• Journal of Korean Philosophical Society
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• v.126
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• pp.109-132
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• 2013

The most important vocabulary in Advaita $Ved{\bar{a}}nta$, which is anthropology and soteriology on the self, is of course '${\bar{a}}tman$' or 'the self', to which '$an{\bar{a}}tman$' or 'the other' is in opposition. As $Ved{\bar{a}}ntic$ system revolves around the concept ${\bar{a}}tman$, it can be compared favorably with 'final vocabulary' of Richard Rorty. Moreover, $Ved{\bar{a}}ntic$ system can be termed as 'a return of self-identity', in which a process of returning is from a deceived self to the true and original self. After all, story of '$an{\bar{a}}tman$' or 'the other' in $Ved{\bar{a}}nta$ seems to have no significance at all. However, discourse about the other can also lead a something fruitful. There are such doctrines in $Ved{\bar{a}}nta$ that support a procedure of self-realization not according to the Hegelian dialectic but to the transposition and continuous antagonism between the self and the other, as a special meaning of viveka (discrimination) that fixes a boundary between the self and the other, a destruction of falsehood that is more important than establishment of truthfulness, a transposition of the true and the false before and after self-realization. Thus the other is not disappeared but only hidden, even after accomplishing its own methodological role, and the same is with discourse about the other. To revive forgotten vocabulary in $Ved{\bar{a}}nta$ is an attempt to reconstruct devaluated story by means of shifting the pivot of discourse from the self to the other. The essential thing in this attempt may be to revive the conceptions of 'effort' that is intently concealed and of 'self-inquiry' that has lost its true meaning. Out of these, a systematic and continuous self-inquiry, consists in having a scenario on the question 'Who am I?' and utilizing that scenario by experience without interruption. A work of reconstructing the lost narratives in $Ved{\bar{a}}nta$ can be feasible only when the history of self-inquiry is redescribed in the system itself, provided that object of inquiry is not 'a self as the self' but 'a self as the other'.

• Korean Institute of Interior Design Journal
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• no.40
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• pp.26-33
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• 2003

Contemporary architecture has two different movements that one is the utilization of digital technology and the other is the inclination to nature. After deconstructivism in architecture, the tendency of design shows the fusion between digitalism and organicism and as a consequence the phenomena of 'skin expression' has emerged which can be thought as 'organic digitalism' or 'digital organicism'. The definition of skin tendency in environmental design is the design of nature based on the technology. As a result, the surface becomes the design issue compared to structure and the momentum for new aesthetic value. There are post-structuralism, complex system theory and the organic architecture as theoretical background for the tendency of skin expression. Specially the ideas of post-structural philosophy has effected deeply to the formation of its movement and also offered the theoretical nutrition for digital architecture. The characteristics of the skin tendency can be analyzed as topological transformation, smooth continuum, deterritorialization, ecological response system, and tactility. These design characteristics has combined with conventional material and design vocabulary to transform and develope new spatial conception.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1291-1295
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• 2004

This paper proposed a new approach for endpoint detection of isolated speech, which proves to significantly improve the endpoint detection performance. The proposed algorithm relies on the root mean square energy (rms energy), zero crossing rate and spectral characteristics of the speech signal where the Euclidean distance measure is adopted using cepstral coefficients to accurately detect the endpoint of isolated speech. The algorithm offers better performance than traditional energy-based algorithm. The vocabulary for the experiment includes English digit from one to nine. These experimental results were conducted by 360 utterances from a male speaker. Experimental results show that the accuracy of the algorithm is quite acceptable. Moreover, the computation overload of this algorithm is low since the cepstral coefficients parameters will be used in feature extraction later of speech recognition procedure.

• ETRI Journal
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• v.32 no.5
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• pp.795-800
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• 2010

Embedding a large vocabulary speech recognition system in mobile devices requires a reduced acoustic model obtained by eliminating redundant model parameters. In conventional optimization methods based on the minimum description length (MDL) criterion, a binary Gaussian tree is built at each state of a hidden Markov model by iteratively finding and merging similar mixture components. An optimal subset of the tree nodes is then selected to generate a downsized acoustic model. To obtain a better binary Gaussian tree by improving the process of finding the most similar Gaussian components, this paper proposes a new distance measure that exploits the difference in likelihood values for cases before and after two components are combined. The mixture weight of Gaussian components is also introduced in the component merging step. Experimental results show that the proposed method outperforms MDL-based optimization using either a Kullback-Leibler (KL) divergence or weighted KL divergence measure. The proposed method could also reduce the acoustic model size by 50% with less than a 1.5% increase in error rate compared to a baseline system.

• MALSORI
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• no.67
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• pp.103-120
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• 2008

Basic components for multimodal interface, such as speech recognition, speech synthesis, gesture recognition, and multimodal fusion, have their own technological limitations. For example, the accuracy of speech recognition decreases for large vocabulary and in noisy environments. In spite of those technological limitations, there are lots of applications in which speech-oriented multimodal user interfaces are very helpful to users. However, in order to expand application areas for speech-oriented multimodal interfaces, we have to develop the interfaces focused on usability. In this paper, we introduce usability and user-centered design methodology in general. There has been much work for evaluating spoken dialogue systems. We give a summary for PARADISE (PARAdigm for Dialogue System Evaluation) and PROMISE (PROcedure for Multimodal Interactive System Evaluation) that are the generalized evaluation frameworks for voice and multimodal user interfaces. Then, we present usability components for speech-oriented multimodal user interfaces and usability testing guidelines that can be used in a user-centered multimodal interface design process.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2E
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• pp.66-71
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• 2009

In practical applications of speech recognition, one of the fundamental questions might be on the number of training data that should be provided for a specific task. Though plenty of training data would undoubtedly enhance the system performance, we are then faced with the problem of heavy cost. Therefore, it is of crucial importance to determine the least number of training data that will afford a certain level of accuracy. For this purpose, we investigate the effect of the number of training data on the speaker-independent speech recognition of isolated words by using FVQ/HMM. The result showed that the error rate is roughly inversely proportional to the number of training data and grows linearly with the vocabulary size.

• The Research Journal of the Costume Culture
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• v.2 no.2
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• pp.317-335
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• 1994

The purpose of this thesis is to analyze the relation of the mentalistics linguistics and costume, and to clarify the relationship between language as psychological expressions and costume to understand the phenomena of human costume behavior more deeply and comprehensively. As for the analysis of he costume phenomena, Noam Chomsky's psychological linguistic theory were applied to costume system. In this respect, particularly, by means of Chomsky's later theory(1965), the costume behavior were analyzed. The followings are the findings of the analysis : 1. The Syntactic Component: (※ See Full-Text) 2. The Semantic Component. The costme behavior is similar to a language system. Just as one morpheme or a phrase and phrases make different sentences, so various methods wearing costume make different sentences, so various methods wearing costume make different forms is costume. Language and costume have dictionary entry showing the meaning of vocabulary, and rules combining the individual meaning of the dictionary entry to complete the sentence.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.410-421
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• 2016

In this paper, we propose a framework that attempts to incorporate landmarks into a segment-based Mandarin speech recognition system. In this method, landmarks provide boundary information and phonetic class information, and the information is used to direct the decoding process. To prove the validity of this method, two kinds of landmarks that can be reliably detected are used to direct the decoding process of a segment model (SM) based Mandarin LVCSR (large vocabulary continuous speech recognition) system. The results of our experiment show that about 30% decoding time can be saved without an obvious decrease in recognition accuracy. Thus, the potential of our method is demonstrated.

• The Journal of the Acoustical Society of Korea
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• v.28 no.8
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• pp.832-842
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• 2009

Automatic speech recognition (ASR) has been successfully applied to many real human computer interaction (HCI) applications; however, its performance tends to be significantly decreased under noisy environments. The invention of audio visual speech recognition (AVSR) using an acoustic signal and lip motion has recently attracted more attention due to its noise-robustness characteristic. In this paper, we describe our novel integration scheme for AVSR based on a late integration approach. Firstly, we introduce the robust reliability measurement for audio and visual modalities using model based information and signal based information. The model based sources measure the confusability of vocabulary while the signal is used to estimate the noise level. Secondly, the output probabilities of audio and visual speech recognizers are normalized respectively before applying the final integration step using normalized output space and estimated weights. We evaluate the performance of our proposed method via Korean isolated word recognition system. The experimental results demonstrate the effectiveness and feasibility of our proposed system compared to the conventional systems.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.388-396
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• 2016

Through the correspondence works with international electrotechnical vocabulary(IEV) in the smart grid field and power information technology field, we analyzed cases for discussion of terms and definitions in the IEV and then proposed an advanced procedure and computing system for standardization of International Electronical Committee(IEC) terminologies. The standardization procedure consists of processes for existing terminology, new terminology and correspondent terminology which have different structures. An example of the standardization work of correspondent terminology is given. The standardization computing system are based on the process for terminology extraction, terminology verification and terminology management which could provide the Wikipedia type terminology search function. In order to prevent that there exist multiple terminologies in IEV, the database search system is needed to be developed. We proposed the 'IEV_Term_Search' program which is the database search system. Terminology standardization of different technical committees(TC) and completion of the IEV to promote cooperation between TC 1 and the TCs must be followed by revision and standardization using the standardization computing system.