• 한국정보통신학회논문지
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• 제25권4호
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• pp.595-602
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• 2021

우리나라의 경우, 중소형선박에 의한 해양사고의 발생 비중이 상대적으로 매우 높으며, 통계에 따르면 각종 안전지원 장비의 탑재 의무화에도 불구하고 크게 감소되지 않고 있는 실정이다. 본 논문에서는 대형선박에 비해 상대적으로 탑재 장비가 적은 중소형 선박을 위한 음성합성 기반 자동 안전항해 지원 서비스 제공 시스템의 아키텍처를 제안한다. 시스템의 주목적은 주변 선박들에게 VHF 무전기를 통해 합성된 음성 안전 메시지를 자동으로 제공하여 해양사고를 예방하는 것이다. 안전항해 지원 서비스는 GPS 및 AIS를 연계하여 음성 안전 지원 메시지를 합성하고, VHF를 통하여 자동으로 방송해주는 형태로 동작된다. 따라서 시스템을 구성하는 데이터 처리 모듈, 단계별 위험도 분석 모듈, 음성합성 안전 메시지 생성 모듈, VHF 방송장비 제어 모듈 등을 개발하였다. 또한, 개발한 시스템을 활용하여 실험실 수준의 테스트와 해상 실증 시험을 진행하였으며, 이를 통해 서비스 유용성을 검증하였다.

• 말소리와 음성과학
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• 제13권2호
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• pp.103-109
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• 2021

In this study, we investigated longitudinal music perception of adult cochlear implant (CI) users and how acoustic stimulation with CI affects their music performance. A total of 163 participants' data were analyzed retrospectively. 96 participants were using acoustic stimulation with CI and 67 participants were using electrical stimulation only via CI. The music performance (melody identification, appreciation, and satisfaction) data were collected pre-implantation, 1-year, and 2-year post-implantation. Mixed repeated measures of ANOVA and pairwise analysis adjusted by Tukey were used for the statistics. As result, in both groups, there were significant improvements in melody identification, music appreciation, and music satisfaction at 1-year, and 2-year post-implantation than a pre-implantation, but there was no significant difference between 1 and 2 years in any of the variables. Also, the group of acoustic stimulation with CI showed better perception skill of melody identification than the CI-only group. However, no differences found in music appreciation and satisfaction between the two groups, and possible explanations were discussed. In conclusion, acoustic and/or electrical hearing devices benefit the recipients in music performance over time. Although acoustic stimulation accompanied with electrical stimulation could benefit the recipients in terms of listening skills, those benefits may not extend to the subjective acceptance of music. These results suggest the need for improved sound processing mechanisms and music rehabilitation.

• 대한청각학회지
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• 제25권3호
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• pp.119-123
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• 2021

Background and Objectives: The influence of music training on different areas of the brain has been extensively researched, but the underlying neurobehavioral mechanisms remain unknown. In the present study, the effects of training for more than three years in Carnatic music (an Indian form of music) on the discrimination ability of different areas of the brain were tested using P300 analysis at three electrode placement sites. Subjects and Methods: A total of 27 individuals, including 13 singers aged 16-30 years (mean±standard deviation, 23±3.2 years) and 14 non-singers aged 16-30 years (mean age, 24±2.9 years), participated in this study. The singers had 3-5 years of formal training experience in Carnatic music. Cortical activities in areas corresponding to attention, discrimination, and memory were tested using P300 analysis, and the tests were performed using the Intelligent Hearing System. Results: The mean P300 amplitude of the singers at the Fz electrode placement site (5.64±1.81) was significantly higher than that of the non-singers (3.85±1.60; t(25)=3.3, p<0.05). The amplitude at the Cz electrode placement site in singers (5.90±2.18) was significantly higher than that in non-singers (3.46±1.40; t(25)=3.3, p<0.05). The amplitude at the Pz electrode placement site in singers (4.94±1.89) was significantly higher than that in non-singers (3.57±1.50; t(25)=3.3, p<0.05). Among singers, the mean P300 amplitude was significantly higher in the Cz site than the other placement sites, and among non-singers, the mean P300 amplitude was significantly higher in the Fz site than the other placement sites, i.e., music training facilitated enhancement of the P300 amplitude at the Cz site. Conclusions: The findings of this study suggest that more than three years of training in Carnatic singing can enhance neural coding to discriminate subtle differences, leading to enhanced discrimination abilities of the brain, mainly in the generation site corresponding to Cz electrode placement.

• Journal of Audiology & Otology
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• 제25권3호
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• pp.119-123
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• 2021

Background and Objectives: The influence of music training on different areas of the brain has been extensively researched, but the underlying neurobehavioral mechanisms remain unknown. In the present study, the effects of training for more than three years in Carnatic music (an Indian form of music) on the discrimination ability of different areas of the brain were tested using P300 analysis at three electrode placement sites. Subjects and Methods: A total of 27 individuals, including 13 singers aged 16-30 years (mean±standard deviation, 23±3.2 years) and 14 non-singers aged 16-30 years (mean age, 24±2.9 years), participated in this study. The singers had 3-5 years of formal training experience in Carnatic music. Cortical activities in areas corresponding to attention, discrimination, and memory were tested using P300 analysis, and the tests were performed using the Intelligent Hearing System. Results: The mean P300 amplitude of the singers at the Fz electrode placement site (5.64±1.81) was significantly higher than that of the non-singers (3.85±1.60; t(25)=3.3, p<0.05). The amplitude at the Cz electrode placement site in singers (5.90±2.18) was significantly higher than that in non-singers (3.46±1.40; t(25)=3.3, p<0.05). The amplitude at the Pz electrode placement site in singers (4.94±1.89) was significantly higher than that in non-singers (3.57±1.50; t(25)=3.3, p<0.05). Among singers, the mean P300 amplitude was significantly higher in the Cz site than the other placement sites, and among non-singers, the mean P300 amplitude was significantly higher in the Fz site than the other placement sites, i.e., music training facilitated enhancement of the P300 amplitude at the Cz site. Conclusions: The findings of this study suggest that more than three years of training in Carnatic singing can enhance neural coding to discriminate subtle differences, leading to enhanced discrimination abilities of the brain, mainly in the generation site corresponding to Cz electrode placement.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.571-578
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• 2006

음성을 통한 사용자 간의 정보 교환 방법은 추가적인 훈련 과정이나 장비가 필요하지 않고 공간 제약이 거의 없기 때문에 노약자 등 사용자의 연령대에 관계없이 사용될 수 있다. 또한 음성 정보는 시각이나 촉각 등 다른 정보 수단과의 상호 작용으로 상승 효과를 유발할 수 있기 때문에 사람과 기계 사이의 인터페이스로 활용될 경우 정보 전달력을 높이면서 사용자 친화적인 서비스를 제공할 수 있다. 그러나 동일한 상황에서 동일한 유형의 음성 정보가 사용자에게 지속적으로 제공될 경우 표현상의 단조로움으로 인해 정보 전달력이 급감할 수 있는 문제점도 지니고 있다. 따라서 음성을 통한 정보 전달의 경우 동일 상황이라 하더라도 사용자의 행동 패턴, 심리 상태, 주변 환경 등에 따라 차별화된 문장 구조 및 어휘의 선택으로 긴장감을 유지시켜 줄 수 있어야 한다. 본 논문에서는 5 세 전후의 어린이를 대상으로 그들의 행동 패턴 분석에 기반하여 개별화된 음성 합성 결과를 제공하는 시스템을 제안한다. 이를 위해 유치원이라는 물리적 공간에서 어린이들의 주된 행동 패턴을 분석하고, 현직 유치원 교사를 대상으로 동일한 정보를 전달하는 조건을 통하여 어린이의 행동 패턴과 위치 정보, 연령 및 성격에 따른 발화 문장의 문장 구조와 어휘적 특성을 파악한다. 최종적으로, 개별화된 음성 합성 결과를 위해 유치원 공간을 시뮬레이션 하고 RFID 를 이용하여 어린이의 행동 패턴 및 위치 정보를 파악한다. 그리고 각 상황에 따라 분석된 발화문의 문장 구조와 어휘 특성을 반영하여 음성으로 합성될 문장의 문장 구조 및 어휘를 재구성하여 사용자 개별화된 음성 합성 결과를 생성한다. 이러한 결과를 통해 어린이의 행동 패턴이 발화문의 문장 구조 및 어휘에 미치는 영향에 대해서 살펴보고 재구성된 결과 발화문을 평가한다.

• 대한전자공학회논문지
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• 제19권3호
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• pp.5-12
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• 1982

기본 모음의 분석을 위한 특징 파라미터로 특정 대역의 에너지의 비를 이용하는 방법을 사용하여 이 파라미터와 영통과률(zero crossing rate;ZCR) 그리고 에너지 파라미터의 논리 조합으로 한국어 기본산자 음성의 인식을 시도하였다. 본 실험을 위해서 음성 신호는 차단 주파수 10KHz의 저역 여파기로 여파되었고 20KHz의 표본화율로 표본화 되어 IBM 370으로 시뮬레이션 되었다. 본 시뮬레이션에서는 리메쯔 교환 알고리즘[l3].[14]에 의해 61차, 120차, 25차, 25차 등 4개의 FIR 디지탈 여파기를 설계하여 사용하였다. 실험 결과 3인의 화자에 대해서 92%의 인식률을 얻었다.

• IEIE Transactions on Smart Processing and Computing
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• 제5권3호
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• pp.215-221
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• 2016

This paper describes an automatic vowel sequence reproduction system for a talking robot built to reproduce the human voice based on the working behavior of the human articulatory system. A sound analysis system is developed to record a sentence spoken by a human (mainly vowel sequences in the Japanese language) and to then analyze that sentence to give the correct command packet so the talking robot can repeat it. An algorithm based on a short-time energy method is developed to separate and count sound phonemes. A matching template using partial correlation coefficients (PARCOR) is applied to detect a voice in the talking robot's database similar to the spoken voice. Combining the sound separation and counting the result with the detection of vowels in human speech, the talking robot can reproduce a vowel sequence similar to the one spoken by the human. Two tests to verify the working behavior of the robot are performed. The results of the tests indicate that the robot can repeat a sequence of vowels spoken by a human with an average success rate of more than 60%.

• 한국산업융합학회 논문집
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• 제21권1호
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• pp.17-27
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• 2018

We propose a new approach to control a biped robot motion based on iterative learning of voice command for the implementation of smart factory. The real-time processing of speech signal is very important for high-speed and precise automatic voice recognition technology. Recently, voice recognition is being used for intelligent robot control, artificial life, wireless communication and IoT application. In order to extract valuable information from the speech signal, make decisions on the process, and obtain results, the data needs to be manipulated and analyzed. Basic method used for extracting the features of the voice signal is to find the Mel frequency cepstral coefficients. Mel-frequency cepstral coefficients are the coefficients that collectively represent the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. The reliability of voice command to control of the biped robot's motion is illustrated by computer simulation and experiment for biped walking robot with 24 joint.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 춘계학술대회 및 임시총회
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• pp.1-5
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• 2002

본 논문은 수족이 불편한 장애인의 편리성을 위해 휠체어에 음성인식 모듈을 개발하는데 목표로 하고 있다. 본 시스템의 주프로세서는 TMS320C32를 이용하였고, 전처리단계에서 잡음환경의 특성을 고려하여 Winer 필터를 적용해서 잡음을 제거하였고 특징추출과정에서는 LPC&Cepstrum을 이용하여 프레임당 12차의 특징패턴을 추출하였다. 그 후 인식부에서는 기존의 알고리즘 중 고립단어에서 흔히 사용하는 DTW(Dynamic Time Warping)과 오인식률 발생을 방지하기 위해 NN(Neural Network)를 결합한 Hybrid 형태로 구현하였다. 본 연구에서는 DTW와 Hybrid형태를 각각 실험한 결과 잡음환경에서 고립단어 인식률이 평균 96%이상 나타났다.

• 음성과학
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• 제14권1호
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• pp.137-147
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• 2007

The purpose of this study was to examine the syllable structures of ten Korean numeric sounds produced by ten students. Each sound was normalized by its maximum intensity value and divided into onset, vowel, and coda sections after finding abrupt or visible changes in energy values or cumulative values of lower spectral energy at each pulse point using four Praat scripts. Then, segmental durations and cumulative intensity values of each syllable were obtained to find a statistical summary of the syllable structure. Intensity values at 100 proportional time points were also collected to compare the ten sounds. Results showed as follows: Firstly, there was not much deviation from the grand average duration and intensity for the majority of the sounds except the two diphthongal sounds on which their boundary points varied among the speakers. Secondly, the onset point for the CV or CVC category sounds and the boundary between the vowel and the nasal or lateral sound were easy to identify, which may be automatically traced later. Thirdly, there seems some tradeoff among the sections maintaining the same total duration per each syllable. Further studies on syllables with various onsets or codas would be desirable to make a general statement on the Korean syllable structure.