정하는 것이 아니라, 정교한 변수 통제를 이용한 시뮬레이션으로 최종적인 효율 상승을 가져오는 조건을 찾으려고 한다. 이때 사용될 수 있는 시뮬레이션은 여러 가지 종류가 존재하는데 우선 상용 태양전지의 해석에 가장 많이 사용되는 PC1D프로그램이 있다. 그러나 PC1D의 경우에는 1차원의 해석만 가능하기 때문에 local contact의 2차원 이상의 구조 변화에 따른 최종적인 효율을 계산하는데 무리가 따르게 된다. 따라서 2차원 이상의 형상에 대한 분석이 가능한 프로그램을 이용하여 실제 셀에서 일어나는 현상을 더 정밀하게 모사함으로써 local contact에서 일어나는 전기적, 구조적 변화가 최종적인 효율에 어떻게 영향을 미치는지를 파악해볼 것이며, 어떤 구조를 선택하였을 때 가장 높은 효율을 달성할 수 있는지 알아보려고 한다.
후면 형상에 따른 결정질 실리콘 태양전지의 후면전계 형성 및 특성
김현호,김성탁,박성은,송주용,김영도,탁성주,권순우,윤세왕,손창식,김동환,Kim, Hyun-Ho,Kim, Seong-Tak,Park, Sung-Eun,Song, Joo-Yong,Kim, Young-Do,Tark, Sung-Ju,Kwon, Soon-Woo,Yoon, Se-Wang,Son, Chang-Sik,Kim, Dong-Hwan 한국재료학회 2011 한국재료학회지 Vol.21 No.5
To reduce manufacturing costs of crystalline silicon solar cells, silicon wafers have become thinner. In relation to this, the properties of the aluminium-back surface field (Al-BSF) are considered an important factor in solar cell performance. Generally, screen-printing and a rapid thermal process (RTP) are utilized together to form the Al-BSF. This study evaluates Al-BSF formation on a (111) textured back surface compared with a (100) flat back surface with variation of ramp up rates from 18 to $89^{\circ}C$/s for the RTP annealing conditions. To make different back surface morphologies, one side texturing using a silicon nitride film and double side texturing were carried out. After aluminium screen-printing, Al-BSF formed according to the RTP annealing conditions. A metal etching process in hydrochloric acid solution was carried out to assess the quality of Al-BSF. Saturation currents were calculated by using quasi-steady-state photoconductance. The surface morphologies observed by scanning electron microscopy and a non-contacting optical profiler. Also, sheet resistances and bulk carrier concentration were measured by a 4-point probe and hall measurement system. From the results, a faster ramp up during Al-BSF formation yielded better quality than a slower ramp up process due to temperature uniformity of silicon and the aluminium surface. Also, in the Al-BSF formation process, the (111) textured back surface is significantly affected by the ramp up rates compared with the (100) flat back surface.