• 한국항해항만학회지
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• 제35권7호
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• pp.551-556
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• 2011

In this paper new enhanced post-process predicting the speaker's intention was suggested to implement the real-time control module for ship's autopilot using speech recognition algorithm. The parameter was developed to predict the likeliest wheel order based on the previous order and expected to increase the recognition rate more than pre-recognition process depending on the universal speech recognition algorithms. The values of parameter were assessed by five certified deck officers being good at conning vessel. And the entire wheel order recognition process were programmed to TMS320C5416 DSP so that the system could recognize the speaker's orders and control the autopilot in real-time. We conducted some experiments to verify the usefulness of suggested module. As a result, we have confirmed that the post-recognition process module could make good enough accuracy in recognition capabilities to realize the autopilot being operated by the speech recognition system.

• 전자공학회논문지C
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• 제35C권8호
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• pp.60-67
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• 1998

We studied the effects of fractional fourier transform in face recognition, in which only the amplitude spectra of transformed facial images were used.We used two recently developed face recognition methods, the most effective feature (MEF) method (i.e., eigenface method) and most discriminating feature (MDF) method, and the effects of th etransform for th etwo methods were consistent. We confirmed that the recognition rate by the use of MDF method is better than that consistent. We confirmed that the recognition rate by the use of MDF method is better than that by MEF regardless of the order to transform, these methods provided slightly better results when the order was 1 than for any other order values. Only when the order was close to 1, the recognition rates were robust to the shift of the input images, and the trend that the recognition rates decreased as the input size varied was independent of the order. From these results, we fond that it is most advantageous to use the amplitude spectra of the conventional fourier transform whose order is 1.

• The Journal of the Acoustical Society of Korea
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• 제17권2E호
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• pp.26-30
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• 1998

In this paper, we compose neural network predictive HMM(NNPHMM) to provide the dynamic feature of the speech pattern for the HMM. The NNPHMM is the hybrid network of neura network and the HMM. The NNPHMM trained to predict the future vector, varies each time. It is used instead of the mean vector in the HMM. In the experiment, we compared the recognition abilities of the one hundred Korean syllables according to the variation of hidden layer, state number and prediction orders of the NNPHMM. The hidden layer of NNPHMM increased from 10 dimensions to 30 dimensions, the state number increased from 4 to 6 and the prediction orders increased from 10 dimensions to 30 dimension, the state number increased from 4 to 6 and the prediction orders increased from the second oder to the fourth order. The NNPHMM in the experiment is composed of multi-layer perceptron with one hidden layer and CMHMM. As a result of the experiment, the case of prediction order is the second, the average recognition rate increased 3.5% when the state number is changed from 4 to 5. The case of prediction order is the third, the recognition rate increased 4.0%, and the case of prediction order is fourth, the recognition rate increased 3.2%. But the recognition rate decreased when the state number is changed from 5 to 6.

• 대한음성학회지:말소리
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• 제54호
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• pp.63-72
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• 2005

The performance of speech recognition system is degraded by the mismatch between training and test environments. Many studies have been presented to compensate for noise components in the cepstral domain. Recently, higher order cepstral moment normalization method has been introduced to improve recognition accuracy. In this paper, we present real-time high order moment normalization method with post-processing smoothing filter to reduce the parameter estimation error in higher order moment computation. In experiments using Aurora2 database, we obtained error rate reduction of 44.7% with proposed algorithm in comparison with baseline system.

• 산업융합연구
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• 제13권3호
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• pp.11-25
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• 2015

The purpose of this study is to find out the security guard of the destination and type of terrorism, surveillance, and identification / carried out in order to identify the recognition site the ability to respond to terrorism prevention measures, safety measures on terror. Analysis was conducted by the survey research through the literature for recognition of terrorism in order to derive the measured variables for the general recognition of the guards, pay security guard 300 patients.

• Journal of Advanced Marine Engineering and Technology
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• 제32권5호
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• pp.791-797
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• 2008

The officer of the deck(OOD) may sometimes have to carry out lookout as well as handling of auto pilot without a quartermaster at sea. The purpose of this paper is to develop the ship's auto pilot control module using speech recognition in order to reduce the potential risk of one man bridge system. The feature parameters predicting the OOD's intention was extracted from the sample wheel orders written in SMCP(IMO Standard Marine Communication Phrases). We designed a pre-recognition procedure which could make some candidate words using DTW(Dynamic Time Warping) algorithm, a post-recognition procedure which made a final decision from the candidate words using the feature parameters. To evaluate the effectiveness of these procedures the experiment was conducted with 500 wheel orders.

• 대한안전경영과학회지
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• 제16권3호
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• pp.133-143
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• 2014

The purpose of this article is to search stakeholders' recognition related to Fire Construction Surveillance system; a client(order), fire fighting officer, supervision company, construction company, design company, other. The paper provides 4 important things. Firstly, a client(order) suggested the lowest recognition in the needs about the need of separation order, that of contract for any construction work limited registered companies, and that of standard price for engineering.. Secondly, the design company is lowest recognition in guidance and control participating in construction-design phase. Thirdly, the design company is lowest in adjustment about manpower-allocation according to allocation criteria of technical manpower. Fourthly, a client(order) and supervision company are relatively lower than other stakeholder in necessity on special education and training system for auditor in fire protection construction. Almost all related matters are related to more or less stakeholders' interest.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권6호
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• pp.418-423
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• 2015

기술 발전에 따른 착용형 단말의 기능들은 더 다양하고 복잡해지고 있다. 복잡한 기능 때문에 일반 사용자들도 기능을 사용하기 힘든 경우가 있다. 본 논문에서는 사용자에게 편리하고 간단한 인터페이스 방식을 제공하자는데 목적을 두고 있다. 음성 인식의 경우 사용자 입장에서 직관적이고 사용하기 편리할 뿐만 아니라 다양한 명령어를 입력할 수 있다. 하지만 음성 인식을 착용형 단말에서 사용할 경우 컴퓨팅 파워라든지 소모전력 등 하드웨어적인 제약이 있다. 또한 착용형 단말은 언제 사용자가 음성으로 명령을 내릴지 그 시점을 알 수가 없다. 따라서 명령을 입력 받기 위해서는 음성 인식이 항상 동작하여야 한다. 하지만 소모전력 문제 때문에 이와 같은 방법을 사용하기에는 무리가 있다. 음성 인식이 가지고 있는 문제점을 보완하기 위해 제스처 인식을 사용한다. 본 논문에서는 음성과 제스처를 혼합한 멀티 모달 인터페이스로 사용자에게 어떻게 편리한 인터페이스를 제공할 것인지에 대해 설명하고 있다.

• 한국지능시스템학회논문지
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• 제14권2호
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• pp.201-206
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• 2004

This study attempted to develop a speech recognition module applied to a wheelchair for the physically handicapped. In the proposed speech recognition module, TMS320C32 was used as a main processor and Mel-Cepstrum 12 Order was applied to the pro-processor step to increase the recognition rate in a noisy environment. DTW (Dynamic Time Warping) was used and proven to be excellent output for the speaker-dependent recognition part. In order to utilize this algorithm more effectively, the reference data was compressed to 1/12 using vector quantization so as to decrease memory. In this paper, the necessary diverse technology (End-point detection, DMA processing, etc.) was managed so as to utilize the speech recognition system in real time

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.667-670
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• 1999

As the number of reference patterns increase in the text dependant speaker recognition, the recognition performance of the system degrades. So, if reference patterns were decreased the high recognition rate can be obtained. It’s because the speaker recognition can obtain the high discrimination. In this paper, to decrease the number of reference patterns, we choose candidate reference patterns to perform pattern matching with test pattern by high order component of the reflection coefficients of the uttered speech signal Consequently the total recognition rate of the proposed method is about 2% higher than that of the conventional method.