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Computationally Efficient Cepstral Domain Feature Compensation
LIM, Woohyung,HAN, Chang Woo,KIM, Nam Soo The Institute of Electronics, Information and Comm 2009 IEICE transactions on information and systems Vol.92 No.1
<P>In this letter, we propose a novel approach to feature compensation performed in the cepstral domain. Processing in the cepstral domain has the advantage that the spectral correlation among different frequencies is taken into consideration. By introducing a linear approximation with diagonal covariance assumption, we modify the conventional log-spectral domain feature compensation technique to fit to the cepstral domain. The proposed approach shows significant improvements in the AURORA2 speech recognition task.</P>
Feature Compensation Incorporating Modeling Error Statistics
Woohyung Lim,Nam Soo Kim IEEE Signal Processing Society 2007 IEEE signal processing letters Vol.14 No.7
<P>In this letter, we propose a novel approach to feature compensation for robust speech recognition in noisy environments. We analyze the error distribution of speech corruption model in the log spectral domain and represent the statistics as functions with respect to the signal-to-noise ratio. The proposed algorithm incorporates modeling error statistics into the interacting multiple model technique and shows a performance improvement over the AURORA2 speech recognition task.</P>
Cho, Woohyung,Lim, Jongchul,Kim, Tea-Yon,Kim, Young Rae,Song, Donghoon,Park, Taiho,Fabregat-Santiago, Francisco,Bisquert, Juan,Kang, Yong Soo American Chemical Society 2016 JOURNAL OF PHYSICAL CHEMISTRY C - Vol.120 No.5
<P>The origin of the differences between the performance parameters found for dye-sensitized solar cells (DSCs) using liquid and poly(ethylene oxide)-based solid polymer electrolytes has been investigated. Limitations associated with poor polymer electrolyte penetration and ionic diffusion have been analyzed together with other effects such as the dye regeneration rate, the conduction band edge shift, and the electron recombination kinetics occurring in the solid polymer electrolyte. We have found that dye regeneration was faster for sensitized TiO2 films fully wetted with polymer electrolyte than that with liquid cells. This new result was attributed to a 0.2 eV decrease in the dye highest occupied molecular orbital energy yielding to an increase in the driving force for dye regeneration. These understandings may contribute to a further increase in the energy-conversion efficiency of DSCs employing solid polymer electrolyte.</P>
Consideration of digital technology in dental implant treatment
Jang WooHyung,Park Sang-Won,Lim Hyun-Pil,Yun Kwi-Dug,Park Chan 대한치과이식(임프란트)학회 2021 The Korean Academy of Implant Dentistry Vol.40 No.1
Various considerations must be made when planning implant treatments using digital technology. These considerations include total integrated data, implant surgical guide CAD design, and an understanding of 3D printing technology. This paper analyzes these considerations to confirm more accurate and predictable digital technology.
Esthetic restoration using digital techniques in a patient with cleft lip and palate
박루디아,박상원,Hyun-Pil Lim,윤귀덕,박찬,Woohyung Jang 조선대학교 치의학연구원 2021 Oral Biology Research (Oral Biol Res) Vol.45 No.4
The use of prosthetic restorations in patients with cleft lip and palate is limited due to the presence of an imbalanced facial harmony, a narrowing of the nose, and a scar in the upper lip. Additionally, the alignment of the anterior teeth is affected due to the constriction of the maxillary arch. To overcome these limitations, a prosthetic design was implemented via communications between the patient and the dental technicians. Digital techniques were used to diagnose and design the prosthesis via three-dimensional (3D) facial scanning (Bellus 3D facial scan app) and integration of the intraoral scanning data. The patient was satisfied with the esthetic and functional outcome of the treatment.
Feature compensation based on switching linear dynamic model
Kim, Nam Soo,Lim, Woohyung,Stern, R.M. IEEE 2005 IEEE signal processing letters Vol.12 No.6
In this letter, we propose a novel approach to feature compensation for robust speech recognition in noisy environments. We employ the switching linear dynamic model (SLDM) as a parametric model for the clean speech distribution, which enables us to exploit temporal correlations inherent in speech signals. Both the background noise and clean speech components are simultaneously estimated by means of the interacting multiple model (IMM) algorithm.