• Journal of the Korean Society for Railway
• /
• v.14 no.2
• /
• pp.130-136
• /
• 2011

This paper suggests realization method for real-time speech recognition using VoiceXML in telephony environment based on SIP for Railroad Reservation Service. In this method, voice signal incoming through PSTN or Internet is treated as dialog using VoiceXML and the transferred voice signal is processed by Speech Recognition System, and the output is returned to dialog of VoiceXML which is transferred to users. VASR system is constituted of dialog server which processes dialog, APP server for processing voice signal, and Speech Recognition System to process speech recognition. This realizes transfer method to Speech Recognition System in which voice signal is recorded using Record Tag function of VoiceXML to process voice signal in telephony environment and it is played in real time.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.630-632
• /
• 2023

어텐션 메커니즘은 딥 뉴럴네트워크에 결합하여 언어 생성 모델에서 성능을 개선하였고, 이러한 성공은 다양한 신호처리 분야에 응용 및 확장되고 있다. 특정 입력 신호 부분에 선택적으로 집중함으로써, 어텐션 모델은 음성 인식, 이미지와 비디오 처리, 그리고 생체인식 등의 분야에서 더 높은 성능을 보여주고 있다. 어텐션 기반 모델은 심전도 신호를 이용한 개인식별 및 부정맥검출, 뇌파도 신호를 이용한 발작유형분류 및 수면 단계 분류, 근전도 신호를 이용한 제스처 인식 등에 사용되고 있다. 어텐션 메커니즘은 딥 뉴럴네트워크의 해석 가능성과 설명 가능성을 향상시키기 위해 사용되기도 한다. 신호 처리 분야에서의 어텐션 모델 연구는 지속적으로 진행 중이며, 다른 분야에서의 잠재력 탐구에 대한 관심이 높아지고 있다. 따라서 본 논문은 어텐션 메카니즘을 이용한 생체신호처리 연구 동향 분석을 수행한다.

• Proceedings of the Korean Nuclear Society Conference
• /
• 1997.10a
• /
• pp.233-238
• /
• 1997

위그너분포(Wigner Distribution)를 이용하여 진동신호를 분석하고, 신경회로망을 이용하여 온라인으로 진동발생에 따른 냉각재펌프의 이상상태를 진단하고자 하였다. 진동신호 분석을 위하여 현재 정상 가동중인 원전 냉각재펌프의 진동신호와 Rotor Kit으로부터 이상상태에 대한 모의신호를 추출하였다. 본 연구에서 진동신호 분석을 위하여 시간 및 주파수성분을 동시에 표현가능한 위그너분포 이론을 적용하므로써 기존의 시간 및 주파수성분을 별도로 표현하던 방법보다 신호분석이 용이함을 확인하였으며, 이 신호분석 결과를 바탕으로 역전파 신경회로망의 패턴인식 및 분류 특징을 이용한 진단결과는 실험데이타 량에 비추어 만족할 만한 인식률을 보였다.

• Journal of Korea Multimedia Society
• /
• v.10 no.4
• /
• pp.548-558
• /
• 2007

This paper presents a method of location sensing of mobile objects using RF devices. By analyzing signal strengths between a certain number of fixed RF devices and a moving RF device, we can recognize the location of a moving object in real time. Firstly, signal strength values between RF devices are gathered, and then the values are normalized and constructed as a model feature vector for specific location. A number of model patterns are acquired and registered for all of the location which we want to recognize. For location sensing, signal strength information for an arbitrary moving RF device is acquired and compared with model feature vectors registered previously. In this case, distance value is calculated and the moving RF device is classified as one of the known model patterns. Experimental results show that our methods have performed the location sensing successfully with 100% rate of recognition when the number of fixed RF devices is 10 or more than 12. In terms of cost and applicability, experimental results seem to be very encouraging.

• The Journal of the Acoustical Society of Korea
• /
• v.8 no.4
• /
• pp.65-73
• /
• 1989

In this paper, we propose a text-independent speaker identification algorithm based on VQ(vector quantization) and vowel classification, and its performance is studied and compared with that of a conventional speaker identification algorithm using VQ. The proposed speaker identification algorithm is composed of three processes: vowel segmentation, vowel recognition and average distortion calculation. The vowel segmentation is performed automatlcally using RMS energy, BTR(Back-to-Total cavity volume Ratio)and SFBR(Signed Front-to-Back maximum area Ratio) extracted from input speech signal. If the Input speech signal Is noisy, particularity when the SNR is around 20dB, the proposed speaker identification algorithm performs better than the reference speaker identification algorithm when the correct vowel segmentation is done. The same result is obtained when we use the noisy telephone speech signal as an input, too.

• The Journal of the Acoustical Society of Korea
• /
• v.23 no.8
• /
• pp.597-601
• /
• 2004

This paper introduces a pre-rejection technique for wireless channel distorted speech with application to automatic speech recognition (ASR) Based on analysis of distorted speech signals over a wireless communication channel. we propose a method to reject the channel distorted speech with a small computational load. From a number of simulation results. we can discover that tile pre-rejection algorithm enhances the robustness of speech recognition operation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.457-459
• /
• 2018

화자인식 기술은 주어진 임의의 두 발화로부터 발화자의 일치 여부를 판단하여 등록된 화자의 목록으로부터 임의로 입력된 발화의 발화자를 식별하는 기술이다. 그러나, 배경잡음이나 반향이 존재하는 경우에는 음성신호가 왜곡되어 화자인식 성능이 저하될 수 있기 때문에 별도의 음성신호 전처리 알고리즘을 함께 사용할 수 있다. 본 논문에서는 배경잡음이 존재하는 환경에서 다수의 마이크로폰을 통해 수집한 음성신호에 대해 화자인식을 수행하는 방법으로써 parametric multi-channel Wiener filter (PMWF)를 이용한 화자일치 점수 앙상블 기법을 제안한다. 입력신호의 신호대잡음비를 기준으로 점수 결합 시 사용되는 결합계수를 정하고, Wiener filter 로 잡음을 제거하여 얻은 점수와 minimum variance distortionless response (MVDR) 빔포머를 통해 잡음을 제거하여 얻은 정수를 가중결합하는 방식으로 동일오류율을 측정한 결과, 각 전처리 알고리즘을 독립적으로 사용하여 점수를 계산한 경우보다 우수한 성능을 보임을 확인할 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.8
• /
• pp.260-267
• /
• 2018

Surface electromyography (sEMG) is mainly used as an on/off switch in the early stage of the study and was then expanded to navigational control of powered-wheelchairs and recognition of sign language or finger gestures. There are difficulties in communication between people who know and do not know sign language; therefore, many efforts have been made to recognize sign language or finger gestures. Recently, use of sEMG signals to recognize sign language signals have been investigated; however, most studies of this topic conducted to date have focused on Chinese finger number gestures. Since sign language and finger gestures vary among regions, Korean- and Chinese-finger number gestures differ from each other. Accordingly, the recognition performance of Korean finger number gestures based on sEMG signals can be severely degraded if the same muscles are specified as for Chinese finger number gestures. However, few studies of Korean finger number gestures based on sEMG signals have been conducted. Thus, this study was conducted to identify potential forearm muscles from which to collect sEMG signals for Korean finger number gestures. To accomplish this, six Korean finger number gestures from number zero to five were investigated to determine the usefulness of the proposed muscles and electrode placements by showing that CNN technique based on sEMG signal after sufficient learning recognizes six Korean finger number gestures in accuracy of 100%.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.45 no.5
• /
• pp.38-47
• /
• 2008

The most commonly used location recognition system is the GPS-based approach. However, the GPS is inefficient for an indoor or urban area where high buildings shield the satellite signals. To overcome this problem, this paper propose the indoor positioning method using wavelet and neural network. The basic idea of proposed method is estimated the location using the received signal strength from wireless APs installed in the indoor environment. Because of the received signal strength of wireless radio signal is fluctuated by the environment factors, a feature that is strength of signal noise and error and express the time and frequency domain is need. Therefore, this paper is used the wavelet coefficient as the feature. And the neural network is used for estimate the location. The experiment results indicate 94.6% an location recognition rate.

• Journal of KIISE:Information Networking
• /
• v.36 no.4
• /
• pp.330-338
• /
• 2009

Various applications based on the location information of things are developed as entering by the ubiquitous computing age. Wireless sensor networks are suitable to indoor location-based service because of the important features such as low-power consumption, low-cost, easy deployment, etc. To recognize the distance between nodes, the indoor location-based system transmits both ultrasound signal and radio signal periodically. However, increment of the number of deployed sensor nodes make lots of collision and interference among the signals and it can degrade the accuracy of location-based system. In this paper, we propose a beacon management mechanism to increase the probability of transmission chance to the nearest beacon from the listener. It can minimize collision and interference and reduce the error probability due to the characteristics of ultrasound.